Articles | Volume 18, issue 1
https://doi.org/10.5194/nhess-18-125-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-18-125-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
10 Jan 2018
Research article |
| 10 Jan 2018
Satellite observations for describing fire patterns and climate-related fire drivers in the Brazilian savannas
Guilherme Augusto Verola Mataveli
CORRESPONDING AUTHOR
Department of Geography, University of São Paulo, São Paulo, 05508-000, Brazil
Maria Elisa Siqueira Silva
Department of Geography, University of São Paulo, São Paulo, 05508-000, Brazil
Gabriel Pereira
Department of Geography, University of São Paulo, São Paulo, 05508-000, Brazil
Department of Geosciences, Federal University of São João del-Rei, São João del-Rei, 36307-352, Brazil
Francielle da Silva Cardozo
Department of Geosciences, Federal University of São João del-Rei, São João del-Rei, 36307-352, Brazil
Fernando Shinji Kawakubo
Department of Geography, University of São Paulo, São Paulo, 05508-000, Brazil
Gabriel Bertani
Remote Sensing Division, National Institute for Space Research, São José dos Campos,12227-010, Brazil
Julio Cezar Costa
Department of Geosciences, Federal University of São João del-Rei, São João del-Rei, 36307-352, Brazil
Raquel de Cássia Ramos
Department of Geosciences, Federal University of São João del-Rei, São João del-Rei, 36307-352, Brazil
Viviane Valéria da Silva
Department of Geosciences, Federal University of São João del-Rei, São João del-Rei, 36307-352, Brazil
Related authors
Matthew W. Jones, Douglas I. Kelley, Chantelle A. Burton, Francesca Di Giuseppe, Maria Lucia F. Barbosa, Esther Brambleby, Andrew J. Hartley, Anna Lombardi, Guilherme Mataveli, Joe R. McNorton, Fiona R. Spuler, Jakob B. Wessel, John T. Abatzoglou, Liana O. Anderson, Niels Andela, Sally Archibald, Dolors Armenteras, Eleanor Burke, Rachel Carmenta, Emilio Chuvieco, Hamish Clarke, Stefan H. Doerr, Paulo M. Fernandes, Louis Giglio, Douglas S. Hamilton, Stijn Hantson, Sarah Harris, Piyush Jain, Crystal A. Kolden, Tiina Kurvits, Seppe Lampe, Sarah Meier, Stacey New, Mark Parrington, Morgane M. G. Perron, Yuquan Qu, Natasha S. Ribeiro, Bambang H. Saharjo, Jesus San-Miguel-Ayanz, Jacquelyn K. Shuman, Veerachai Tanpipat, Guido R. van der Werf, Sander Veraverbeke, and Gavriil Xanthopoulos
Earth Syst. Sci. Data, 16, 3601–3685, https://doi.org/10.5194/essd-16-3601-2024, https://doi.org/10.5194/essd-16-3601-2024, 2024
Short summary
Short summary
This inaugural State of Wildfires report catalogues extreme fires of the 2023–2024 fire season. For key events, we analyse their predictability and drivers and attribute them to climate change and land use. We provide a seasonal outlook and decadal projections. Key anomalies occurred in Canada, Greece, and western Amazonia, with other high-impact events catalogued worldwide. Climate change significantly increased the likelihood of extreme fires, and mitigation is required to lessen future risk.
Matthew W. Jones, Douglas I. Kelley, Chantelle A. Burton, Francesca Di Giuseppe, Maria Lucia F. Barbosa, Esther Brambleby, Andrew J. Hartley, Anna Lombardi, Guilherme Mataveli, Joe R. McNorton, Fiona R. Spuler, Jakob B. Wessel, John T. Abatzoglou, Liana O. Anderson, Niels Andela, Sally Archibald, Dolors Armenteras, Eleanor Burke, Rachel Carmenta, Emilio Chuvieco, Hamish Clarke, Stefan H. Doerr, Paulo M. Fernandes, Louis Giglio, Douglas S. Hamilton, Stijn Hantson, Sarah Harris, Piyush Jain, Crystal A. Kolden, Tiina Kurvits, Seppe Lampe, Sarah Meier, Stacey New, Mark Parrington, Morgane M. G. Perron, Yuquan Qu, Natasha S. Ribeiro, Bambang H. Saharjo, Jesus San-Miguel-Ayanz, Jacquelyn K. Shuman, Veerachai Tanpipat, Guido R. van der Werf, Sander Veraverbeke, and Gavriil Xanthopoulos
Earth Syst. Sci. Data, 16, 3601–3685, https://doi.org/10.5194/essd-16-3601-2024, https://doi.org/10.5194/essd-16-3601-2024, 2024
Short summary
Short summary
This inaugural State of Wildfires report catalogues extreme fires of the 2023–2024 fire season. For key events, we analyse their predictability and drivers and attribute them to climate change and land use. We provide a seasonal outlook and decadal projections. Key anomalies occurred in Canada, Greece, and western Amazonia, with other high-impact events catalogued worldwide. Climate change significantly increased the likelihood of extreme fires, and mitigation is required to lessen future risk.
Aditya Kumar, R. Bradley Pierce, Ravan Ahmadov, Gabriel Pereira, Saulo Freitas, Georg Grell, Chris Schmidt, Allen Lenzen, Joshua P. Schwarz, Anne E. Perring, Joseph M. Katich, John Hair, Jose L. Jimenez, Pedro Campuzano-Jost, and Hongyu Guo
Atmos. Chem. Phys., 22, 10195–10219, https://doi.org/10.5194/acp-22-10195-2022, https://doi.org/10.5194/acp-22-10195-2022, 2022
Short summary
Short summary
We use the WRF-Chem model with new implementations of GOES-16 wildfire emissions and plume rise based on fire radiative power (FRP) to interpret aerosol observations during the 2019 NASA–NOAA FIREX-AQ field campaign and perform model evaluations. The model shows significant improvements in simulating the variety of aerosol loading environments sampled during FIREX-AQ. Our results also highlight the importance of accurate wildfire diurnal cycle and aerosol chemical mechanisms in models.
Saulo R. Freitas, Jairo Panetta, Karla M. Longo, Luiz F. Rodrigues, Demerval S. Moreira, Nilton E. Rosário, Pedro L. Silva Dias, Maria A. F. Silva Dias, Enio P. Souza, Edmilson D. Freitas, Marcos Longo, Ariane Frassoni, Alvaro L. Fazenda, Cláudio M. Santos e Silva, Cláudio A. B. Pavani, Denis Eiras, Daniela A. França, Daniel Massaru, Fernanda B. Silva, Fernando C. Santos, Gabriel Pereira, Gláuber Camponogara, Gonzalo A. Ferrada, Haroldo F. Campos Velho, Isilda Menezes, Julliana L. Freire, Marcelo F. Alonso, Madeleine S. Gácita, Maurício Zarzur, Rafael M. Fonseca, Rafael S. Lima, Ricardo A. Siqueira, Rodrigo Braz, Simone Tomita, Valter Oliveira, and Leila D. Martins
Geosci. Model Dev., 10, 189–222, https://doi.org/10.5194/gmd-10-189-2017, https://doi.org/10.5194/gmd-10-189-2017, 2017
Short summary
Short summary
We present a new version of the Brazilian developments on the Regional Atmospheric Modeling System (BRAMS) where different previous versions for weather, chemistry, and the carbon cycle were unified in a single harmonized software system. This version also has a new set of state-of-the-art physical parametrizations and higher computational parallel and memory usage efficiency. BRAMS has been applied for research and operational weather and air quality forecasting, largely in South America.
Gabriel Pereira, Ricardo Siqueira, Nilton E. Rosário, Karla L. Longo, Saulo R. Freitas, Francielle S. Cardozo, Johannes W. Kaiser, and Martin J. Wooster
Atmos. Chem. Phys., 16, 6961–6975, https://doi.org/10.5194/acp-16-6961-2016, https://doi.org/10.5194/acp-16-6961-2016, 2016
Short summary
Short summary
Fires associated with land use and land cover changes release large amounts of aerosols and trace gases into the atmosphere. Although several inventories of biomass burning emissions cover Brazil, there are still considerable uncertainties and differences among them. However, results indicate that emission derived via similar methods tend to agree with one other, but aerosol emissions from fires with particularly high biomass consumption still lead to an underestimation.
S. Archer-Nicholls, D. Lowe, E. Darbyshire, W. T. Morgan, M. M. Bela, G. Pereira, J. Trembath, J. W. Kaiser, K. M. Longo, S. R. Freitas, H. Coe, and G. McFiggans
Geosci. Model Dev., 8, 549–577, https://doi.org/10.5194/gmd-8-549-2015, https://doi.org/10.5194/gmd-8-549-2015, 2015
Short summary
Short summary
The regional WRF-Chem model was used to study aerosol particles from biomass burning in South America. The modelled estimates of fire plume injection heights were found to be too high, with serious implications for modelled aerosol vertical distribution, transport and impacts on local climate. A modified emission scenario was developed which improved the predicted injection height. Model results were compared and evaluated against in situ measurements from the 2012 SAMBBA flight campaign.
Related subject area
Other Hazards (e.g., Glacial and Snow Hazards, Karst, Wildfires Hazards, and Medical Geo-Hazards)
Glide-snow avalanches: a mechanical, threshold-based release area model
Improving fire severity prediction in south-eastern Australia using vegetation-specific information
How hard do avalanche practitioners tap during snow stability tests?
A large-scale validation of snowpack simulations in support of avalanche forecasting focusing on critical layers
A glacial lake outburst flood risk assessment for the Phochhu river basin, Bhutan
Statistical calibration of probabilistic medium-range fire weather index forecasts in Europe
AutoATES v2.0: Automated Avalanche Terrain Exposure Scale mapping
Modelling the vulnerability of urban settings to wildland–urban interface fires in Chile
Modeling of indoor 222Rn in data-scarce regions: an interactive dashboard approach for Bogotá, Colombia
A regional early warning for slushflow hazard
A new approach for drought index adjustment to clay-shrinkage-induced subsidence over France: advantages of the interactive leaf area index
Automated Avalanche Terrain Exposure Scale (ATES) mapping – local validation and optimization in western Canada
Improving the fire weather index system for peatlands using peat-specific hydrological input data
Brief communication: The Lahaina Fire disaster – how models can be used to understand and predict wildfires
Prediction of natural dry-snow avalanche activity using physics-based snowpack simulations
Early warning system for ice collapses and river blockages in the Sedongpu Valley, southeastern Tibetan Plateau
Fire risk modeling: an integrated and data-driven approach applied to Sicily
Avalanche size estimation and avalanche outline determination by experts: reliability and implications for practice
Fluid conduits and shallow-reservoir structure defined by geoelectrical tomography at the Nirano Salse (Italy)
Estimating the effects of meteorology and land cover on fire growth in Peru using a novel difference equation model
Review article: Snow and ice avalanches in high mountain Asia – scientific, local and indigenous knowledge
Reduced-order digital twin and latent data assimilation for global wildfire prediction
A user perspective on the avalanche danger scale – insights from North America
Characterizing the rate of spread of large wildfires in emerging fire environments of northwestern Europe using Visible Infrared Imaging Radiometer Suite active fire data
Evaluation of low-cost Raspberry Pi sensors for structure-from-motion reconstructions of glacier calving fronts
Temporal evolution of crack propagation characteristics in a weak snowpack layer: conditions of crack arrest and sustained propagation
A data-driven model for Fennoscandian wildfire danger
Equivalent hazard magnitude scale
Statistical modelling of air quality impacts from individual forest fires in New South Wales, Australia
Drivers of extreme burnt area in Portugal: fire weather and vegetation
Coupling wildfire spread simulations and connectivity analysis for hazard assessment: a case study in Serra da Cabreira, Portugal
Glacial lake outburst flood hazard under current and future conditions: worst-case scenarios in a transboundary Himalayan basin
What weather variables are important for wet and slab avalanches under a changing climate in a low-altitude mountain range in Czechia?
Modelling ignition probability for human- and lightning-caused wildfires in Victoria, Australia
Automated snow avalanche release area delineation in data-sparse, remote, and forested regions
The 2017 Split wildfire in Croatia: evolution and the role of meteorological conditions
Progress and challenges in glacial lake outburst flood research (2017–2021): a research community perspective
Global assessment and mapping of ecological vulnerability to wildfires
The impact of terrain model source and resolution on snow avalanche modeling
Travel and terrain advice statements in public avalanche bulletins: a quantitative analysis of who uses this information, what makes it useful, and how it can be improved for users
Data-driven automated predictions of the avalanche danger level for dry-snow conditions in Switzerland
On the correlation between a sub-level qualifier refining the danger level with observations and models relating to the contributing factors of avalanche danger
Automated avalanche hazard indication mapping on a statewide scale
Forecasting the regional fire radiative power for regularly ignited vegetation fires
Environmental factors affecting wildfire-burned areas in southeastern France, 1970–2019
Detrainment and braking of snow avalanches interacting with forests
Past and future trends in fire weather for the UK
Methodological and conceptual challenges in rare and severe event forecast verification
Multi-method monitoring of rockfall activity along the classic route up Mont Blanc (4809 m a.s.l.) to encourage adaptation by mountaineers
Wildfire–atmosphere interaction index for extreme-fire behaviour
Amelie Fees, Alec van Herwijnen, Michael Lombardo, Jürg Schweizer, and Peter Lehmann
Nat. Hazards Earth Syst. Sci., 24, 3387–3400, https://doi.org/10.5194/nhess-24-3387-2024, https://doi.org/10.5194/nhess-24-3387-2024, 2024
Short summary
Short summary
Glide-snow avalanches release at the ground–snow interface, and their release process is poorly understood. To investigate the influence of spatial variability (snowpack and basal friction) on avalanche release, we developed a 3D, mechanical, threshold-based model that reproduces an observed release area distribution. A sensitivity analysis showed that the distribution was mostly influenced by the basal friction uniformity, while the variations in snowpack properties had little influence.
Kang He, Xinyi Shen, Cory Merow, Efthymios Nikolopoulos, Rachael V. Gallagher, Feifei Yang, and Emmanouil N. Anagnostou
Nat. Hazards Earth Syst. Sci., 24, 3337–3355, https://doi.org/10.5194/nhess-24-3337-2024, https://doi.org/10.5194/nhess-24-3337-2024, 2024
Short summary
Short summary
A framework combining a fire severity classification with a regression model to predict an indicator of fire severity derived from Landsat imagery (difference normalized burning ratio, dNBR) is proposed. The results show that the proposed predictive technique is capable of providing robust fire severity prediction information, which can be used for forecasting seasonal fire severity and, subsequently, impacts on biodiversity and ecosystems under projected future climate conditions.
Håvard B. Toft, Samuel V. Verplanck, and Markus Landrø
Nat. Hazards Earth Syst. Sci., 24, 2757–2772, https://doi.org/10.5194/nhess-24-2757-2024, https://doi.org/10.5194/nhess-24-2757-2024, 2024
Short summary
Short summary
This study investigates inconsistencies in impact force as part of extended column tests (ECTs). We measured force-time curves from 286 practitioners in Scandinavia, Central Europe, and North America. The results show a large variability in peak forces and loading rates across wrist, elbow, and shoulder taps, challenging the ECT's reliability.
Florian Herla, Pascal Haegeli, Simon Horton, and Patrick Mair
Nat. Hazards Earth Syst. Sci., 24, 2727–2756, https://doi.org/10.5194/nhess-24-2727-2024, https://doi.org/10.5194/nhess-24-2727-2024, 2024
Short summary
Short summary
Snowpack simulations are increasingly employed by avalanche warning services to inform about critical avalanche layers buried in the snowpack. However, validity concerns limit their operational value. We present methods that enable meaningful comparisons between snowpack simulations and regional assessments of avalanche forecasters to quantify the performance of the Canadian weather and snowpack model chain to represent thin critical avalanche layers on a large scale and in real time.
Tandin Wangchuk and Ryota Tsubaki
Nat. Hazards Earth Syst. Sci., 24, 2523–2540, https://doi.org/10.5194/nhess-24-2523-2024, https://doi.org/10.5194/nhess-24-2523-2024, 2024
Short summary
Short summary
A glacial lake outburst flood (GLOF) is a natural hazard in which water from a glacier-fed lake is swiftly discharged, causing serious harm to life, infrastructure, and communities. We used numerical models to predict the potential consequences of a GLOF originating from the Thorthomi glacial lake in Bhutan. We found that if a GLOF occurs, the lake could release massive flood water within 4 h, posing a considerable risk. Study findings help to mitigate the impacts of future GLOFs.
Stephanie Bohlmann and Marko Laine
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-57, https://doi.org/10.5194/nhess-2024-57, 2024
Revised manuscript accepted for NHESS
Short summary
Short summary
Probabilistic ensemble forecasts of the Canadian Forest Fire Weather Index (FWI) can be used to estimate the possible risk for wildfires but requires post-processing to provide accurate and reliable predictions. We present a calibration method using non-homogeneous Gaussian regression to statistical post-process FWI forecasts up to 15 days. Calibration improves the forecast especially at short lead times and in regions with elevated FWI values.
Håvard B. Toft, John Sykes, Andrew Schauer, Jordy Hendrikx, and Audun Hetland
Nat. Hazards Earth Syst. Sci., 24, 1779–1793, https://doi.org/10.5194/nhess-24-1779-2024, https://doi.org/10.5194/nhess-24-1779-2024, 2024
Short summary
Short summary
Manual Avalanche Terrain Exposure Scale (ATES) mapping is time-consuming and inefficient for large-scale applications. The updated algorithm for automated ATES mapping overcomes previous limitations by including forest density data, improving the avalanche runout estimations in low-angle runout zones, accounting for overhead exposure and open-source software. Results show that the latest version has significantly improved its performance.
Paula Aguirre, Jorge León, Constanza González-Mathiesen, Randy Román, Manuela Penas, and Alonso Ogueda
Nat. Hazards Earth Syst. Sci., 24, 1521–1537, https://doi.org/10.5194/nhess-24-1521-2024, https://doi.org/10.5194/nhess-24-1521-2024, 2024
Short summary
Short summary
Wildfires pose a significant risk to property located in the wildland–urban interface (WUI). To assess and mitigate this risk, we need to understand which characteristics of buildings and building arrangements make them more prone to damage. We used a combination of data collection and analysis methods to study the vulnerability of dwellings in the WUI for case studies in Chile and concluded that the spatial arrangement of houses has a substantial impact on their vulnerability to wildfires.
Martín Domínguez Durán, María Angélica Sandoval Garzón, and Carme Huguet
Nat. Hazards Earth Syst. Sci., 24, 1319–1339, https://doi.org/10.5194/nhess-24-1319-2024, https://doi.org/10.5194/nhess-24-1319-2024, 2024
Short summary
Short summary
In this study we created a cost-effective alternative to bridge the baseline information gap on indoor radon (a highly carcinogenic gas) in regions where measurements are scarce. We model indoor radon concentrations to understand its spatial distribution and the potential influential factors. We evaluated the performance of this alternative using a small number of measurements taken in Bogotá, Colombia. Our results show that this alternative could help in the making of future studies and policy.
Monica Sund, Heidi A. Grønsten, and Siv Å. Seljesæter
Nat. Hazards Earth Syst. Sci., 24, 1185–1201, https://doi.org/10.5194/nhess-24-1185-2024, https://doi.org/10.5194/nhess-24-1185-2024, 2024
Short summary
Short summary
Slushflows are rapid mass movements of water-saturated snow released in gently sloping terrain (< 30°), often unexpectedly. Early warning is crucial to prevent casualties and damage to infrastructure. A regional early warning for slushflow hazard was established in Norway in 2013–2014 and has been operational since. We present a methodology using the ratio between water supply and snow depth by snow type to assess slushflow hazard. This approach is useful for other areas with slushflow hazard.
Sophie Barthelemy, Bertrand Bonan, Jean-Christophe Calvet, Gilles Grandjean, David Moncoulon, Dorothée Kapsambelis, and Séverine Bernardie
Nat. Hazards Earth Syst. Sci., 24, 999–1016, https://doi.org/10.5194/nhess-24-999-2024, https://doi.org/10.5194/nhess-24-999-2024, 2024
Short summary
Short summary
This work presents a drought index specifically adapted to subsidence, a seasonal phenomenon of soil shrinkage that occurs frequently in France and damages buildings. The index is computed from land surface model simulations and evaluated by a rank correlation test with insurance data. With its optimal configuration, the index is able to identify years of both zero and significant loss.
John Sykes, Håvard Toft, Pascal Haegeli, and Grant Statham
Nat. Hazards Earth Syst. Sci., 24, 947–971, https://doi.org/10.5194/nhess-24-947-2024, https://doi.org/10.5194/nhess-24-947-2024, 2024
Short summary
Short summary
The research validates and optimizes an automated approach for creating classified snow avalanche terrain maps using open-source geospatial modeling tools. Validation is based on avalanche-expert-based maps for two study areas. Our results show that automated maps have an overall accuracy equivalent to the average accuracy of three human maps. Automated mapping requires a fraction of the time and cost of traditional methods and opens the door for large-scale mapping of mountainous terrain.
Jonas Mortelmans, Anne Felsberg, Gabriëlle J. M. De Lannoy, Sander Veraverbeke, Robert D. Field, Niels Andela, and Michel Bechtold
Nat. Hazards Earth Syst. Sci., 24, 445–464, https://doi.org/10.5194/nhess-24-445-2024, https://doi.org/10.5194/nhess-24-445-2024, 2024
Short summary
Short summary
With global warming increasing the frequency and intensity of wildfires in the boreal region, accurate risk assessments are becoming more crucial than ever before. The Canadian Fire Weather Index (FWI) is a renowned system, yet its effectiveness in peatlands, where hydrology plays a key role, is limited. By incorporating groundwater data from numerical models and satellite observations, our modified FWI improves the accuracy of fire danger predictions, especially over summer.
Timothy W. Juliano, Fernando Szasdi-Bardales, Neil P. Lareau, Kasra Shamsaei, Branko Kosović, Negar Elhami-Khorasani, Eric P. James, and Hamed Ebrahimian
Nat. Hazards Earth Syst. Sci., 24, 47–52, https://doi.org/10.5194/nhess-24-47-2024, https://doi.org/10.5194/nhess-24-47-2024, 2024
Short summary
Short summary
Following the destructive Lahaina Fire in Hawaii, our team has modeled the wind and fire spread processes to understand the drivers of this devastating event. The simulation results show that extreme winds with high variability, a fire ignition close to the community, and construction characteristics led to continued fire spread in multiple directions. Our results suggest that available modeling capabilities can provide vital information to guide decision-making during wildfire events.
Stephanie Mayer, Frank Techel, Jürg Schweizer, and Alec van Herwijnen
Nat. Hazards Earth Syst. Sci., 23, 3445–3465, https://doi.org/10.5194/nhess-23-3445-2023, https://doi.org/10.5194/nhess-23-3445-2023, 2023
Short summary
Short summary
We present statistical models to estimate the probability for natural dry-snow avalanche release and avalanche size based on the simulated layering of the snowpack. The benefit of these models is demonstrated in comparison with benchmark models based on the amount of new snow. From the validation with data sets of quality-controlled avalanche observations and danger levels, we conclude that these models may be valuable tools to support forecasting natural dry-snow avalanche activity.
Wei Yang, Zhongyan Wang, Baosheng An, Yingying Chen, Chuanxi Zhao, Chenhui Li, Yongjie Wang, Weicai Wang, Jiule Li, Guangjian Wu, Lin Bai, Fan Zhang, and Tandong Yao
Nat. Hazards Earth Syst. Sci., 23, 3015–3029, https://doi.org/10.5194/nhess-23-3015-2023, https://doi.org/10.5194/nhess-23-3015-2023, 2023
Short summary
Short summary
We present the structure and performance of the early warning system (EWS) for glacier collapse and river blockages in the southeastern Tibetan Plateau. The EWS warned of three collapse–river blockage chain events and seven small-scale events. The volume and location of the collapses and the percentage of ice content influenced the velocities of debris flows. Such a study is helpful for understanding the mechanism of glacier hazards and for establishing similar EWSs in other high-risk regions.
Alba Marquez Torres, Giovanni Signorello, Sudeshna Kumar, Greta Adamo, Ferdinando Villa, and Stefano Balbi
Nat. Hazards Earth Syst. Sci., 23, 2937–2959, https://doi.org/10.5194/nhess-23-2937-2023, https://doi.org/10.5194/nhess-23-2937-2023, 2023
Short summary
Short summary
Only by mapping fire risks can we manage forest and prevent fires under current and future climate conditions. We present a fire risk map based on k.LAB, artificial-intelligence-powered and open-source software integrating multidisciplinary knowledge in near real time. Through an easy-to-use web application, we model the hazard with 84 % accuracy for Sicily, a representative Mediterranean region. Fire risk analysis reveals 45 % of vulnerable areas face a high probability of danger in 2050.
Elisabeth D. Hafner, Frank Techel, Rodrigo Caye Daudt, Jan Dirk Wegner, Konrad Schindler, and Yves Bühler
Nat. Hazards Earth Syst. Sci., 23, 2895–2914, https://doi.org/10.5194/nhess-23-2895-2023, https://doi.org/10.5194/nhess-23-2895-2023, 2023
Short summary
Short summary
Oftentimes when objective measurements are not possible, human estimates are used instead. In our study, we investigate the reproducibility of human judgement for size estimates, the mappings of avalanches from oblique photographs and remotely sensed imagery. The variability that we found in those estimates is worth considering as it may influence results and should be kept in mind for several applications.
Gerardo Romano, Marco Antonellini, Domenico Patella, Agata Siniscalchi, Andrea Tallarico, Simona Tripaldi, and Antonello Piombo
Nat. Hazards Earth Syst. Sci., 23, 2719–2735, https://doi.org/10.5194/nhess-23-2719-2023, https://doi.org/10.5194/nhess-23-2719-2023, 2023
Short summary
Short summary
The Nirano Salse (northern Apennines, Italy) is characterized by several active mud vents and hosts thousands of visitors every year. New resistivity models describe the area down to 250 m, improving our geostructural knowledge of the area and giving useful indications for a better understanding of mud volcano dynamics and for the better planning of safer tourist access to the area.
Harry Podschwit, William Jolly, Ernesto Alvarado, Andrea Markos, Satyam Verma, Sebastian Barreto-Rivera, Catherine Tobón-Cruz, and Blanca Ponce-Vigo
Nat. Hazards Earth Syst. Sci., 23, 2607–2624, https://doi.org/10.5194/nhess-23-2607-2023, https://doi.org/10.5194/nhess-23-2607-2023, 2023
Short summary
Short summary
We developed a model of fire spread that assumes that fire spreads in all directions at a constant speed and is extinguished at a constant rate. The model was fitted to 1003 fires in Peru between 2001 and 2020 using satellite burned area data from the GlobFire project. We fitted statistical models that predicted the spread and extinguish rates based on weather and land cover variables and found that these variables were good predictors of the spread and extinguish rates.
Anushilan Acharya, Jakob F. Steiner, Khwaja Momin Walizada, Salar Ali, Zakir Hussain Zakir, Arnaud Caiserman, and Teiji Watanabe
Nat. Hazards Earth Syst. Sci., 23, 2569–2592, https://doi.org/10.5194/nhess-23-2569-2023, https://doi.org/10.5194/nhess-23-2569-2023, 2023
Short summary
Short summary
All accessible snow and ice avalanches together with previous scientific research, local knowledge, and existing or previously active adaptation and mitigation solutions were investigated in the high mountain Asia (HMA) region to have a detailed overview of the state of knowledge and identify gaps. A comprehensive avalanche database from 1972–2022 is generated, including 681 individual events. The database provides a basis for the forecasting of avalanche hazards in different parts of HMA.
Caili Zhong, Sibo Cheng, Matthew Kasoar, and Rossella Arcucci
Nat. Hazards Earth Syst. Sci., 23, 1755–1768, https://doi.org/10.5194/nhess-23-1755-2023, https://doi.org/10.5194/nhess-23-1755-2023, 2023
Short summary
Short summary
This paper introduces a digital twin fire model using machine learning techniques to improve the efficiency of global wildfire predictions. The proposed model also manages to efficiently adjust the prediction results thanks to data assimilation techniques. The proposed digital twin runs 500 times faster than the current state-of-the-art physics-based model.
Abby Morgan, Pascal Haegeli, Henry Finn, and Patrick Mair
Nat. Hazards Earth Syst. Sci., 23, 1719–1742, https://doi.org/10.5194/nhess-23-1719-2023, https://doi.org/10.5194/nhess-23-1719-2023, 2023
Short summary
Short summary
The avalanche danger scale is a critical component for communicating the severity of avalanche hazard conditions to the public. We examine how backcountry recreationists in North America understand and use the danger scale for planning trips into the backcountry. Our results provide an important user perspective on the strengths and weaknesses of the existing scale and highlight opportunities for future improvements.
Adrián Cardíl, Victor M. Tapia, Santiago Monedero, Tomás Quiñones, Kerryn Little, Cathelijne R. Stoof, Joaquín Ramirez, and Sergio de-Miguel
Nat. Hazards Earth Syst. Sci., 23, 361–373, https://doi.org/10.5194/nhess-23-361-2023, https://doi.org/10.5194/nhess-23-361-2023, 2023
Short summary
Short summary
This study aims to unravel large-fire behavior in northwest Europe, a temperate region with a projected increase in wildfire risk. We propose a new method to identify wildfire rate of spread from satellites because it is important to know periods of elevated fire risk for suppression methods and land management. Results indicate that there is a peak in the area burned and rate of spread in the months of March and April, and there are significant differences for forest-type land covers.
Liam S. Taylor, Duncan J. Quincey, and Mark W. Smith
Nat. Hazards Earth Syst. Sci., 23, 329–341, https://doi.org/10.5194/nhess-23-329-2023, https://doi.org/10.5194/nhess-23-329-2023, 2023
Short summary
Short summary
Hazards from glaciers are becoming more likely as the climate warms, which poses a threat to communities living beneath them. We have developed a new camera system which can capture regular, high-quality 3D models to monitor small changes in glaciers which could be indicative of a future hazard. This system is far cheaper than more typical camera sensors yet produces very similar quality data. We suggest that deploying these cameras near glaciers could assist in warning communities of hazards.
Bastian Bergfeld, Alec van Herwijnen, Grégoire Bobillier, Philipp L. Rosendahl, Philipp Weißgraeber, Valentin Adam, Jürg Dual, and Jürg Schweizer
Nat. Hazards Earth Syst. Sci., 23, 293–315, https://doi.org/10.5194/nhess-23-293-2023, https://doi.org/10.5194/nhess-23-293-2023, 2023
Short summary
Short summary
For a slab avalanche to release, the snowpack must facilitate crack propagation over large distances. Field measurements on crack propagation at this scale are very scarce. We performed a series of experiments, up to 10 m long, over a period of 10 weeks. Beside the temporal evolution of the mechanical properties of the snowpack, we found that crack speeds were highest for tests resulting in full propagation. Based on these findings, an index for self-sustained crack propagation is proposed.
Sigrid Jørgensen Bakke, Niko Wanders, Karin van der Wiel, and Lena Merete Tallaksen
Nat. Hazards Earth Syst. Sci., 23, 65–89, https://doi.org/10.5194/nhess-23-65-2023, https://doi.org/10.5194/nhess-23-65-2023, 2023
Short summary
Short summary
In this study, we developed a machine learning model to identify dominant controls of wildfire in Fennoscandia and produce monthly fire danger probability maps. The dominant control was shallow-soil water anomaly, followed by air temperature and deep soil water. The model proved skilful with a similar performance as the existing Canadian Forest Fire Weather Index (FWI). We highlight the benefit of using data-driven models jointly with other fire models to improve fire monitoring and prediction.
Yi Victor Wang and Antonia Sebastian
Nat. Hazards Earth Syst. Sci., 22, 4103–4118, https://doi.org/10.5194/nhess-22-4103-2022, https://doi.org/10.5194/nhess-22-4103-2022, 2022
Short summary
Short summary
In this article, we propose an equivalent hazard magnitude scale and a method to evaluate and compare the strengths of natural hazard events across different hazard types, including earthquakes, tsunamis, floods, droughts, forest fires, tornadoes, cold waves, heat waves, and tropical cyclones. With our method, we determine that both the February 2021 North American cold wave event and Hurricane Harvey in 2017 were equivalent to a magnitude 7.5 earthquake in hazard strength.
Michael A. Storey and Owen F. Price
Nat. Hazards Earth Syst. Sci., 22, 4039–4062, https://doi.org/10.5194/nhess-22-4039-2022, https://doi.org/10.5194/nhess-22-4039-2022, 2022
Short summary
Short summary
Models are needed to understand and predict pollutant output from forest fires so fire agencies can reduce smoke-related risks to human health. We modelled air quality (PM2.5) based on fire area and weather variables. We found fire area and boundary layer height were influential on predictions, with distance, temperature, wind speed and relative humidity also important. The models predicted reasonably accurately in comparison to other existing methods but would benefit from further development.
Tomás Calheiros, Akli Benali, Mário Pereira, João Silva, and João Nunes
Nat. Hazards Earth Syst. Sci., 22, 4019–4037, https://doi.org/10.5194/nhess-22-4019-2022, https://doi.org/10.5194/nhess-22-4019-2022, 2022
Short summary
Short summary
Fire weather indices are used to assess the effect of weather on wildfires. Fire weather risk was computed and combined with large wildfires in Portugal. Results revealed the influence of vegetation cover: municipalities with a prevalence of shrublands, located in eastern parts, burnt under less extreme conditions than those with higher forested areas, situated in coastal regions. These findings are a novelty for fire science in Portugal and should be considered for fire management.
Ana C. L. Sá, Bruno Aparicio, Akli Benali, Chiara Bruni, Michele Salis, Fábio Silva, Martinho Marta-Almeida, Susana Pereira, Alfredo Rocha, and José Pereira
Nat. Hazards Earth Syst. Sci., 22, 3917–3938, https://doi.org/10.5194/nhess-22-3917-2022, https://doi.org/10.5194/nhess-22-3917-2022, 2022
Short summary
Short summary
Assessing landscape wildfire connectivity supported by wildfire spread simulations can improve fire hazard assessment and fuel management plans. Weather severity determines the degree of fuel patch connectivity and thus the potential to spread large and intense wildfires. Mapping highly connected patches in the landscape highlights patch candidates for prior fuel treatments, which ultimately will contribute to creating fire-resilient Mediterranean landscapes.
Simon K. Allen, Ashim Sattar, Owen King, Guoqing Zhang, Atanu Bhattacharya, Tandong Yao, and Tobias Bolch
Nat. Hazards Earth Syst. Sci., 22, 3765–3785, https://doi.org/10.5194/nhess-22-3765-2022, https://doi.org/10.5194/nhess-22-3765-2022, 2022
Short summary
Short summary
This study demonstrates how the threat of a very large outburst from a future lake can be feasibly assessed alongside that from current lakes to inform disaster risk management within a transboundary basin between Tibet and Nepal. Results show that engineering measures and early warning systems would need to be coupled with effective land use zoning and programmes to strengthen local response capacities in order to effectively reduce the risk associated with current and future outburst events.
Markéta Součková, Roman Juras, Kryštof Dytrt, Vojtěch Moravec, Johanna Ruth Blöcher, and Martin Hanel
Nat. Hazards Earth Syst. Sci., 22, 3501–3525, https://doi.org/10.5194/nhess-22-3501-2022, https://doi.org/10.5194/nhess-22-3501-2022, 2022
Short summary
Short summary
Avalanches are natural hazards that threaten people and infrastructure. With climate change, avalanche activity is changing. We analysed the change in frequency and size of avalanches in the Krkonoše Mountains, Czechia, and detected important variables with machine learning tools from 1979–2020. Wet avalanches in February and March have increased, and slab avalanches have decreased and become smaller. The identified variables and their threshold levels may help in avalanche decision-making.
Annalie Dorph, Erica Marshall, Kate A. Parkins, and Trent D. Penman
Nat. Hazards Earth Syst. Sci., 22, 3487–3499, https://doi.org/10.5194/nhess-22-3487-2022, https://doi.org/10.5194/nhess-22-3487-2022, 2022
Short summary
Short summary
Wildfire spatial patterns are determined by fire ignition sources and vegetation fuel moisture. Fire ignitions can be mediated by humans (owing to proximity to human infrastructure) or caused by lightning (owing to fuel moisture, average annual rainfall and local weather). When moisture in dead vegetation is below 20 % the probability of a wildfire increases. The results of this research enable accurate spatial mapping of ignition probability to aid fire suppression efforts and future research.
John Sykes, Pascal Haegeli, and Yves Bühler
Nat. Hazards Earth Syst. Sci., 22, 3247–3270, https://doi.org/10.5194/nhess-22-3247-2022, https://doi.org/10.5194/nhess-22-3247-2022, 2022
Short summary
Short summary
Automated snow avalanche terrain mapping provides an efficient method for large-scale assessment of avalanche hazards, which informs risk management decisions for transportation and recreation. This research reduces the cost of developing avalanche terrain maps by using satellite imagery and open-source software as well as improving performance in forested terrain. The research relies on local expertise to evaluate accuracy, so the methods are broadly applicable in mountainous regions worldwide.
Ivana Čavlina Tomašević, Kevin K. W. Cheung, Višnjica Vučetić, Paul Fox-Hughes, Kristian Horvath, Maja Telišman Prtenjak, Paul J. Beggs, Barbara Malečić, and Velimir Milić
Nat. Hazards Earth Syst. Sci., 22, 3143–3165, https://doi.org/10.5194/nhess-22-3143-2022, https://doi.org/10.5194/nhess-22-3143-2022, 2022
Short summary
Short summary
One of the most severe and impactful urban wildfire events in Croatian history has been reconstructed and analyzed. The study identified some important meteorological influences related to the event: the synoptic conditions of the Azores anticyclone, cold front, and upper-level shortwave trough all led to the highest fire weather index in 2017. A low-level jet, locally known as bura wind that can be explained by hydraulic jump theory, was the dynamic trigger of the event.
Adam Emmer, Simon K. Allen, Mark Carey, Holger Frey, Christian Huggel, Oliver Korup, Martin Mergili, Ashim Sattar, Georg Veh, Thomas Y. Chen, Simon J. Cook, Mariana Correas-Gonzalez, Soumik Das, Alejandro Diaz Moreno, Fabian Drenkhan, Melanie Fischer, Walter W. Immerzeel, Eñaut Izagirre, Ramesh Chandra Joshi, Ioannis Kougkoulos, Riamsara Kuyakanon Knapp, Dongfeng Li, Ulfat Majeed, Stephanie Matti, Holly Moulton, Faezeh Nick, Valentine Piroton, Irfan Rashid, Masoom Reza, Anderson Ribeiro de Figueiredo, Christian Riveros, Finu Shrestha, Milan Shrestha, Jakob Steiner, Noah Walker-Crawford, Joanne L. Wood, and Jacob C. Yde
Nat. Hazards Earth Syst. Sci., 22, 3041–3061, https://doi.org/10.5194/nhess-22-3041-2022, https://doi.org/10.5194/nhess-22-3041-2022, 2022
Short summary
Short summary
Glacial lake outburst floods (GLOFs) have attracted increased research attention recently. In this work, we review GLOF research papers published between 2017 and 2021 and complement the analysis with research community insights gained from the 2021 GLOF conference we organized. The transdisciplinary character of the conference together with broad geographical coverage allowed us to identify progress, trends and challenges in GLOF research and outline future research needs and directions.
Fátima Arrogante-Funes, Inmaculada Aguado, and Emilio Chuvieco
Nat. Hazards Earth Syst. Sci., 22, 2981–3003, https://doi.org/10.5194/nhess-22-2981-2022, https://doi.org/10.5194/nhess-22-2981-2022, 2022
Short summary
Short summary
We show that ecological value might be reduced by 50 % due to fire perturbation in ecosystems that have not developed in the presence of fire and/or that present changes in the fire regime. The biomes most affected are tropical and subtropical forests, tundra, and mangroves. Integration of biotic and abiotic fire regime and regeneration factors resulted in a powerful way to map ecological vulnerability to fire and develop assessments to generate adaptation plans of management in forest masses.
Aubrey Miller, Pascal Sirguey, Simon Morris, Perry Bartelt, Nicolas Cullen, Todd Redpath, Kevin Thompson, and Yves Bühler
Nat. Hazards Earth Syst. Sci., 22, 2673–2701, https://doi.org/10.5194/nhess-22-2673-2022, https://doi.org/10.5194/nhess-22-2673-2022, 2022
Short summary
Short summary
Natural hazard modelers simulate mass movements to better anticipate the risk to people and infrastructure. These simulations require accurate digital elevation models. We test the sensitivity of a well-established snow avalanche model (RAMMS) to the source and spatial resolution of the elevation model. We find key differences in the digital representation of terrain greatly affect the simulated avalanche results, with implications for hazard planning.
Kathryn C. Fisher, Pascal Haegeli, and Patrick Mair
Nat. Hazards Earth Syst. Sci., 22, 1973–2000, https://doi.org/10.5194/nhess-22-1973-2022, https://doi.org/10.5194/nhess-22-1973-2022, 2022
Short summary
Short summary
Avalanche bulletins include travel and terrain statements to provide recreationists with tangible guidance about how to apply the hazard information. We examined which bulletin users pay attention to these statements, what determines their usefulness, and how they could be improved. Our study shows that reducing jargon and adding simple explanations can significantly improve the usefulness of the statements for users with lower levels of avalanche awareness education who depend on this advice.
Cristina Pérez-Guillén, Frank Techel, Martin Hendrick, Michele Volpi, Alec van Herwijnen, Tasko Olevski, Guillaume Obozinski, Fernando Pérez-Cruz, and Jürg Schweizer
Nat. Hazards Earth Syst. Sci., 22, 2031–2056, https://doi.org/10.5194/nhess-22-2031-2022, https://doi.org/10.5194/nhess-22-2031-2022, 2022
Short summary
Short summary
A fully data-driven approach to predicting the danger level for dry-snow avalanche conditions in Switzerland was developed. Two classifiers were trained using a large database of meteorological data, snow cover simulations, and danger levels. The models performed well throughout the Swiss Alps, reaching a performance similar to the current experience-based avalanche forecasts. This approach shows the potential to be a valuable supplementary decision support tool for assessing avalanche hazard.
Frank Techel, Stephanie Mayer, Cristina Pérez-Guillén, Günter Schmudlach, and Kurt Winkler
Nat. Hazards Earth Syst. Sci., 22, 1911–1930, https://doi.org/10.5194/nhess-22-1911-2022, https://doi.org/10.5194/nhess-22-1911-2022, 2022
Short summary
Short summary
Can the resolution of forecasts of avalanche danger be increased by using a combination of absolute and comparative judgments? Using 5 years of Swiss avalanche forecasts, we show that, on average, sub-levels assigned to a danger level reflect the expected increase in the number of locations with poor snow stability and in the number and size of avalanches with increasing forecast sub-level.
Yves Bühler, Peter Bebi, Marc Christen, Stefan Margreth, Lukas Stoffel, Andreas Stoffel, Christoph Marty, Gregor Schmucki, Andrin Caviezel, Roderick Kühne, Stephan Wohlwend, and Perry Bartelt
Nat. Hazards Earth Syst. Sci., 22, 1825–1843, https://doi.org/10.5194/nhess-22-1825-2022, https://doi.org/10.5194/nhess-22-1825-2022, 2022
Short summary
Short summary
To calculate and visualize the potential avalanche hazard, we develop a method that automatically and efficiently pinpoints avalanche starting zones and simulate their runout for the entire canton of Grisons. The maps produced in this way highlight areas that could be endangered by avalanches and are extremely useful in multiple applications for the cantonal authorities, including the planning of new infrastructure, making alpine regions more safe.
Tero M. Partanen and Mikhail Sofiev
Nat. Hazards Earth Syst. Sci., 22, 1335–1346, https://doi.org/10.5194/nhess-22-1335-2022, https://doi.org/10.5194/nhess-22-1335-2022, 2022
Short summary
Short summary
The presented method aims to forecast regional wildfire-emitted radiative power in a time-dependent manner several days in advance. The temporal fire radiative power can be converted to an emission production rate, which can be implemented in air quality forecasting simulations. It is shown that in areas with a high incidence of wildfires, the fire radiative power is quite predictable, but otherwise it is not.
Christos Bountzouklis, Dennis M. Fox, and Elena Di Bernardino
Nat. Hazards Earth Syst. Sci., 22, 1181–1200, https://doi.org/10.5194/nhess-22-1181-2022, https://doi.org/10.5194/nhess-22-1181-2022, 2022
Short summary
Short summary
The study addresses the evolution of burned areas in southeastern France from 1970 to 2019 through the scope of a firefighting policy shift in 1994 that resulted in a significant decrease in the burned area. Regions with large fires were particularly impacted, whereas, in other areas, the fires remained frequent and occurred closer to built-up zones. Environmental characteristics such as south-facing slopes and low vegetation (bushes) are increasingly associated with burned areas.
Louis Védrine, Xingyue Li, and Johan Gaume
Nat. Hazards Earth Syst. Sci., 22, 1015–1028, https://doi.org/10.5194/nhess-22-1015-2022, https://doi.org/10.5194/nhess-22-1015-2022, 2022
Short summary
Short summary
This study investigates how forests affect the behaviour of snow avalanches through the evaluation of the amount of snow stopped by the trees and the analysis of energy dissipation mechanisms. Different avalanche features and tree configurations have been examined, leading to the proposal of a unified law for the detrained snow mass. Outcomes from this study can be directly implemented in operational models for avalanche risk assessment and contribute to improved forest management strategy.
Matthew C. Perry, Emilie Vanvyve, Richard A. Betts, and Erika J. Palin
Nat. Hazards Earth Syst. Sci., 22, 559–575, https://doi.org/10.5194/nhess-22-559-2022, https://doi.org/10.5194/nhess-22-559-2022, 2022
Short summary
Short summary
In the past, wildfires in the UK have occurred mainly in spring, with occasional events during hot, dry summers. Climate models predict a large future increase in hazardous fire weather conditions in summer. Wildfire can be considered an
emergent riskfor the UK, as past events have not had widespread major impacts, but this could change. The large increase in risk between the 2 °C and 4 °C levels of global warming highlights the importance of global efforts to keep warming below 2 °C.
Philip A. Ebert and Peter Milne
Nat. Hazards Earth Syst. Sci., 22, 539–557, https://doi.org/10.5194/nhess-22-539-2022, https://doi.org/10.5194/nhess-22-539-2022, 2022
Short summary
Short summary
There is no consensus about how to assess the quality of binary (yes or no) rare and severe event forecasts, i.e. forecasts involving natural hazards like tornadoes or avalanches. We offer a comprehensive overview of the challenges we face when making such an assessment and provide a critical review of existing solutions. We argue against all but one existing solution to assess the quality of such forecasts and present practical consequences to improve forecasting services.
Jacques Mourey, Pascal Lacroix, Pierre-Allain Duvillard, Guilhem Marsy, Marco Marcer, Emmanuel Malet, and Ludovic Ravanel
Nat. Hazards Earth Syst. Sci., 22, 445–460, https://doi.org/10.5194/nhess-22-445-2022, https://doi.org/10.5194/nhess-22-445-2022, 2022
Short summary
Short summary
More frequent rockfalls in high alpine environments due to climate change are a growing threat to mountaineers. This hazard is particularly important on the classic route up Mont Blanc. Our results show that rockfalls are most frequent during snowmelt periods and the warmest hours of the day, and that mountaineers do not adapt to the local rockfall hazard when planning their ascent. Disseminating the knowledge acquired from our study caused management measures to be implemented for the route.
Tomàs Artés, Marc Castellnou, Tracy Houston Durrant, and Jesús San-Miguel
Nat. Hazards Earth Syst. Sci., 22, 509–522, https://doi.org/10.5194/nhess-22-509-2022, https://doi.org/10.5194/nhess-22-509-2022, 2022
Short summary
Short summary
During the last 20 years extreme wildfires have challenged firefighting capabilities. Several fire danger indices are routinely used by firefighting services but are not suited to forecast convective extreme wildfire behaviour at the global scale. This article proposes a new fire danger index for deep moist convection, the extreme-fire behaviour index (EFBI), based on the analysis of the vertical profiles of the atmosphere above wildfires to use along with traditional fire danger indices.
Cited articles
Aguiar, D. A., Rudorff, B. F. T., Silva, W. F., Adami, M., and Mello, M. P.:
Remote sensing images in support of environmental protocol: monitoring the
sugarcane harvest in São Paulo State, Brazil, Remote Sens., 3,
2682–2703, https://doi.org/10.3390/rs3122682, 2011.
Andela, N., van der Werf, G. R., Kaiser, J. W., van Leeuwen, T. T., Wooster,
M. J., and Lehmann, C. E. R.: Biomass burning fuel consumption dynamics in
the tropics and subtropics assessed from satellite, Biogeosciences, 13,
3717–3734, https://doi.org/10.5194/bg-13-3717-2016, 2016.
Andela, N., Morton, D. C., Giglio, L., Chen, Y., van der Werf, G. R.,
Kasibhatla, P. S., DeFries, R. S., Collatz, G. J., Hantson, S., Kloster, S.,
Bachelet, D., Forrest, M., Lasslop, G., Li, F., Mangeon, S., Melton, J. R.,
Yue, C., and Randerson, J. T.: A human-driven decline in global burned area,
Science, 356, 6345, https://doi.org/10.1126/science.aal4108, 2017.
Andersen, A. N., Cook, G. D., Corbett, L. K., Douglas, M. M., Eager, R. W.,
Russel-Smith, J., Setterfield, S. A., Williams, R. J., and Woinarski, J. C.
Z.: Fire frequency and biodiversity conservation in Australian tropical
savannas: implications from the Kapalga fire experiment, Austral Ecol., 30,
155–167, https://doi.org/10.1111/j.1442-9993.2005.01441.x, 2005.
Archibald, S.: Managing the human component of fire regimes: lessons from
Africa, Philos. T. R. Soc. B, 371, 1696, https://doi.org/10.1098/rstb.2015.0346, 2016.
Archibald, S., Nickless, A., Govender, N., Scholes, R. J., and Lehsten V.:
Climate and the inter-annual variability of fire in southern Africa: a
meta-analysis using long-term field data and satellite-derived burnt area
data, Global Ecol. Biogeogr., 19, 794–809,
https://doi.org/10.1111/j.1466-8238.2010.00568.x, 2010.
Archibald, S., Carla Staver, A., and Levin, S. A.: Evolution of human-driven
fire regimes in Africa, P. Natl. Acad. Sci. USA, 109, 847–852,
https://doi.org/10.1073/pnas.1118648109, 2012.
Bajocco, S., Dragoz, E., Gitas, I., Smiraglia, D., Salvati, L., and Ricotta,
C.: Mapping forest fuels through vegetation phenology: the role of
coarse-resolution satellite time-series, Plos One, 10, e0119811,
https://doi.org/10.1371/journal.pone.0119811, 2015.
Benali, A., Mota, B., Carvalhais, N., Oom, D., Miller, L. M., Campagnolo, M.
L., and Pereira, J. M. C.: Bimodal fire regimes unveil a global-scale
anthropogenic fingerprint, Global Ecol. Biogeogr., 26, 799–811,
https://doi.org/10.1111/geb.12586, 2017.
Beuchle, R., Grecchi, R. C., Shimabukuro, Y. E., Seliger, R., Eva, H. D.,
Sano, E., and Achard, F.: Land cover changes in the Brazilian Cerrado and
Caatinga biomes from 1990 to 2010 based on a systematic remote sensing
sampling approach, Appl. Geogr., 58, 116–127,
https://doi.org/10.1016/j.apgeog.2015.01.017, 2015.
Bickel, U. and Dros, J. M.: The impacts of soybean cultivation on Brazilian
ecosystems: Three case studies, WWF Forest Conversion Initiative, Washington,
USA, 33 pp., 2003.
Bowman, D. M. J. S., Balch, J. K., Artaxo, P., Bond, W. J., Carlson, J. M.,
Cochrane, M. A., D'Antonio, C. M., DeFries, R. S., Doyle, J. C., Harrison,
S. P., Johnston, F. H., Keeley, J. E., Krawchuk, M. A., Kull, C. A.,
Marston, J. B., Moritz, M. A., Prentice, I. C., Roos, C. I., Scott, A. C.,
Swetnam, T. W., van der Werf, G. R., and Pyne, S. J.: Fire in the Earth
System, Science, 324, 5926, https://doi.org/10.1126/science.1163886, 2009.
Brunson, M. W. and Tanaka, J.: Economic and social impacts of wildfires and
invasive plants in American deserts: lessons from the Great Basin, Range.
Ecol. Manage., 64, 463–470, https://doi.org/10.2111/REM-D-10-00032.1, 2011.
Cardozo, F. S., Pereira, G., Shimabukuro, Y. E., and Moraes, E. C.:
Validation of MODIS MCD45A1 product to identify burned areas in Acre State -
Amazon forest, in: Proceedings of the IEEE 2012 International Geoscience and
Remote Sensing Symposium, 22–27 July 2012, München, Germany, 6741–6744,
2012.
Chen, Y., Morton, D. C., Jin, Y., Collatz, G. J., Kasibhatla, P. S., van der
Werf, G. R., DeFries, R. S., and Randerson, J. T.: Long-term trends and
interannual variability of forest, savanna and agricultural fires in South
America, Carbon Manag., 4, 617–638, https://doi.org/10.4155/cmt.13.61, 2013.
Chéret, V. and Denux, J. P.: Mapping wildfire danger at regional scale
with an index model integrating coarse spatial resolution remote sensing
data, J. Geophys. Res.-Biogeo., 112, G02006, https://doi.org/10.1029/2005jg000125,
2007.
Chéret, V. and Denux, J. P.: Analysis of MODIS NDVI time series to
calculate indicators of Mediterranean forest fire susceptibility, GISci. Rem.
Sens., 48, 171–194, https://doi.org/10.2747/1548-1603.48.2.171, 2011.
Coelho, C. A. S., de Oliveira, C. P., Ambrizzi, T., Reboita, M. S.,
Carpenedo, C. B., Campos, J. L. P. S., Tomaziello, A. C. N., Pampuch, L. A.,
Custódio, M. S., Dutra, L. M. M., da Rocha, R. P., and Rehbein, A.: The
2014 southeast Brazil austral summer drought: regional scale mechanisms and
teleconnections, Clim. Dynam., 46, 11–12, https://doi.org/10.1007/s00382-015-2800-1,
2016.
Coleve, P. A.: Aplicação de índices das condições de
vegetação no monitoramento em tempo quase real da seca em
Moçambique usando NOAA AVHRR-NDVI, GEOUSP, 29, 85–95, 2011.
Coutinho, L. M.: Fire in the Ecology of the Brazilian Cerrado, in: Fire in
the Tropical Biota: Ecosystem Processes and Global Challenges, Goldammer, J.
G., Springer-Verlag, Berlin, Germany, 82–105, 1990.
Dias, B. F. S.: Cerrados: Uma caracterização, in: Alternativas de
desenvolvimentos dos Cerrados: Manejo e conservação dos recursos
naturais renováveis, FUNATURA, Brasília, Brazil, 11–25, 1992.
Didan, K.: MOD13A3: MODIS/Terra vegetation Indices Monthly L3 Global 1km SIN
Grid V006, available at:
https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table/mod13a3_v006
(last access: 20 November 2017), 2015.
Durigan, G. and Ratter, J. A.: The need for a consistent fire policy for
Cerrado conservation, J. Appl. Ecol., 53, 11–15,
https://doi.org/10.1111/1365-2664.12559, 2016.
Fearnside, P. M.: Global warming and tropical land-use Change: Greenhouse gas
emissions from biomass burning, decomposition and soils in forest conversion,
shifting cultivation and secondary vegetation, Climatic Change, 46, 1–2,
https://doi.org/10.1023/a:1005569915357, 2000.
Fearnside, P. M.: Soybean cultivation as a threat to the environment in
Brazil, Environ. Conserv., 28, 23–38, https://doi.org/10.1017/s0376892901000030, 2001.
Freeborn, P. H., Wooster, M. J., Hao, W. M., Ryan, C. A., Nordgren, B. L.,
Baker, S. P., and Ichoku, C.: Relationships between energy release, fuel mass
loss, and trace gas and aerosol emissions during laboratory biomass fires, J.
Geophys. Res.-Atmos., 113, D01301, https://doi.org/10.1029/2007JD008679, 2008.
Friedl, M. A., Mclver, D. K., Hodges, J. C. F., Zhang, X. Y., Muchoney, D.,
Strahler, A. H., Woodcock, C. E., Gopal, S., Schneider, A., Cooper, A.,
Baccini, A., Gao, F., and Schaaf, C.: Global land cover mapping from MODIS:
algorithms and early results, Remote Sens. Environ., 83, 1–2,
https://doi.org/10.1016/S0034-4257(02)00078-0, 2002.
Friedl, M. A., Sulla-Menashe, D., Tan, B., Schneider, A., Ramankutty, N.,
Sibley, A., and Huang, X.: MODIS Collection 5 global land cover: Algorithm
refinements and characterization of new datasets, Remote Sens. Environ., 114,
168–182, https://doi.org/10.1016/j.rse.2009.08.016, 2010.
Giglio, L., Descloitres, J., Justice, C. O., and Kaufman, Y. J.: An enhanced
contextual fire detection algorithm for MODIS, Remote Sens. Environ., 87,
2–3, https://doi.org/10.1016/s0034-4257(03)00184-6, 2003.
Giglio, L., Schroeder, W., and Justice, C. O.: The collection 6 MODIS active
fire detection algorithm and fire products, Remote Sens. Environ., 178,
31–41, https://doi.org/10.1016/j.rse.2016.02.054, 2016.
Govender, N., Trollope, W. S. W., and van Wilgen, B. W.: The effect of fire
season, fire frequency, rainfall and management on fire intensity in savanna
vegetation in South Africa, J. Appl. Ecol., 43, 748–758,
https://doi.org/10.1111/j.1365-2664.2006.01184.x, 2006.
Grecchi, R. C., Gwyn, Q. H. J., Bénié, G. B., Formaggio, A. R., and
Fahl, F. C.: Land use and land cover changes in the Brazilian Cerrado: A
multidisciplinary approach to assess the impacts of agricultural expansion,
Appl. Geogr., 55, 300–312, https://doi.org/10.1016/j.apgeog.2014.09.014, 2014.
Hantson, S., Padilla, M., Corti, D., and Chuvieco, E.: Strengths and
weaknesses of MODIS hotspots to characterize global fire occurrence, Remote
Sens. Environ., 131, 152–159, https://doi.org/10.1016/j.rse.2012.12.004, 2013.
IBGE: Brazilian Institute for Geography and Statistics: Brazilian biomes,
available at: http://downloads.ibge.gov.br/downloads_geociencias.htm
(last access: 2 February 2017), 2010.
Ichoku, C., Kahn, R., and Chin, M.: Satellite contributions to the
quantitative characterization of biomass burning for climate modeling, Atmos.
Res., 111, 1–28, https://doi.org/10.1016/j.atmosres.2012.03.007, 2012.
Ichoku, C., Ellison, L. T., Willmot, K. E., Matsui, T., Dezfuli, A. K.,
Gatebe, C. K., Wang, J., Wilcox, E. M., Lee, J., Adegoke, J., Okonkwo, C.,
Bolten, J., Policelli, F. S., and Habib, S.: Biomass burning, land-cover
change, and the hydrological cycle in Northern sub-Saharan Africa, Environ.
Res. Lett., 11, 095005, https://doi.org/10.1088/1748-9326/11/9/095005, 2016.
INPE: National Institute for Space Research: TerraClass Cerrado Project:
Mapping land-use and land-cover in the Cerrado, available at:
http://www.dpi.inpe.br/tccerrado/ (last access: 2 February 2017), 2015.
Jiao, W., Zhang, L., Chang, Q., Fu, D., Cen, Y., and Tong, Q.: Evaluating an
enhanced Vegetation Condition Index (VCI) based on VIUPD for drought
monitoring in the continental United States, Remote Sens., 8, 224,
https://doi.org/10.3390/rs8030224, 2016.
Jolly, W. M., Cochrane, M. A., Freeborn, P. H., Holden, Z. A., Brown, T. J.,
Williamson, G. J., and Bowman, D. M. J. S.: Climate-induced variations in
global wildfire danger from 1979 to 2013, Nat. Commun., 6, 7537,
https://doi.org/10.1038/ncomms8537, 2015.
Justice, C. O., Townshend, J. R. G., Vermote, E. F., Masuoka, E., Wolfe, R.
E., Saleous, N., Roy, D. P., and Morisette, J. T.: An overview of MODIS Land
data processing and product status, Remote Sens. Environ., 83, 1–2,
https://doi.org/10.1016/s0034-4257(02)00084-6, 2002.
Kaiser, J. W., Heil, A., Andreae, M. O., Benedetti, A., Chubarova, N., Jones,
L., Morcrette, J.-J., Razinger, M., Schultz, M. G., Suttie, M., and van der
Werf, G. R.: Biomass burning emissions estimated with a global fire
assimilation system based on observed fire radiative power, Biogeosciences,
9, 527–554, https://doi.org/10.5194/bg-9-527-2012, 2012.
Kayano, M. T. and Andreoli, R. V.: Clima da região Nordeste do Brasil,
in: Tempo e Clima no Brasil, 1, edited by: Cavalcanti, I. F. A., Ferreira, N.
J., Silva, M. G. A. J., and Dias, M. A. F. S., Oficina de Textos, São
Paulo, Brazil, 213–233, 2009.
Klink, C. A. and Machado, R. B.: Conservation of the Brazilian Cerrado,
Conserv. Biol., 19, 707–713, https://doi.org/10.1111/j.1523-1739.2005.00702.x, 2005.
Kogan, F. N.: Droughts of the late 1980s in the United States as derived from
NOAA polar-orbiting satellite data, B. Am. Meteorol. Soc., 76, 655–668,
https://doi.org/10.1175/1520-0477(1995)076<0655:dotlit>2.0.co;2,
1995.
Kummerow, C., Barnes, W., Kozu, T., Shiue, J., and Simpson, J.: The Tropical
Rainfall Measurement Mission (TRMM) Sensor Package, J. Atmos. Ocean. Tech.,
15, 809–817,
https://doi.org/10.1175/1520-0426(1998)015<0809:TTRMMT>2.0.CO;2,
1998.
Kummerow, C., Simpson, J., Thiele, O., Barnes, W., Chang, A. T. C., Stocker,
E., Adler, R. F., Hou, A., Kakar, R., Wentz, F., Ashcroft, P., Kozu, T.,
Hong, Y., Okamoto, K., Iguchi, T., Kuroiwa, H., Im, E., Haddad, Z., Huffman,
G., Ferrier, B., Olson, W. S., Zipser, E., Smith, E. A., Wilheit, T. T.,
North, G., Krishnamurti, T., and Nakamura, K.: The status of the Tropical
Rainfall Measuring Mission (TRMM) after two years in orbit, J. Appl.
Meteorol., 39, 1965–1982,
https://doi.org/10.1175/1520-0450(2001)040<1965:tsottr>2.0.co;2,
2000.
Kusangaya, S. and Sithole, V. B.: Remote sensing-based fire frequency mapping
in a savannah rangeland, S. Afr. J. Geomat., 4, 36–49,
https://doi.org/10.4314/sajg.v4i1.3, 2015.
Leblon, B., Bourgeau-Chavez, L., and San-Miguel-Ayanz, J.: Use of Remote
Sensing in wildfire management, in: Sustainable development – Authoritative
and leading edge content for environmental management, 1, edited by:
Curkovic, S., InTech Press, Rijeka, Croatia, 55–82, 2012.
Libonati, R., DaCamara, C. C., Setzer, A. W., Morelli, F., and Melchiori, A.
E.: An algorithm for burned area detection in the Brazilian Cerrado using
4 µm MODIS Imagery, Remote Sens., 7, 15782–15803,
https://doi.org/10.3390/rs71115782, 2015a.
Libonati, R., DaCamara, C. C., Setzer, A. W., and Morelli, F.:
Spatio-temporal variability of burned area over Brazil for the period
2005–2010 using MODIS data, in: Proceedings of the XVII Brazilian Symposium
on Remote Sensing, 25–29 April 2015, João Pessoa, Brazil, 675–682,
2015b.
Libonati, R., DaCamara, C. C., and Setzer, A. W.: Spatial and temporal
patterns of burned area over Brazilian Cerrado from 2005 to 2015 using remote
sensing, in: Proceedings of the Geosciences Union General Assembly 2016,
25–29 April 2016, Vienna, Austria, 2016.
Maier, S. W., Russell-Smith, J., Edwards, A. C., and Yates, C.: Sensitivity
of the MODIS fire detection algorithm (MOD14) in the savanna region of the
Northern Territory, Australia, ISPRS J. Photogramm. Remote Sens., 76, 11–16,
https://doi.org/10.1016/j.isprsjprs.2012.11.005, 2013.
Marcuzzo, F. F. N., Cardoso, M. R. D., and Faria, T. G.: Chuvas no Cerrado da
região Centro-Oeste do Brasil: análise histórica e tendência
futura, Atel. Geog., 6, 112–130, https://doi.org/10.5216/ag.v6i2.15234, 2012.
MMA: Brazilian Ministry of Environment: PROBIO Project: Conservation and
Sustainable Use of Brazilian Biological Diversity, available at:
http://mapas.mma.gov.br/mapas/aplic/probio/datadownload.htm (last
access: 2 February 2017), 2002.
MODIS Fire Products Algorithm Theoretical Basis Document (ATBD): MODIS Fires
Products, available at:
https://modis.gsfc.nasa.gov/data/atbd/atbd_mod14.pdf (last access:
2 February 2017), 2006.
MODIS Land Cover Product User Guide: User Guide for the MODIS Land Cover Type
Product (MCD12Q1), available at:
https://lpdaac.usgs.gov/sites/default/files/public/modis/docs/MCD12Q1_UserGuide_07302013.pdf
(last access: 14 September 2017), 2013.
MODIS Algorithm Theoretical Basis Document (ATBD): MODIS Vegetation Index
(MOD 13), available at:
http://modis.gsfc.nasa.gov/data/atbd/atbd_mod13.pdf (last access:
2 February 2017), 1999.
Moreira de Araújo, F. and Ferreira, L. G.: Satellite-based automated
burned area detection: A performance assessment of the MODIS MCD45A1 in the
Brazilian savanna, Int. J. Appl. Earth Obs., 36, 94–102,
https://doi.org/10.1016/j.jag.2014.10.009, 2015.
Moreira de Araújo, F., Ferreira, L. G., and Arantes, A. E.: Distribution
patterns of burned areas in the Brazilian biomes: An analysis based on
satellite data for the 2002–2010 period, Remote Sens., 4, 1929–1946,
https://doi.org/10.3390/rs4071929, 2012.
Myers, N., Mittermeier, R. A., Mittermeier, C. G., da Fonseca, G. A. B., and
Kent, J.: Biodiversity hotspots for conservation priorities, Nature, 403,
853–858, https://doi.org/10.1038/35002501, 2000.
Nascimento, D. T. F., Moreira de Araújo, F., and Ferreira, L. G.:
Análise dos padrões de distribuição espacial e temporal dos
focos de calor no bioma Cerrado, Rev. Bras. Cart., 63, 461–475, 2011.
Nogueira, J. M. P., Rambal, S., Barbosa, J. P. R. A. D., and Mouillot, F.:
Spatial pattern of the seasonal drought/burned area relationship across
Brazilian biomes: Sensitivity to drought metrics and global Remote-Sensing
fire products, Climate, 5, 42, https://doi.org/10.3390/cli5020042, 2017.
Pereira, G., Silva, M. E. S., Moraes, E. C., and Cardozo, F. S.:
Avaliação dos dados de precipitação estimados pelo
satélite TRMM para o Brasil, Rev. Bras. Rec. Hidr., 18, 139–148,
https://doi.org/10.21168/rbrh.v18n3.p139-148, 2013.
Pivello, V. R.: The use of fire in the Cerrado and Amazonian rainforests of
Brazil: past and present, Fire Ecol., 7, 24–39,
https://doi.org/10.4996/fireecology.0701024, 2011.
Price, O. F., Russell-Smith, J., and Watt, F.: The influence of prescribed
fire on the extent of wildfire in savanna landscapes of western Arnhem Land,
Australia, Int. J. Wildland Fire, 21, 297–305, https://doi.org/10.1071/wf10079, 2012.
Quiring, S. M. and Ganesh, S.: Evaluating the utility of the Vegetation
Condition Index (VCI) for monitoring meteorological drought in Texas, Agr.
Forest Meteorol., 150, 330–339, https://doi.org/10.1016/j.agrformet.2009.11.015, 2010.
Quiring, S. M. and Papakryiakou, T. N.: An evaluation of agricultural drought
indices for the Canadian prairies, Agr. Forest Meteorol., 118, 1–2,
https://doi.org/10.1016/s0168-1923(03)00072-8, 2003.
Ramos-Neto, M. B. and Pivello, V. R.: Lightning fires in a Brazilian savanna
national park: rethinking management strategies, Environ. Manage., 26,
675–684, https://doi.org/10.1007/s002670010124, 2000.
Randerson, J. T., van der Werf, G. R., Collatz, G. J., Giglio, L., Still, C.
J., Kasibhatla, P., Miller, J. B., White, J. W. C., DeFries, R. S., and
Kasischke, E. S.: Fire emissions from C3 and C4 vegetation and their
influence on interannual variability of atmospheric CO2 and δ13CO2, Global Biogeochem. Cy., 19, GB2019,
https://doi.org/10.1029/2004gb002366, 2005.
Rissi, M. N., Baeza, M. J., Gorfone-Barbosa, E., Zupo, T., and Fidelis, A.:
Does season affect fire behaviour in the Cerrado?, Int. J. Wildland Fire, 26,
427–433, 2017.
Roy, D. P., Jin, Y., Lewis, P. E., and Justice, C. O.: Prototyping a global
algorithm for systematic fire-affected area mapping using MODIS time series
data, Remote Sens. Environ., 97, 137–162, https://doi.org/10.1016/j.rse.2005.04.007,
2005.
Roy, D. P., Boschetti, L., Justice, C. O., and Ju, J.: The collection 5 MODIS
burned area product – Global evaluation by comparison with the MODIS active
fire product, Remote Sens. Environ., 112, 3690–3707,
https://doi.org/10.1016/j.rse.2008.05.013, 2008.
Rudorff, B. F. T., Aguiar, D. A., Silva, W. F., Sugawara, L. M., Adami, M.,
and Moreira, M. A.: Studies on the rapid expansion of sugarcane for ethanol
production in São Paulo state (Brazil) using Landsat data, Remote Sens.,
2, 1057–1076, https://doi.org/10.3390/rs2041057, 2010.
Schucknecht, A., Erasmi, S., Niemeyer, I., and Matschullat, J.: Assessing
vegetation variability and trends in north-eastern Brazil using AVHRR and
MODIS NDVI time series, Eur. J. Remote Sens., 46, 40–59,
https://doi.org/10.5721/EuJRS20134603, 2013.
Shimabukuro, Y. E., Pereira, G., Cardozo, F. S., Stockler, R., Freitas, S.
R., and Coura, S. M. C.: Biomass burning emission estimation in Amazon
tropical forest, in: Earth observation of ecosystem services, 1, edited by:
Alcaraz-Segura, D., Di Bella, C. M., and Straschnoy, J. V., CRC Press, Boca
Raton, USA, 125–148, 2013.
Spera, S. A., Galford, G. L., Coe, M. T., Macedo, M. N., and Mustard, J. F.:
Land-use change affects water recycling in Brazil's last agricultural
frontier, Glob. Change Biol., 22, 3405–3413, https://doi.org/10.1111/gcb.13298, 2016.
Stephenson, C., Handmer, J., and Betts, R.: Estimating the economic, social
and environmental impacts of wildfires in Australia, Environ. Hazards, 12,
93–111, https://doi.org/10.1080/17477891.2012.703490, 2013.
Thenkabail, P. S., Gamage, M. S. D. N., and Smakhtin, V. U.: The use of
Remote Sensing data for drought assessment and monitoring in Southwest Asia,
Int. Wat. Manag. Inst., Research Rep., Colombo, Sri Lanka, 34 pp., 2004.
Vadrevu, K. P., Lasko, K., Giglio, L., and Justice, C.: Analysis of Southeast
Asian pollution episode during June 2013 using satellite remote sensing
datasets, Environ. Pollut., 195, 245–256,
https://doi.org/10.1016/j.envpol.2014.06.017, 2014.
van der Werf, G. R., Randerson, J. T., Giglio, L., Gobron, N., and Dolman, A.
J.: Climate controls on the variability of fires in the tropics and
subtropics, Global Biogeochem. Cy., 22, GB3028, https://doi.org/10.1029/2007gb003122,
2008.
Verbesselt, J., Hyndman, R., Newnham, G., and Culvenor, D.: Detecting trend
and seasonal changes in satellite image time series, Remote Sens. Environ.,
114, 106–115, https://doi.org/10.1016/j.rse.2009.08.014, 2010.
Wooster, M. J., Roberts, G., Perry, G. L. W., and Kaufman, Y. J.: Retrieval
of biomass combustion rates and totals from fire radiative power
observations: calibration relationships between biomass consumption and fire
radiative energy release, J. Geophys. Res.-Atmos., 110, D24311,
https://doi.org/10.1029/2005JD006318, 2005.
Yates, C. P., Edwards, A. C., and Russell-Smith, J.: Big fires and their
ecological impacts in Australian savannas: size and frequency matters, Int.
J. Wildland Fire, 17, 768–781, https://doi.org/10.1071/wf07150, 2008.
Short summary
Orbital remote sensing showed that the Cerrado was the second/first biome for the occurrence of hotspots and burned area (BA), which were higher in the dry season and in the savanna land use and are tending to decrease. Spatial analysis showed that values for the entire biome can hide patterns and that there is a 2- to 3-month lag between precipitation and hotspots/BA, while minimum VCI and maximum hotspots/BA occur in the same month. VCI indicates the susceptibility of vegetation to ignition.
Orbital remote sensing showed that the Cerrado was the second/first biome for the occurrence of...
Altmetrics
Final-revised paper
Preprint