Articles | Volume 22, issue 1
Nat. Hazards Earth Syst. Sci., 22, 227–244, 2022
https://doi.org/10.5194/nhess-22-227-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue: Remote sensing and Earth observation data in natural hazard...
Nat. Hazards Earth Syst. Sci., 22, 227–244, 2022
https://doi.org/10.5194/nhess-22-227-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article 31 Jan 2022
Research article | 31 Jan 2022
Index establishment and capability evaluation of space–air–ground remote sensing cooperation in geohazard emergency response
Yahong Liu and Jin Zhang
Related authors
No articles found.
Jin Zhang
Abstr. Int. Cartogr. Assoc., 1, 430, https://doi.org/10.5194/ica-abs-1-430-2019, https://doi.org/10.5194/ica-abs-1-430-2019, 2019
Related subject area
Databases, GIS, Remote Sensing, Early Warning Systems and Monitoring Technologies
Brief communication: Monitoring a soft-rock coastal cliff using webcams and strain sensors
Multiscale analysis of surface roughness for the improvement of natural hazard modelling
EUNADICS-AV early warning system dedicated to supporting aviation in the case of a crisis from natural airborne hazards and radionuclide clouds
Are sirens effective tools to alert the population in France?
UAV survey method to monitor and analyze geological hazards: the case study of the mud volcano of Villaggio Santa Barbara, Caltanissetta (Sicily)
ProbFire: a probabilistic fire early warning system for Indonesia
Timely prediction potential of landslide early warning systems with multispectral remote sensing: a conceptual approach tested in the Sattelkar, Austria
CHILDA – Czech Historical Landslide Database
Review article: Detection of actionable tweets in crisis events
Long-term magnetic anomalies and their possible relationship to the latest greater Chilean earthquakes in the context of the seismo-electromagnetic theory
HazMapper: a global open-source natural hazard mapping application in Google Earth Engine
Opportunities and risks of disaster data from social media: a systematic review of incident information
Online urban-waterlogging monitoring based on a recurrent neural network for classification of microblogging text
Predicting power outages caused by extratropical storms
Near-real-time automated classification of seismic signals of slope failures with continuous random forests
Assessing the accuracy of remotely sensed fire datasets across the southwestern Mediterranean Basin
Responses to severe weather warnings and affective decision-making
The object-specific flood damage database HOWAS 21
A spaceborne SAR-based procedure to support the detection of landslides
GIS-based DRASTIC and composite DRASTIC indices for assessing groundwater vulnerability in the Baghin aquifer, Kerman, Iran
Review article: The spatial dimension in the assessment of urban socio-economic vulnerability related to geohazards
Design and implementation of a mobile device app for network-based earthquake early warning systems (EEWSs): application to the PRESTo EEWS in southern Italy
CCAF-DB: the Caribbean and Central American active fault database
Evaluation of a combined drought indicator and its potential for agricultural drought prediction in southern Spain
Study on real-time correction of site amplification factor
Three-dimensional rockfall shape back analysis: methods and implications
Effects of high-resolution geostationary satellite imagery on the predictability of tropical thunderstorms over Southeast Asia
InSAR technique applied to the monitoring of the Qinghai–Tibet Railway
Understanding the spatiotemporal development of human settlement in hurricane-prone areas on the US Atlantic and Gulf coasts using nighttime remote sensing
Pre-disaster mapping with drones: an urban case study in Victoria, British Columbia, Canada
New approaches to modelling of local seismic amplification susceptibility using direct characteristics of influencing criteria: case study of Bam City, Iran
SMC-Flood database: a high-resolution press database on flood cases for the Spanish Mediterranean coast (1960–2015)
Statistical analysis for satellite-index-based insurance to define damaged pasture thresholds
Monitoring the seasonal dynamics of soil salinization in the Yellow River delta of China using Landsat data
Towards early warning of gravitational slope failure with co-detection of microseismic activity: the case of an active rock glacier
Dangerous degree forecast of soil loss on highway slopes in mountainous areas of the Yunnan–Guizhou Plateau (China) using the Revised Universal Soil Loss Equation
Assessment of geodetic velocities using GPS campaign measurements over long baseline lengths
Response time to flood events using a social vulnerability index (ReTSVI)
Delimitation of flood areas based on a calibrated a DEM and geoprocessing: case study on the Uruguay River, Itaqui, southern Brazil
Identification and classification of urban micro-vulnerabilities in tsunami evacuation routes for the city of Iquique, Chile
Usability of aerial video footage for 3-D scene reconstruction and structural damage assessment
Using kites for 3-D mapping of gullies at decimetre-resolution over several square kilometres: a case study on the Kamech catchment, Tunisia
A new approach for land degradation and desertification assessment using geospatial techniques
Active tectonics of the onshore Hengchun Fault using UAS DSM combined with ALOS PS-InSAR time series (Southern Taiwan)
Geomorphological evolution of landslides near an active normal fault in northern Taiwan, as revealed by lidar and unmanned aircraft system data
Slope stability and rockfall assessment of volcanic tuffs using RPAS with 2-D FEM slope modelling
Use of a remotely piloted aircraft system for hazard assessment in a rocky mining area (Lucca, Italy)
A method for using unmanned aerial vehicles for emergency investigation of single geo-hazards and sample applications of this method
Brief communication: Vehicle routing problem and UAV application in the post-earthquake scenario
Multiple remote-sensing assessment of the catastrophic collapse in Langtang Valley induced by the 2015 Gorkha earthquake
Diego Guenzi, Danilo Godone, Paolo Allasia, Nunzio Luciano Fazio, Michele Perrotti, and Piernicola Lollino
Nat. Hazards Earth Syst. Sci., 22, 207–212, https://doi.org/10.5194/nhess-22-207-2022, https://doi.org/10.5194/nhess-22-207-2022, 2022
Short summary
Short summary
In the Apulia region (southeastern Italy) we are monitoring a soft-rock coastal cliff using webcams and strain sensors. In this urban and touristic area, coastal recession is extremely rapid and rockfalls are very frequent. In our work we are using low-cost and open-source hardware and software, trying to correlate both meteorological information with measures obtained from crack meters and webcams, aiming to recognize potential precursor signals that could be triggered by instability phenomena.
Natalie Brožová, Tommaso Baggio, Vincenzo D'Agostino, Yves Bühler, and Peter Bebi
Nat. Hazards Earth Syst. Sci., 21, 3539–3562, https://doi.org/10.5194/nhess-21-3539-2021, https://doi.org/10.5194/nhess-21-3539-2021, 2021
Short summary
Short summary
Surface roughness plays a great role in natural hazard processes but is not always well implemented in natural hazard modelling. The results of our study show how surface roughness can be useful in representing vegetation and ground structures, which are currently underrated. By including surface roughness in natural hazard modelling, we could better illustrate the processes and thus improve hazard mapping, which is crucial for infrastructure and settlement planning in mountainous areas.
Hugues Brenot, Nicolas Theys, Lieven Clarisse, Jeroen van Gent, Daniel R. Hurtmans, Sophie Vandenbussche, Nikolaos Papagiannopoulos, Lucia Mona, Timo Virtanen, Andreas Uppstu, Mikhail Sofiev, Luca Bugliaro, Margarita Vázquez-Navarro, Pascal Hedelt, Michelle Maree Parks, Sara Barsotti, Mauro Coltelli, William Moreland, Simona Scollo, Giuseppe Salerno, Delia Arnold-Arias, Marcus Hirtl, Tuomas Peltonen, Juhani Lahtinen, Klaus Sievers, Florian Lipok, Rolf Rüfenacht, Alexander Haefele, Maxime Hervo, Saskia Wagenaar, Wim Som de Cerff, Jos de Laat, Arnoud Apituley, Piet Stammes, Quentin Laffineur, Andy Delcloo, Robertson Lennart, Carl-Herbert Rokitansky, Arturo Vargas, Markus Kerschbaum, Christian Resch, Raimund Zopp, Matthieu Plu, Vincent-Henri Peuch, Michel Van Roozendael, and Gerhard Wotawa
Nat. Hazards Earth Syst. Sci., 21, 3367–3405, https://doi.org/10.5194/nhess-21-3367-2021, https://doi.org/10.5194/nhess-21-3367-2021, 2021
Short summary
Short summary
The purpose of the EUNADICS-AV (European Natural Airborne Disaster Information and Coordination System for Aviation) prototype early warning system (EWS) is to develop the combined use of harmonised data products from satellite, ground-based and in situ instruments to produce alerts of airborne hazards (volcanic, dust, smoke and radionuclide clouds), satisfying the requirement of aviation air traffic management (ATM) stakeholders (https://cordis.europa.eu/project/id/723986).
Johnny Douvinet, Anna Serra-Llobet, Esteban Bopp, and G. Mathias Kondolf
Nat. Hazards Earth Syst. Sci., 21, 2899–2920, https://doi.org/10.5194/nhess-21-2899-2021, https://doi.org/10.5194/nhess-21-2899-2021, 2021
Short summary
Short summary
This study proposes to combine results of research regarding the spatial inequalities due to the siren coverage, the political dilemma of siren activation, and the social problem of siren awareness and trust for people in France. Surveys were conducted using a range of complementary methods (GIS analysis, statistical analysis, questionnaires, interviews) through different scales. Results show that siren coverage in France is often determined by population density but not risks or disasters.
Fabio Brighenti, Francesco Carnemolla, Danilo Messina, and Giorgio De Guidi
Nat. Hazards Earth Syst. Sci., 21, 2881–2898, https://doi.org/10.5194/nhess-21-2881-2021, https://doi.org/10.5194/nhess-21-2881-2021, 2021
Short summary
Short summary
In this paper we propose a methodology to mitigate hazard in a natural environment in an urbanized context. The deformation of the ground is a precursor of paroxysms in mud volcanoes. Therefore, through the analysis of the deformation supported by a statistical approach, this methodology was tested to reduce the hazard around the mud volcano. In the future, the goal is that this dangerous area will become both a naturalistic heritage and a source of development for the community of the area.
Tadas Nikonovas, Allan C. Spessa, Stefan H. Doerr, Gareth D. Clay, and Symon Mezbahuddin
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-245, https://doi.org/10.5194/nhess-2021-245, 2021
Revised manuscript accepted for NHESS
Short summary
Short summary
Extreme fire episodes in Indonesia emit large amounts of green house gasses and have negative effects on human health in the region. In this study we show that such burning events can be predicted several month in advance in large parts of Indonesia using existing seasonal climate forecasts and forest cover change datasets. A reliable early fire warning system would enable local agencies to prepare and mitigate the worst of the effects.
Doris Hermle, Markus Keuschnig, Ingo Hartmeyer, Robert Delleske, and Michael Krautblatter
Nat. Hazards Earth Syst. Sci., 21, 2753–2772, https://doi.org/10.5194/nhess-21-2753-2021, https://doi.org/10.5194/nhess-21-2753-2021, 2021
Short summary
Short summary
Multispectral remote sensing imagery enables landslide detection and monitoring, but its applicability to time-critical early warning is rarely studied. We present a concept to operationalise its use for landslide early warning, aiming to extend lead time. We tested PlanetScope and unmanned aerial system images on a complex mass movement and compared processing times to historic benchmarks. Acquired data are within the forecasting window, indicating the feasibility for landslide early warning.
Michal Bíl, Pavel Raška, Lukáš Dolák, and Jan Kubeček
Nat. Hazards Earth Syst. Sci., 21, 2581–2596, https://doi.org/10.5194/nhess-21-2581-2021, https://doi.org/10.5194/nhess-21-2581-2021, 2021
Short summary
Short summary
The online landslide database CHILDA (Czech Historical Landslide Database) summarises information about landslides which occurred in the area of Czechia (the Czech Republic). The database is freely accessible via the https://childa.cz/ website. It includes 699 records (spanning the period of 1132–1989). Overall, 55 % of all recorded landslide events occurred only within 15 years of the extreme landslide incidence.
Anna Kruspe, Jens Kersten, and Friederike Klan
Nat. Hazards Earth Syst. Sci., 21, 1825–1845, https://doi.org/10.5194/nhess-21-1825-2021, https://doi.org/10.5194/nhess-21-1825-2021, 2021
Short summary
Short summary
Messages on social media can be an important source of information during crisis situations. This article reviews approaches for the reliable detection of informative messages in a flood of data. We demonstrate the varying goals of these approaches and present existing data sets. We then compare approaches based (1) on keyword and location filtering, (2) on crowdsourcing, and (3) on machine learning. We also point out challenges and suggest future research.
Enrique Guillermo Cordaro, Patricio Venegas-Aravena, and David Laroze
Nat. Hazards Earth Syst. Sci., 21, 1785–1806, https://doi.org/10.5194/nhess-21-1785-2021, https://doi.org/10.5194/nhess-21-1785-2021, 2021
Short summary
Short summary
We developed a methodology that generates free externally disturbed magnetic variations in ground magnetometers close to the Chilean convergent margin. Spectral analysis (~ mHz) and magnetic anomalies increased prior to large Chilean earthquakes (Maule 2010, Mw 8.8; Iquique 2014, Mw 8.2; Illapel 2015, Mw 8.3). These findings relate to microcracks within the lithosphere due to stress state changes. This physical evidence should be thought of as a last stage of the earthquake preparation process.
Corey M. Scheip and Karl W. Wegmann
Nat. Hazards Earth Syst. Sci., 21, 1495–1511, https://doi.org/10.5194/nhess-21-1495-2021, https://doi.org/10.5194/nhess-21-1495-2021, 2021
Short summary
Short summary
For many decades, natural disasters have been monitored by trained analysts using multiple satellite images to observe landscape change. This approach is incredibly useful, but our new tool, HazMapper, offers researchers and the scientifically curious public a web-accessible
cloud-based tool to perform similar analysis. We intend for the tool to both be used in scientific research and provide rapid response to global natural disasters like landslides, wildfires, and volcanic eruptions.
Matti Wiegmann, Jens Kersten, Hansi Senaratne, Martin Potthast, Friederike Klan, and Benno Stein
Nat. Hazards Earth Syst. Sci., 21, 1431–1444, https://doi.org/10.5194/nhess-21-1431-2021, https://doi.org/10.5194/nhess-21-1431-2021, 2021
Short summary
Short summary
In this paper, we study when social media is an adequate source to find metadata about incidents that cannot be acquired by traditional means. We identify six major use cases: impact assessment and verification of model predictions, narrative generation, recruiting citizen volunteers, supporting weakly institutionalized areas, narrowing surveillance areas, and reporting triggers for periodical surveillance.
Hui Liu, Ya Hao, Wenhao Zhang, Hanyue Zhang, Fei Gao, and Jinping Tong
Nat. Hazards Earth Syst. Sci., 21, 1179–1194, https://doi.org/10.5194/nhess-21-1179-2021, https://doi.org/10.5194/nhess-21-1179-2021, 2021
Short summary
Short summary
We trained a recurrent neural network model to classify microblogging posts related to urban waterlogging and establish an online monitoring system of urban waterlogging caused by flood disasters. We manually curated more than 4400 waterlogging posts to train the RNN model so that it can precisely identify waterlogging-related posts of Sina Weibo to timely determine urban waterlogging.
Roope Tervo, Ilona Láng, Alexander Jung, and Antti Mäkelä
Nat. Hazards Earth Syst. Sci., 21, 607–627, https://doi.org/10.5194/nhess-21-607-2021, https://doi.org/10.5194/nhess-21-607-2021, 2021
Short summary
Short summary
Predicting the number of power outages caused by extratropical storms is a key challenge for power grid operators. We introduce a novel method to predict the storm severity for the power grid employing ERA5 reanalysis data combined with a forest inventory. The storms are first identified from the data and then classified using several machine-learning methods. While there is plenty of room to improve, the results are already usable, with support vector classifier providing the best performance.
Michaela Wenner, Clément Hibert, Alec van Herwijnen, Lorenz Meier, and Fabian Walter
Nat. Hazards Earth Syst. Sci., 21, 339–361, https://doi.org/10.5194/nhess-21-339-2021, https://doi.org/10.5194/nhess-21-339-2021, 2021
Short summary
Short summary
Mass movements constitute a risk to property and human life. In this study we use machine learning to automatically detect and classify slope failure events using ground vibrations. We explore the influence of non-ideal though commonly encountered conditions: poor network coverage, small number of events, and low signal-to-noise ratios. Our approach enables us to detect the occurrence of rare events of high interest in a large data set of more than a million windowed seismic signals.
Luiz Felipe Galizia, Thomas Curt, Renaud Barbero, and Marcos Rodrigues
Nat. Hazards Earth Syst. Sci., 21, 73–86, https://doi.org/10.5194/nhess-21-73-2021, https://doi.org/10.5194/nhess-21-73-2021, 2021
Short summary
Short summary
This paper aims to provide a quantitative evaluation of three remotely sensed fire datasets which have recently emerged as an important resource to improve our understanding of fire regimes. Our findings suggest that remotely sensed fire datasets can be used to proxy variations in fire activity on monthly and annual timescales; however, caution is advised when drawing information from smaller fires (< 100 ha) across the Mediterranean region.
Philippe Weyrich, Anna Scolobig, Florian Walther, and Anthony Patt
Nat. Hazards Earth Syst. Sci., 20, 2811–2821, https://doi.org/10.5194/nhess-20-2811-2020, https://doi.org/10.5194/nhess-20-2811-2020, 2020
Patric Kellermann, Kai Schröter, Annegret H. Thieken, Sören-Nils Haubrock, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 20, 2503–2519, https://doi.org/10.5194/nhess-20-2503-2020, https://doi.org/10.5194/nhess-20-2503-2020, 2020
Short summary
Short summary
The flood damage database HOWAS 21 contains object-specific flood damage data resulting from fluvial, pluvial and groundwater flooding. The datasets incorporate various variables of flood hazard, exposure, vulnerability and direct tangible damage at properties from several economic sectors. This paper presents HOWAS 21 and highlights exemplary analyses to demonstrate the use of HOWAS 21 flood damage data.
Giuseppe Esposito, Ivan Marchesini, Alessandro Cesare Mondini, Paola Reichenbach, Mauro Rossi, and Simone Sterlacchini
Nat. Hazards Earth Syst. Sci., 20, 2379–2395, https://doi.org/10.5194/nhess-20-2379-2020, https://doi.org/10.5194/nhess-20-2379-2020, 2020
Short summary
Short summary
In this article, we present an automatic processing chain aimed to support the detection of landslides that induce sharp land cover changes. The chain exploits free software and spaceborne SAR data, allowing the systematic monitoring of wide mountainous regions exposed to mass movements. In the test site, we verified a general accordance between the spatial distribution of seismically induced landslides and the detected land cover changes, demonstrating its potential use in emergency management.
Mohammad Malakootian and Majid Nozari
Nat. Hazards Earth Syst. Sci., 20, 2351–2363, https://doi.org/10.5194/nhess-20-2351-2020, https://doi.org/10.5194/nhess-20-2351-2020, 2020
Short summary
Short summary
The present study estimated the Kerman–Baghin aquifer vulnerability using DRASTIC and composite DRASTIC (CDRASTIC) indices with the aid of geographic information system (GIS) techniques. The aquifer vulnerability maps indicated very similar results, identifying the north-west parts of the aquifer as areas with high to very high vulnerability. According to the results, parts of the studied aquifer have a high vulnerability and require protective measures.
Diana Contreras, Alondra Chamorro, and Sean Wilkinson
Nat. Hazards Earth Syst. Sci., 20, 1663–1687, https://doi.org/10.5194/nhess-20-1663-2020, https://doi.org/10.5194/nhess-20-1663-2020, 2020
Short summary
Short summary
The socio-economic condition of the population determines their vulnerability to earthquakes, tsunamis, volcanic eruptions, landslides, soil erosion and land degradation. This condition is estimated mainly from population censuses. The lack to access to basic services, proximity to hazard zones, poverty and population density highly influence the vulnerability of communities. Mapping the location of this vulnerable population makes it possible to prevent and mitigate their risk.
Simona Colombelli, Francesco Carotenuto, Luca Elia, and Aldo Zollo
Nat. Hazards Earth Syst. Sci., 20, 921–931, https://doi.org/10.5194/nhess-20-921-2020, https://doi.org/10.5194/nhess-20-921-2020, 2020
Short summary
Short summary
We developed a mobile app for Android devices which receives the alerts generated by a network-based early warning system, predicts the expected ground-shaking intensity and the available lead time at the user position, and provides customized messages to inform the user about the proper reaction to the alert. The app represents a powerful tool for informing in real time a wide audience of end users and stakeholders about the potential damaging shaking in the occurrence of an earthquake.
Richard Styron, Julio García-Pelaez, and Marco Pagani
Nat. Hazards Earth Syst. Sci., 20, 831–857, https://doi.org/10.5194/nhess-20-831-2020, https://doi.org/10.5194/nhess-20-831-2020, 2020
Short summary
Short summary
The Caribbean and Central American region is both tectonically active and densely populated, leading to a large population that is exposed to earthquake hazards. Until now, no comprehensive fault data covering the region have been available. We present a new public fault database for Central America and the Caribbean that synthesizes published studies with new mapping from remote sensing to provide fault sources for the CCARA seismic hazard and risk analysis project and to aid future research.
María del Pilar Jiménez-Donaire, Ana Tarquis, and Juan Vicente Giráldez
Nat. Hazards Earth Syst. Sci., 20, 21–33, https://doi.org/10.5194/nhess-20-21-2020, https://doi.org/10.5194/nhess-20-21-2020, 2020
Short summary
Short summary
A new combined drought indicator (CDI) is proposed that integrates rainfall, soil moisture and vegetation dynamics. The performance of this indicator was evaluated against crop damage data from agricultural insurance schemes in five different areas in SW Spain. Results show that this indicator was able to predict important droughts in 2004–2005 and 2011–2012, marked by crop damage of between 70 % and 95 % of the total insured area. This opens important applications for improving insurance schemes.
Quancai Xie, Qiang Ma, Jingfa Zhang, and Haiying Yu
Nat. Hazards Earth Syst. Sci., 19, 2827–2839, https://doi.org/10.5194/nhess-19-2827-2019, https://doi.org/10.5194/nhess-19-2827-2019, 2019
Short summary
Short summary
This paper evaluates a new method for modeling the site amplification factor. Through implementing this method and making simulations for different cases, we find that this method shows better performance than the previous method and JMA report. We better understand the advantages and disadvantages of this method, although there are some problems that need to be considered carefully and solved; it shows good potential to be used in future earthquake early warning systems.
David A. Bonneau, D. Jean Hutchinson, Paul-Mark DiFrancesco, Melanie Coombs, and Zac Sala
Nat. Hazards Earth Syst. Sci., 19, 2745–2765, https://doi.org/10.5194/nhess-19-2745-2019, https://doi.org/10.5194/nhess-19-2745-2019, 2019
Short summary
Short summary
In mountainous regions around the world rockfalls pose a hazard to infrastructure and society. To aid in our understanding and management of these complex hazards, an inventory can be compiled. Three-dimensional remote sensing data can be used to locate the source zones of these events and generate models of areas which detached. We address the way in which the shape of a rockfall object can be measured. The shape of a rockfall has implications for forward modelling of potential runout zones.
Kwonmin Lee, Hye-Sil Kim, and Yong-Sang Choi
Nat. Hazards Earth Syst. Sci., 19, 2241–2248, https://doi.org/10.5194/nhess-19-2241-2019, https://doi.org/10.5194/nhess-19-2241-2019, 2019
Short summary
Short summary
This study examined the advances in the predictability of thunderstorms using geostationary satellite imageries. Our present results show that by using the latest geostationary satellite data (with a resolution of 2 km and 10 min), thunderstorms can be predicted 90–180 min ahead of their mature state. These data can capture the rapidly growing cloud tops before the cloud moisture falls as precipitation and enable prompt preparation and the mitigation of hazards.
Qingyun Zhang, Yongsheng Li, Jingfa Zhang, and Yi Luo
Nat. Hazards Earth Syst. Sci., 19, 2229–2240, https://doi.org/10.5194/nhess-19-2229-2019, https://doi.org/10.5194/nhess-19-2229-2019, 2019
Short summary
Short summary
Before the opening of the railway, the deformation of the Qinghai–Tibet Railway was very small and considered stable. After opening, the overall stability of the railway section was good. The main deformation areas are concentrated in the areas where railway lines turn and geological disasters are concentrated. In order to ensure the safety of railway operation, it is necessary to carry out long-term time series observation along the Qinghai–Tibet Railway.
Xiao Huang, Cuizhen Wang, and Junyu Lu
Nat. Hazards Earth Syst. Sci., 19, 2141–2155, https://doi.org/10.5194/nhess-19-2141-2019, https://doi.org/10.5194/nhess-19-2141-2019, 2019
Short summary
Short summary
This study examined the spatiotemporal dynamics of nighttime satellite-derived human settlement in response to different levels of hurricane proneness in a period from 1992 to 2013. It confirms the
Snow Belt-to-Sun BeltUS population shift trend. The results also suggest that hurricane-exposed human settlement has grown in extent and area, as more hurricane exposure has experienced a larger increase rate in settlement intensity.
Maja Kucharczyk and Chris H. Hugenholtz
Nat. Hazards Earth Syst. Sci., 19, 2039–2051, https://doi.org/10.5194/nhess-19-2039-2019, https://doi.org/10.5194/nhess-19-2039-2019, 2019
Short summary
Short summary
We performed pre-disaster 3-D mapping with a drone in downtown Victoria, BC, Canada. This was the first drone mapping mission over a Canadian city approved by Canada’s aviation authority. We were legally constrained to using a specific drone. The goal was to assess the quality of the 3-D map. Results indicate that the spatial accuracies achieved with this drone would allow for sub-meter building collapse detection, but the non-tilting camera was insufficient for mapping buildings in 3-D.
Reza Hassanzadeh, Mehdi Honarmand, Mahdieh Hossienjani Zadeh, and Farzin Naseri
Nat. Hazards Earth Syst. Sci., 19, 1989–2009, https://doi.org/10.5194/nhess-19-1989-2019, https://doi.org/10.5194/nhess-19-1989-2019, 2019
Short summary
Short summary
This paper proposes a new model for evaluating local seismic amplification susceptibility by considering direct characteristics of influencing criteria and dealing with uncertainty of modelling through production of fuzzy membership functions and GIS. This model helps planners and decision makers easily produce local seismic amplification susceptibility to be incorporated in designing development plans of urban areas and to evaluate safety measures of existing infrastructure.
Salvador Gil-Guirado, Alfredo Pérez-Morales, and Francisco Lopez-Martinez
Nat. Hazards Earth Syst. Sci., 19, 1955–1971, https://doi.org/10.5194/nhess-19-1955-2019, https://doi.org/10.5194/nhess-19-1955-2019, 2019
Short summary
Short summary
In this study the SMC-Flood database for the municipalities of the Mediterranean coast of mainland Spain is presented. This database has enabled the reconstruction of 3008 cases of flooding on a municipal scale between 1960 and 2015. The data analysis reveals a growing trend in the frequency and area affected by flood cases. The main novelty lies in the fact that we have detected a clear latitudinal gradient of growing intensity and severity of flood cases with a north–south direction.
Juan José Martín-Sotoca, Antonio Saa-Requejo, Rubén Moratiel, Nicolas Dalezios, Ioannis Faraslis, and Ana María Tarquis
Nat. Hazards Earth Syst. Sci., 19, 1685–1702, https://doi.org/10.5194/nhess-19-1685-2019, https://doi.org/10.5194/nhess-19-1685-2019, 2019
Short summary
Short summary
Vegetation indices based on satellite images, such as the normalized difference vegetation index (NDVI), have been used for damaged pasture insurance. The occurrence of damage is usually defined by NDVI thresholds mainly based on normal statistics. In this work a pasture area in Spain was delimited by MODIS images. A statistical analysis of NDVI was applied to search for alternative distributions. Results show that generalized extreme value distributions present a better fit than normal ones.
Hongyan Chen, Gengxing Zhao, Yuhuan Li, Danyang Wang, and Ying Ma
Nat. Hazards Earth Syst. Sci., 19, 1499–1508, https://doi.org/10.5194/nhess-19-1499-2019, https://doi.org/10.5194/nhess-19-1499-2019, 2019
Short summary
Short summary
Using Landsat data, the inversion model of soil salt content (SSC) for different seasons was determined in the Kenli District in the Yellow River Delta region of China. The SSC exhibited a gradual increasing trend from the southwest to northeast. The SSC accumulated in spring, decreased in summer, increased in autumn and reached its peak at the the end of winter. The results can provide data for the control of soil salt hazards and utilization of saline–alkali soil.
Jérome Faillettaz, Martin Funk, Jan Beutel, and Andreas Vieli
Nat. Hazards Earth Syst. Sci., 19, 1399–1413, https://doi.org/10.5194/nhess-19-1399-2019, https://doi.org/10.5194/nhess-19-1399-2019, 2019
Short summary
Short summary
We developed a new strategy for real-time early warning of
gravity-driven slope failures (such as landslides, rockfalls, glacier break-off, etc.). This method enables us to investigate natural slope stability based on continuous monitoring and interpretation of seismic waves generated by the potential instability. Thanks to a pilot experiment, we detected typical patterns of precursory events prior to slide events, demonstrating the potential of this method for real-word applications.
Yue Li, Shi Qi, Bin Liang, Junming Ma, Baihan Cheng, Cong Ma, Yidan Qiu, and Qinyan Chen
Nat. Hazards Earth Syst. Sci., 19, 757–774, https://doi.org/10.5194/nhess-19-757-2019, https://doi.org/10.5194/nhess-19-757-2019, 2019
Short summary
Short summary
This study fully considers the characteristics of expressways in mountain areas. The catchment area is considered a prediction unit. The method of slope division is improved, and a method of improving the parameters in the model is proposed. Comparison and analysis with actual observation data show that the method of soil and water loss prediction adopted in this paper has less error and higher prediction accuracy than other models and can satisfy prediction requirements.
Huseyin Duman and Dogan Ugur Sanli
Nat. Hazards Earth Syst. Sci., 19, 571–582, https://doi.org/10.5194/nhess-19-571-2019, https://doi.org/10.5194/nhess-19-571-2019, 2019
Short summary
Short summary
Research has been done to assess the performance of relative positioning over long baseline lengths in determining the accuracy of site velocities from GPS campaign measurements. GPS campaign measurements were generated from the IGS data, and the results were compared with PPP-derived findings. A major outcome of this study is that relative positioning over long baseline lengths produces similar accuracies to PPP. A newly proposed refinement method also improves the available PPP accuracy.
Alvaro Hofflinger, Marcelo A. Somos-Valenzuela, and Arturo Vallejos-Romero
Nat. Hazards Earth Syst. Sci., 19, 251–267, https://doi.org/10.5194/nhess-19-251-2019, https://doi.org/10.5194/nhess-19-251-2019, 2019
Short summary
Short summary
In this work, we propose a novel methodology (ReTSVI) to integrate a social vulnerability index into flood hazard methodologies. ReTSVI combines a series of modules that are pieces of information that interact during an evacuation, such as evacuation rate curves, mobilization, inundation models, and social vulnerability indexes, to create an integrated map of the evacuation rate in a given location.
Paulo Victor N. Araújo, Venerando E. Amaro, Robert M. Silva, and Alexandre B. Lopes
Nat. Hazards Earth Syst. Sci., 19, 237–250, https://doi.org/10.5194/nhess-19-237-2019, https://doi.org/10.5194/nhess-19-237-2019, 2019
Short summary
Short summary
This paper aims to map flood hazard areas under the influence of the Uruguay River, Itaqui (southern Brazil), using a calibrated digital elevation model (DEM), historic river level data and geoprocessing techniques. Assessment of the areas that can potentially be flooded can help to reduce the negative impact of flood events by supporting the process of land-use planning in areas exposed to flood hazards.
Gonzalo Álvarez, Marco Quiroz, Jorge León, and Rodrigo Cienfuegos
Nat. Hazards Earth Syst. Sci., 18, 2027–2039, https://doi.org/10.5194/nhess-18-2027-2018, https://doi.org/10.5194/nhess-18-2027-2018, 2018
Short summary
Short summary
Evacuation planning has been recognized as one of the best tools for safeguarding the population against tsunami hazards. In this work we develop a novel methodology to identify and classify urban micro-vulnerabilities that may difficult pedestrian evacuation processes resulting from problems in urban design or informal uses of the public space. The correct identification and correction of these issues could make the difference in saving lives when the available time for evacuation is short.
Johnny Cusicanqui, Norman Kerle, and Francesco Nex
Nat. Hazards Earth Syst. Sci., 18, 1583–1598, https://doi.org/10.5194/nhess-18-1583-2018, https://doi.org/10.5194/nhess-18-1583-2018, 2018
Short summary
Short summary
Aerial multi-perspective images can be used for the effective assessment of post-disaster structural damage. Alternatively, rapidly available video data can be processed for the same purpose. However, video quality characteristics are different than those of images taken with still cameras. The use of video data in post-disaster damage assessment has not been demonstrated. Based on a comparative assessment, our findings support the application of video data in post-disaster damage assessment.
Denis Feurer, Olivier Planchon, Mohamed Amine El Maaoui, Abir Ben Slimane, Mohamed Rached Boussema, Marc Pierrot-Deseilligny, and Damien Raclot
Nat. Hazards Earth Syst. Sci., 18, 1567–1582, https://doi.org/10.5194/nhess-18-1567-2018, https://doi.org/10.5194/nhess-18-1567-2018, 2018
Short summary
Short summary
We present a method for acquiring very-high-resolution images for 3-D mapping of gullies over kilometre-square areas using kites. Kites used in appropriate conditions can be an advantageous alternative to light unmanned aircraft when local regulations or weather conditions hamper their use. We proved that kites can acquire images, allowing for high-quality 3-D coverage of large areas. We automatically detected and mapped gullies from a decimetre kite DEM with 74 % accuracy of the length.
Masoud Masoudi, Parviz Jokar, and Biswajeet Pradhan
Nat. Hazards Earth Syst. Sci., 18, 1133–1140, https://doi.org/10.5194/nhess-18-1133-2018, https://doi.org/10.5194/nhess-18-1133-2018, 2018
Short summary
Short summary
The paper attempts to create a new technique for assessing the current state of land degradation. Assessment of land degradation is difficult, because it includes a complex process. This assessment, using RS and GIS seems to be more realistic in finding the degree of degradation, because it is more related to its impact on land productivity. It is hoped that this attempt, which is the first attempt of its kind in the world, will be found applicable for other regions.
Benoit Deffontaines, Kuo-Jen Chang, Johann Champenois, Kuan-Chuan Lin, Chyi-Tyi Lee, Rou-Fei Chen, Jyr-Ching Hu, and Samuel Magalhaes
Nat. Hazards Earth Syst. Sci., 18, 829–845, https://doi.org/10.5194/nhess-18-829-2018, https://doi.org/10.5194/nhess-18-829-2018, 2018
Short summary
Short summary
To better settle the location and quantify the activity of the Hengchun Fault, we integrate UAS for geomorphologic data acquisitions, photograph and morphotectonic interpretation. Then PS-InSAR results, validated with GPS and leveling data, allow characterizing and quantifying the surface displacements. We confirm the geometry, characterization and quantification of the active sinistral transpressive Hengchun fault. The potential hazards are worthy of further investigation.
Kuo-Jen Chang, Yu-Chang Chan, Rou-Fei Chen, and Yu-Chung Hsieh
Nat. Hazards Earth Syst. Sci., 18, 709–727, https://doi.org/10.5194/nhess-18-709-2018, https://doi.org/10.5194/nhess-18-709-2018, 2018
Short summary
Short summary
Several remote sensing techniques, i.e., aerial photographs, drone images, and airborne lidar, were used in this study to decipher the morphological features of obscure landslides in volcanic regions and how the observed features may be used for understanding landslide occurrence, subsequent geomorphological evolution, and potential hazards. Two large-scale landslides were characterized and quantified in this study.
Ákos Török, Árpád Barsi, Gyula Bögöly, Tamás Lovas, Árpád Somogyi, and Péter Görög
Nat. Hazards Earth Syst. Sci., 18, 583–597, https://doi.org/10.5194/nhess-18-583-2018, https://doi.org/10.5194/nhess-18-583-2018, 2018
Short summary
Short summary
The present study demonstrates the application of drones and terrestrial laser scanner in stability assessment of steep, hardly accessible rock slopes that can endanger human lives. These technologies can be deployed very quickly, but data processing requires time. For reliable hazard evaluation, besides these techniques, engineering geological field work, laboratory tests of the mechanical properties of rocks and computer simulations are also necessary.
Riccardo Salvini, Giovanni Mastrorocco, Giuseppe Esposito, Silvia Di Bartolo, John Coggan, and Claudio Vanneschi
Nat. Hazards Earth Syst. Sci., 18, 287–302, https://doi.org/10.5194/nhess-18-287-2018, https://doi.org/10.5194/nhess-18-287-2018, 2018
Short summary
Short summary
Remotely Piloted Aircraft System was used for the engineering geological investigation of a marble mine area in Italy. High resolution images were processed by using SfM techniques for obtaining an accurate and detailed three-dimensional model of the area. Geological and geometrical information was used for a preliminary stability analysis with focus on investigating the contribution of potential rock bridges of two large blocks that pose a potential hazard issue for the workforce.
Haifeng Huang, Jingjing Long, Wu Yi, Qinglin Yi, Guodong Zhang, and Bangjun Lei
Nat. Hazards Earth Syst. Sci., 17, 1961–1979, https://doi.org/10.5194/nhess-17-1961-2017, https://doi.org/10.5194/nhess-17-1961-2017, 2017
Short summary
Short summary
Unmanned aerial vehicles are widely used in the emergency investigations of major natural hazards in a large area, but less commonly for single geo-hazards. Based on a number of successful practices in the Three Gorges Reservoir area, China, a complete UAV-based emergency investigation method of single geo-hazards is concluded. It can not only greatly reduce the time, strength and risks, but can also provide high-accuracy, high-definition valuable information to support emergency responses.
Marco Cannioto, Antonino D'Alessandro, Giosuè Lo Bosco, Salvatore Scudero, and Giovanni Vitale
Nat. Hazards Earth Syst. Sci., 17, 1939–1946, https://doi.org/10.5194/nhess-17-1939-2017, https://doi.org/10.5194/nhess-17-1939-2017, 2017
Short summary
Short summary
Immediately after an earthquake it is crucial to perform the fastest recognition of the damaged area to rescue as much people is possible and to assess and map the damage scenario. We apply the vehicle routing problem (VRP) to a fleet of unmanned aerial vehicles (UAVs) to find the shortest routes and the best take-off sites. The simulation, performed with different autonomy ranges, is carried out in the town of Acireale (Italy), where a real-time accelerometric network has been installed.
Hiroto Nagai, Manabu Watanabe, Naoya Tomii, Takeo Tadono, and Shinichi Suzuki
Nat. Hazards Earth Syst. Sci., 17, 1907–1921, https://doi.org/10.5194/nhess-17-1907-2017, https://doi.org/10.5194/nhess-17-1907-2017, 2017
Short summary
Short summary
We demonstrated an assessment of the sediments caused by a catastrophic avalanche, induced by the main shock of the 2015 Gorkha Earthquake in Nepal. A Japanese space-borne sensor, PALSAR-2, have a high potential for delineating the hazardous zone. Comparison of pre- and post-high-resolution topographic data estimates the avalanche-induced sediment volume as 5.51 × 106 m3. High-resolution satellite imagery revealed that it has multiple layers of sediment with different physical properties.
Cited articles
Asner, G. P., Knapp, D. E., Boardman, J., O.Green, R., Kennedy-Bowdoin, T., Eastwood, M., Martin, R. E., Anderson, C., and Field, C. B.: Carnegie Airborne
Observatory-2: Increasing science data dimensionality via high-fidelity
multi-sensor fusion, Remote Sens. Environ., 124, 454–465,
https://doi.org/10.1016/j.rse.2012.06.012, 2012.
Belward, A. S. and Skoien, J. O.: Who launched what, when and why; trends in
global land-cover observation capacity from civilian earth observation
satellites, ISPRS J. Photogram. Remote Sens.,
103, 115–128, https://doi.org/10.1016/j.isprsjprs.2014.03.009, 2015.
Butler, D.: Global observation project gets green light, Nature,
433, 789, https://doi.org/10.1038/433789a, 2005.
CEOS: The Committee on Earth Observation Satellite's database, available at: http://database.eohandbook.com/ (last access: 28 January 2022), 2020.
Colomina, I. and Molina, P.: Unmanned aerial systems for photogrammetry and
remote sensing: A review – ScienceDirect, ISPRS J. Photogram.
Remote Sens., 92, 79–97,
https://doi.org/10.1016/j.isprsjprs.2014.02.013, 2014.
Duda, K. A. and Jones, B. K.: USGS Remote Sensing Coordination for the 2010
Haiti Earthquake, Photogramm. Eng.,
77, 899–907, https://doi.org/10.14358/PERS.77.9.899, 2011.
Emrouznejad, A. and Marra, M.: The state of the art development of AHP
(1979–2017): a literature review with a social network analysis,
Int. J. Prod. Res., 55, 6653–6675,
https://doi.org/10.1080/00207543.2017.1334976, 2017.
Fan, H., Li, J., Chen, N. C., and Hu, C. L.: Capability representation model for
heterogeneous remote sensing sensors: Case study on soil moisture
monitoring, Environ. Model. Softw., 70, 65–79, https://doi.org/10.1016/j.envsoft.2015.04.005, 2015.
Fu, L., Lee, T., Liu, W., and Kwok, R.: Fifty Years of Satellite Remote Sensing
of the Ocean, Meteor. Meteorol. Monogr., 59, 5.1–5.46,
https://doi.org/10.1175/AMSMONOGRAPHS-D-18-0010.1, 2019.
Grün, A.: Scientific-technological development in photogrammetry and
remote sensing between 2004 and 2008, in: Advances in Photogrammetry, Remote Sensing and Spatial Information
Sciences – 2008 ISPRS Congress Book, edited by: Li, Z., Chen, J., and Baltavias, M., Taylor and Francis, 21–25, 2008.
Haghighi, M. H. and Motagh, M.: Ground surface response to continuous
compaction of aquifer system in Tehran, Iran: Results from a long-term
multi-sensor InSAR analysis, Remote Sens. Environ., 221, 534–550,
https://doi.org/10.1016/j.rse.2018.11.003, 2019.
Heckerman, D.: A Tutorial on Learning with Bayesian Networks, in: Innovations in Bayesian Networks. Studies in
Computational Intelligence, edited by: Holmes,
D. E. and Jain, L. C., Springer, Berlin, Heidelberg, 156,
https://doi.org/10.1007/978-3-540-85066-3_3,
2008.
Hermle, D., Keuschnig, M., Hartmeyer, I., Delleske, R., and Krautblatter, M.: Timely prediction potential of landslide early warning systems with multispectral remote sensing: a conceptual approach tested in the Sattelkar, Austria, Nat. Hazards Earth Syst. Sci., 21, 2753–2772, https://doi.org/10.5194/nhess-21-2753-2021, 2021.
Hu, C. L., Tian, L., Li, J., Wang, K., and Chen, N. C.: An Observation Capability Information
Association Model for Multisensor Observation Integration Management: A
Flood Observation Use Case in the Yangtze River Basin, IEEE Sensors J.,
19, 11510–11525, https://doi.org/10.1109/JSEN.2019.2933655, 2019.
Hu, C. L., Li, J., Xiao, C., Wang, K., and Chen, N. C.: SOCO-Field: observation capability
representation for GeoTask-oriented multi-sensor planning cognition,
Int. J. Geogr. Inf. Sci., 34, 205–228, https://doi.org/10.1080/13658816.2019.1655755, 2020.
Huang, H., Long, J., Yi, W., Yi, Q., Zhang, G., and Lei, B.: A method for using unmanned aerial vehicles for emergency investigation of single geo-hazards and sample applications of this method, Nat. Hazards Earth Syst. Sci., 17, 1961–1979, https://doi.org/10.5194/nhess-17-1961-2017, 2017.
Johnson, R.: GIS technology for disasters and emergency management, ESRI
White paper, https://www.esri.com/~/media/Files/Pdfs/library/whitepapers/pdfs/disastermgmt.pdf (last access: 28 January 2022), 2000.
Kahraman, C., Onar, S. C., and Oztaysi, B.: Fuzzy multicriteria decision-making:
a literature review, Int. J. Comput. Intell.
Syst., 8, 637–666, https://doi.org/10.1080/18756891.2015.1046325, 2015.
Kaku, K., Aso, N., and Takiguchi, F.: Space-based response to the 2011 Great
East Japan Earthquake: Lessons learnt from JAXA's support using earth
observation satellites, Int. J. Dis. Risk Red., 12, 134–153,
https://doi.org/10.1016/j.ijdrr.2014.12.009,2015.
Li, D. R., Tong, Q. X., Li, R. X., Gong, J. Y., and Zhang, L. P.: Current issues in
high-resolution earth observation technology, Sci. China Earth Sci.,
55, 1043–1051, https://doi.org/10.1007/s11430-012-4445-9, 2012.
Li, D. R., Liu, L. K., and Shao, Z. F.: An integration of aerial oblique
photogrammetry and mobile mapping system for urban geographical conditions
monitoring, Geomatics & Information Science of Wuhan University, 40,
427–435, https://doi.org/10.13203/j.whugis20140982, 2015.
Li, D. R., Wang, M., Shen, X., and Dong, Z. P.: From earth observation satellite
to earth observation brain, Geomatics & Information Science of Wuhan
University, 42, 143–149, https://doi.org/10.13203/j.whugis20160526,
2017.
Lu, P., Qin, Y., Li, Z., Mondini, A. C., and Casagli, N.: Landslide mapping from multi-sensor data
through improved change detection-based Markov random field, Remote Sens.
Environ., 231, 111235, https://doi.org/10.1016/j.rse.2019.111235, 2019.
Nagai, M., Chen, T., Shibasaki, R., Kumagai, H., and Ahmed, A.: UAV-Borne 3-D
Mapping System by Multisensor Integration, IEEE T. Geosci.
Remote, 47, 701–708,
https://doi.org/10.1109/tgrs.2008.2010314, 2009.
NSMC: National Satellite Meteorological Center of CMA,
available at: http://www.nsmc.org.cn/nsmc/cn/home/index.html (last access: 28 January 2022), 2020.
NSSDC: The NASA Master Directory Held at the NASA Space Science Data
Center, available at: https://nssdc.gsfc.nasa.gov/nmc/SpacecraftQuery.jsp (last access: 28 January 2022), 2020.
OSCAR: The Observing Systems Capability Analysis and Review tool OSCAR
maintained by the World Meteorological Organisation, available at:
https://space.oscar.wmo.int/ (last access: 28 January 2022), 2020.
Pan, G. and Tang, D. L.: Damage information derived from multi-sensor data of
the Wenchuan Earthquake of May 2008, Int. J. Remote Sens., 31, 3509–3519,
https://doi.org/10.1080/01431161003730865, 2010.
Pourret, O., Naim, P., and Marcot, B.: Introduction to Bayesian Networks, in: Bayesian Networks: A Practical Guide to Applications, John
Wiley & Sons, Ltd, 1–13, https://doi.org/10.1002/9780470994559.ch1, 2008.
Tian, F. T.: The Methodology of RSR and its Applications, J. Chinese
Phys., 2, 115–119, 2002.
Toth, C. and Jóźków, G.: Remote sensing platforms and sensors: A
survey, ISPRS, 115, 22–36, https://doi.org/10.1016/j.isprsjprs.2015.10.004, 2016.
UNDRR: United Nations Office for Disaster Risk Reduction Annual Report 2019, available at:
https://library.wmo.int/index.php?lvl=author_see&id=11742#.YfJXeb1BwdU (last access: 28 January 2022), 2019a.
UNDRR: Global Assessment Report on Disaster Risk Reduction 2019, available at:
https://www.undrr.org/publication/global-assessment-report-disaster-risk-reduction-2019 (last access: 28 January 2022), 2019b.
Ventisette, C. D., Gigli, G., Tofani, V., Lu, P., and Casagli, N.: Radar
Technologies for Landslide Detection, Monitoring, Early Warning and
Emergency Management, Modern Technologies for Landslide Monitoring and Prediction, online first, 209–232,
https://doi.org/10.1007/978-3-662-45931-7_11, 2015.
Wang, K., Wu, Q., Peng, Y., Hu, C., and Chen, N.: A Collaborative Planning Method of Space-Ground Sensor
Network Coverage Optimization for Multiparameter Observation Tasks, IEEE
Sensors J., 21, 8384–8399,
https://doi.org/10.1109/JSEN.2020.3048035, 2020.
Wang, W., Zhang, Z., Li, P. F., and Chen, N. C.: A Mission Oriented Measuring
Method for Imaging Satellite Sensors' Observing Capabilities, Geomatics &
Information Science of Wuhan University, 38, 1480–1483, 2013.
Wang, Y., Wang, C. H., Shi, C. Z., and Xiao, B. H.: Integration of cloud top
heights retrieved from FY-2 meteorological satellite, radiosonde, and
ground-based millimeter wavelength cloud radar observations, Atmos.
Res., 214, 284–295, https://doi.org/10.1016/j.atmosres.2018.07.025, 2018.
Zhang, S. Y., Xiao, Y. Y., Yang, P., Liu, Y. L., and Chang, W. B.: An
Effectiveness Evaluation Model for Satellite Observation and Data-Downlink
Scheduling Considering Weather Uncertainties, Remote Sens., 11, 1621,
https://doi.org/10.3390/rs11131621, 2019.
Zhang, X. L. and Xu, Z. H.: Extension of TOPSIS to Multiple Criteria Decision
Making with Pythagorean Fuzzy Sets, Int. J. Intell.
Syst., 29, 1061–1078, https://doi.org/10.1002/int.21676, 2015.
Zhang, Z., Zhang, Y., Ke, T., and Guo, D.: Photogrammetry for First Response in
Wenchuan Earthquake, Photogramm. Eng., 75,
510–513, https://doi.org/10.2352/J.ImagingSci.Technol.2009.53.3.030501, 2009.
Short summary
Through a comprehensive analysis of the current remote sensing technology resources, this paper establishes the database to realize the unified management of heterogeneous sensor resources and proposes a capability evaluation method of remote sensing cooperative technology in geohazard emergencies, providing a decision-making basis for the establishment of remote sensing cooperative observations in geohazard emergencies.
Through a comprehensive analysis of the current remote sensing technology resources, this paper...
Altmetrics
Final-revised paper
Preprint