87 citations as recorded by crossref.

1. Detection and mapping of burnt areas from time series of MODIS-derived NDVI data in a Mediterranean region M. García et al. 10.2478/s13533-012-0167-y
2. The process of vegetation recovery and burn probability changes in post-burn boreal forests in northeast China X. Zong & X. Tian 10.1071/WF22033
3. Evaluating the Combined Use of the NDVI and High-Density Lidar Data to Assess the Natural Regeneration of P. pinaster after a High-Severity Fire in NW Spain C. Míguez & C. Fernández 10.3390/rs15061634
4. Biogeographic variability in wildfire severity and post-fire vegetation recovery across the European forests via remote sensing-derived spectral metrics A. Nolè et al. 10.1016/j.scitotenv.2022.153807
5. Comparison of vegetation regeneration after wildfire between Mediterranean and tundra ecosystems by using Landsat images C. Au Yeung & R. Li 10.1080/19475683.2018.1424740
6. Hyperspectral remote sensing of fire: State-of-the-art and future perspectives S. Veraverbeke et al. 10.1016/j.rse.2018.06.020
7. Effectiveness of mulching after mechanised construction of firebreaks on the hydrological and erosive response of soil in a Mediterranean forest affected by a severe wildfire A. Amiri Ghanat Saman et al. 10.1016/j.jenvman.2025.125286
8. Identifying Post-Fire Recovery Trajectories and Driving Factors Using Landsat Time Series in Fire-Prone Mediterranean Pine Forests A. Viana-Soto et al. 10.3390/rs12091499
9. Linking wildfire effects on soil and water chemistry of the Marão River watershed, Portugal, and biomass changes detected from Landsat imagery M. Costa et al. 10.1016/j.apgeochem.2013.09.009
10. Comparing the impacts of wildfire and meteorological variability on hydrological and erosion responses in a Mediterranean catchment J. Wu et al. 10.1002/ldr.3732
11. Modelling wildfire activity in Iberia with different atmospheric circulation weather types R. Trigo et al. 10.1002/joc.3749
12. Effectiveness of Sentinel-2 in Multi-Temporal Post-Fire Monitoring When Compared with UAV Imagery L. Pádua et al. 10.3390/ijgi9040225
13. Investigation of factors that affect post-fire recovery of photosynthetic activity at global scale Y. Shen et al. 10.1016/j.ecolind.2025.113206
14. Remote-Sensing Monitoring of Postfire Vegetation Dynamics in the Greater Hinggan Mountain Range Based on Long Time-Series Data: Analysis of the Effects of Six Topographic and Climatic Factors X. Chen et al. 10.3390/rs14132958
15. Evaluation of Spatiotemporal Resilience and Resistance of Global Vegetation Responses to Climate Change N. Sun et al. 10.3390/rs14174332
16. Evaluating Drought Impact on Postfire Recovery of Chaparral Across Southern California E. Storey et al. 10.1007/s10021-020-00551-2
17. Machine learning-based predictions of soil burn severity using spectral and LiDAR remote sensing data A. Novo et al. 10.1016/j.foreco.2025.123094
18. Wildfires as a major driver of landscape dynamics in three fire-prone areas of Portugal J. Silva et al. 10.1016/j.landurbplan.2011.03.001
19. Avaliação da regeneração da vegetação pós-incêndio no Parque Nacional da Chapada Diamantina do Brasil através de sensoriamento remoto S. Moura Batista dos Santos et al. 10.21814/physisterrae.4482
20. Modelling Weather and Climate Related Fire Risk in Africa F. Justino et al. 10.4236/ajcc.2013.24022
21. MODIS-informed greenness responses to daytime land surface temperature fluctuations and wildfire disturbances in the Alaskan Yukon River Basin Z. Tan et al. 10.1080/01431161.2012.742215
22. Exploring the Potential of Lidar and Sentinel-2 Data to Model the Post-Fire Structural Characteristics of Gorse Shrublands in NW Spain J. Fernández-Alonso et al. 10.3390/rs14236063
23. Flammable biomes dominated by eucalypts originated at the Cretaceous–Palaeogene boundary M. Crisp et al. 10.1038/ncomms1191
24. Application of Remote Sensing Technology in Wildfire Research: Bibliometric Perspective X. Li et al. 10.1007/s10694-023-01531-3
25. Quantifying spatial and temporal vegetation recovery dynamics following a wildfire event in a Mediterranean landscape using EO data and GIS G. Petropoulos et al. 10.1016/j.apgeog.2014.02.006
26. Medium-term associations of soil properties and plant diversity in a semi-arid pine forest after post-wildfire management M. Elena Gómez-Sánchez et al. 10.1016/j.foreco.2023.121163
27. Mapping post-fire forest regeneration and vegetation recovery using a combination of very high spatial resolution and hyperspectral satellite imagery G. Mitri & I. Gitas 10.1016/j.jag.2011.09.001
28. Modeling Post-Fire Vegetation Recovery using Satellite and Environmental Data in Zagros Forest Ecosystem, Ilam S. Karimi et al. 10.61186/ifej.11.21.75
29. Global assessment and mapping of ecological vulnerability to wildfires F. Arrogante-Funes et al. 10.5194/nhess-22-2981-2022
30. A Framework for Multi-Dimensional Assessment of Wildfire Disturbance Severity from Remotely Sensed Ecosystem Functioning Attributes B. Marcos et al. 10.3390/rs13040780
31. Post-Fire Recovery of Eucalypt-Dominated Vegetation Communities in the Sydney Basin, Australia J. Heath et al. 10.4996/fireecology.1203053
32. Combining aerial LiDAR and multispectral imagery to assess postfire regeneration types in a Mediterranean forest S. Martín-Alcón et al. 10.1139/cjfr-2014-0430
33. Fire and soils: Key concepts and recent advances A. Bento-Gonçalves et al. 10.1016/j.geoderma.2012.01.004
34. Dating lava flows of tropical volcanoes by means of spatial modeling of vegetation recovery L. Li et al. 10.1002/esp.4284
35. Spatial distribution of pyrogenic carbon in Iberian topsoils estimated by chemometric analysis of infrared spectra M. Jiménez-González et al. 10.1016/j.scitotenv.2021.148170
36. Phenology Patterns Indicate Recovery Trajectories of Ponderosa Pine Forests After High-Severity Fires J. Walker & C. Soulard 10.3390/rs11232782
37. Resilience of forests to past fire disturbance in the Changbai Mountains, Northeastern China Y. Qian et al. 10.1016/j.gloplacha.2025.105080
38. The outstanding synergy between drought, heatwaves and fuel on the 2007 Southern Greece exceptional fire season C. Gouveia et al. 10.1016/j.agrformet.2015.11.023
39. A remote sensing assessment of oak forest recovery after postfire restoration L. Lopes et al. 10.1007/s10342-024-01667-z
40. Examining post-fire vegetation recovery with Landsat time series analysis in three western North American forest types B. Bright et al. 10.1186/s42408-018-0021-9
41. Global MODIS Fraction of Green Vegetation Cover for Monitoring Abrupt and Gradual Vegetation Changes F. Filipponi et al. 10.3390/rs10040653
42. Statistical challenges in spatial analysis of plant ecology data A. Gelfand 10.1016/j.spasta.2020.100418
43. Recovery of Forest Vegetation in a Burnt Area in the Republic of Korea: A Perspective Based on Sentinel-2 Data Y. Kim et al. 10.3390/app11062570
44. The Signature of Climate in Annual Burned Area in Portugal C. DaCamara 10.3390/cli12090143
45. Research on Wildfires, Soil Erosion and Land Degradation in the XXI Century A. Bento-Gonçalves et al. 10.3390/fire7090327
46. Post-Fire Vegetation Recovery in Elwasita Area of Al-Jabal Al-Akhdar-Libya - Based on Remote Sensing Information M. Masoud 10.54172/mjsc.v36i4.588
47. Exploring the relationships between post-fire vegetation regeneration dynamics, topography and burn severity: A case study from the Montane Cordillera Ecozones of Western Canada G. Ireland & G. Petropoulos 10.1016/j.apgeog.2014.11.016
48. A Review of the Applications of Remote Sensing in Fire Ecology D. Szpakowski & J. Jensen 10.3390/rs11222638
49. Long-Term Satellite Detection of Post-Fire Vegetation Trends in Boreal Forests of China K. Yi et al. 10.3390/rs5126938
50. Post-fire resilience in the Alpine region estimated from MODIS satellite multispectral data B. Di Mauro et al. 10.1016/j.jag.2014.04.010
51. Burned vegetation recovery trajectory and its driving factors using satellite remote-sensing datasets in the Great Xing’An forest region of Inner Mongolia Q. Zhang et al. 10.1071/WF21167
52. Relationship Between Post-Fire Vegetation Recovery and Soil Temperature in the Mediterranean Forest G. Calderisi et al. 10.3390/fire8030091
53. Resilience to Forest Fires: An Indicator-Based Study in a Tropical Forest of Uttarakhand, India M. Aryalakshmi et al. 10.1109/LGRS.2025.3531961
54. Short-term temporal and spatial analysis for post-fire vegetation regrowth characterization and mapping in a Mediterranean ecosystem using optical and SAR image time-series G. De Luca et al. 10.1080/10106049.2022.2097482
55. Assessing tree crown fire damage integrating linear spectral mixture analysis and supervised machine learning on Sentinel-2 imagery G. De Luca et al. 10.1080/17538947.2023.2243900
56. Automated Extraction of Forest Burn Severity Based on Light and Small UAV Visible Remote Sensing Images J. Ye et al. 10.3390/f13101665
57. Recovery Following Recurrent Fires Across Mediterranean Ecosystems T. Ermitão et al. 10.1111/gcb.70013
58. Post-wildfire hydrologic recovery in Mediterranean climates: A systematic review and case study to identify current knowledge and opportunities J. Wagenbrenner et al. 10.1016/j.jhydrol.2021.126772
59. Improved simulation of fire–vegetation interactions in the Land surface Processes and eXchanges dynamic global vegetation model (LPX-Mv1) D. Kelley et al. 10.5194/gmd-7-2411-2014
60. One-year effects of stand age, pre-fire treatments, and hillslope aspect on recovery of plant diversity and soil properties in a Mediterranean forest burnt by a severe wildfire D. Vilaplana et al. 10.1016/j.foreco.2024.122068
61. Drought impacts on vegetation activity in the Mediterranean region: An assessment using remote sensing data and multi-scale drought indicators C. Gouveia et al. 10.1016/j.gloplacha.2016.06.011
62. An empirical assessment of the potential of post-fire recovery of tree-forest communities in Mediterranean environments M. Rodrigues et al. 10.1016/j.foreco.2023.121587
63. Opportunities and challenges of Eucalyptus plantations in Europe: the Iberian Peninsula experience M. Tomé et al. 10.1007/s10342-021-01358-z
64. Fisher–Shannon information plane analysis of SPOT/VEGETATION Normalized Difference Vegetation Index (NDVI) time series to characterize vegetation recovery after fire disturbance A. Lanorte et al. 10.1016/j.jag.2013.05.008
65. Remote Sensing, natural hazards and the contribution of ESA Sentinels missions D. Poursanidis & N. Chrysoulakis 10.1016/j.rsase.2017.02.001
66. Ash fall impact on vegetation: a remote sensing approach of the Oldoinyo Lengai 2007–08 eruption A. De Schutter et al. 10.1186/s13617-015-0032-z
67. Using NDVI time series to diagnose vegetation recovery after major earthquake based on dynamic time warping and lower bound distance X. Zhang et al. 10.1016/j.ecolind.2018.06.026
68. Variations and controlling factors of vegetation dynamics on the Qingzang Plateau of China over the recent 20 years X. Zhang et al. 10.1016/j.geosus.2021.02.001
69. Modelling post-fire vegetation recovery in Portugal A. Bastos et al. 10.5194/bg-8-3593-2011
70. Trends in evapotranspiration and streamflow following wildfire in resprouting eucalypt forests R. Nolan et al. 10.1016/j.jhydrol.2015.02.045
71. Drought impacts on vegetation in the pre- and post-fire events over Iberian Peninsula C. Gouveia et al. 10.5194/nhess-12-3123-2012
72. Exploring the Relationship between Burn Severity Field Data and Very High Resolution GeoEye Images: The Case of the 2011 Evros Wildfire in Greece E. Dragozi et al. 10.3390/rs8070566
73. Off-peak NDVI correction to reconstruct Landsat time series for post-fire recovery in high-latitude forests C. Wang et al. 10.1016/j.jag.2022.102704
74. Indicator-based assessment of post-fire recovery dynamics using satellite NDVI time-series T. João et al. 10.1016/j.ecolind.2018.02.008
75. Spatio-temporal Vegetation Recuperation after a Grassland Fire in Lithuania P. Pereira et al. 10.1016/j.proenv.2013.06.095
76. Understanding and modelling wildfire regimes: an ecological perspective S. Harrison et al. 10.1088/1748-9326/ac39be
77. Evaluating methods to map burned area at 30-meter resolution in forests and agricultural areas of Central India A. Chandel et al. 10.3389/ffgc.2022.933807
78. Benchmarking Sentinel-2-derived predictors for long-term burn severity modelling: the 2016–17 Chilean firestorm M. Peña & A. Brenning 10.1080/01431161.2023.2205981
79. Post-fire regeneration dynamics of heterogeneous Mediterranean ecosystems using Landsat and ALS data E. Velasco Pereira & R. Navarro-Cerrillo 10.1016/j.scitotenv.2025.180435
80. Space-time modeling for post-fire vegetation recovery L. Paci et al. 10.1007/s00477-015-1182-6
81. Assessment of forest recovery at Wu-Ling fire scars in Taiwan using multi-temporal Landsat imagery C. Chompuchan & C. Lin 10.1016/j.ecolind.2017.04.038
82. Climatic controls on ecosystem resilience: Postfire regeneration in the Cape Floristic Region of South Africa A. Wilson et al. 10.1073/pnas.1416710112
83. Satellite measurement of forest disturbance, recovery and deposit distribution following explosive volcanic eruptions M. Udy et al. 10.1016/j.jvolgeores.2024.108204
84. Recognizing Women Leaders in Fire Science: Revisited A. Smith & E. Strand 10.3390/fire1030045
85. Changes in the streambank landscape and vegetation recovery on a stone revetment using the image spectrum: Case study of the Nan-Shi-Ken stream, Taiwan J. Chen & L. Ho 10.1016/j.ecoleng.2013.10.012
86. Economic Assessment of Fire Damage to Urban Forest in the Wildland–Urban Interface Using Planet Satellites Constellation Images Y. Michael et al. 10.3390/rs10091479
87. Assessing the resilience of ecosystem functioning to wildfires using satellite-derived metrics of post-fire trajectories B. Marcos et al. 10.1016/j.rse.2022.113441