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Integration of Optical and SAR Data for Burned Area Mapping in Mediterranean Regions

Daniela Stroppiana, Ramin Azar, Fabiana Calò, Antonio Pepe, Pasquale Imperatore, Mirco Boschetti, João Silva, Pietro Brivio, Riccardo Lanari
2015 Remote Sensing  
The aim of this paper is to investigate how optical and Synthetic Aperture Radar (SAR) data can be combined in an integrated multi-source framework to identify burned areas at the regional scale.  ...  Pre-post fire SAR backscatter temporal difference has been integrated with optical spectral indices to the aim of reducing confusion between burned areas and low-albedo surfaces.  ...  Flowchart of the pre-processing and classification steps implemented for the integration of SAR and optical data in the fuzzy burned area-mapping algorithm.  ... 
doi:10.3390/rs70201320 fatcat:yk3sftl2u5hrtp7mkim5j4rsmi


E.-M. Bernhard, E. Stein, A. Twele, M. Gähler
2012 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
of a single-and multi-temporal, object-based and semi-operational tool for burned area mapping.  ...  European Mediterranean region.  ...  For this reason, the suitability of X-band SAR data for burned area detection in combination with the optical burned area mapping needs to be investigated.  ... 
doi:10.5194/isprsarchives-xxxviii-4-w19-27-2011 fatcat:ccnh3ou2lrb2dn6hinnmowlsn4

Burned Area Detection Using Multi-Sensor SAR, Optical, and Thermal Data in Mediterranean Pine Forest

Saygin Abdikan, Caglar Bayik, Aliihsan Sekertekin, Filiz Bektas Balcik, Sadra Karimzadeh, Masashi Matsuoka, Fusun Balik Sanli
2022 Forests  
Burned area (BA) mapping of a forest after a fire is required for its management and the determination of the impacts on ecosystems.  ...  In addition to reflectance values of the optical images, Normalized Burn Ratio (NBR) and Land Surface Temperature (LST) data are produced from both Sentinel-2 and Landsat-8 data.  ...  Concerning the other multi-sensor-based studies about BA mappings, the combination of multispectral and thermal bands of optical data [23] , integration of optical and SAR data [33] , SAR backscatter  ... 
doi:10.3390/f13020347 fatcat:vea3ysdhx5frng6i3zewcijgzi

Use of Remote Sensing in Wildfire Management [chapter]

Brigitte Leblon, Laura Bourgeau-Chavez, Jess San-Miguel-Ayanz
2012 Sustainable Development - Authoritative and Leading Edge Content for Environmental Management  
Chen, Use of Remote Sensing in Wildfire Management 75  ...  ERS-1 and RADARSAT-1 SAR image processing were helped by N.  ...  Pereira et al. (1999) showed that the accuracy of the results for mapping burnt areas with AVHRR data in the Mediterranean region of Europe was about 80% for large fires.  ... 
doi:10.5772/45829 fatcat:dhems6dw75f4biafdy4j3zs5su

Remote Sensing Techniques in Monitoring Post-Fire Effects and Patterns of Forest Recovery in Boreal Forest Regions: A Review

Thuan Chu, Xulin Guo
2013 Remote Sensing  
and forest patterns in boreal regions.  ...  The review reveals that remote sensing-based monitoring of post-fire effects and forest recovery patterns in boreal forest regions is not only limited by the gaps in both field data and remotely sensed  ...  We also acknowledge the anonymous reviewers for their valuable comments and Colin Brown for the language revision to improve this manuscript.  ... 
doi:10.3390/rs6010470 fatcat:rj27xx522rb2ra675uy3c76zle

Measurement of Forest Above-Ground Biomass Using Active and Passive Remote Sensing at Large (Subnational to Global) Scales

Richard M. Lucas, Anthea L. Mitchell, John Armston
2015 Current Forestry Reports  
Comparisons of data and derived products have, in some cases, also contributed to our understanding of changes in carbon stocks across large areas.  ...  Further improvements in estimates are anticipated with the launch of new spaceborne LiDAR and SAR that have been specifically designed for better retrieval of forest structure and AGB.  ...  For estimating AGB, methods have focused primarily on multi-sensor approaches that integrate optical, SAR, and/or LiDAR data.  ... 
doi:10.1007/s40725-015-0021-9 fatcat:w6le4hl3incjdo3ahvbeyoxv3a


S. Mutai, L. Chang
2020 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Nevertheless, the results in both areas verify the use of satellite SAR sensors and optical in forestry application.  ...  This study investigates the use of Advanced Land Observing Satellite 2 (ALOS-2) equipped with an enhanced L-band SAR sensor imagery alongside with Landsat-8 optical sensor in detection and mapping of burnt  ...  Valentyn Tolpekin (ICEYE) for giving valuable advice and sharing R scripts, JAXA for providing ALOS-2 data under the project 'Analysis of forest fire using Radar' [ER2AN126], and the United States Geological  ... 
doi:10.5194/isprs-annals-vi-3-w1-2020-75-2020 fatcat:xoccevmle5eyzkzshyxp4gujca

Exploitation of Sentinel-2 Time Series to Map Burned Areas at the National Level: A Case Study on the 2017 Italy Wildfires

Federico Filipponi
2019 Remote Sensing  
Satellite data play a major role in supporting knowledge about fire severity by delivering rapid information to map fire-damaged areas in a precise and prompt way.  ...  Result showed a total burned area for the Italian country in the year 2017 of around 1400 km2, with the proposed methodology generating a commission error of around 25% and an omission error of around  ...  Successive data processing was performed through the RUS (Research and User Support for Sentinel) on-line platform, designed to promote the uptake of the Sentinel data.  ... 
doi:10.3390/rs11060622 fatcat:gn6bwz4xpzdhpjsvgnjon7bm2u

Improving WRF-Fire Wildfire Simulation Accuracy Using SAR and Time Series of Satellite-Based Vegetation Indices

Yaron Michael, Gilad Kozokaro, Steve Brenner, Itamar M. Lensky
2022 Remote Sensing  
Our results demonstrate the potential of combining satellite SAR data and Landsat NDVI trends to improve WRF-Fire wildfire simulations.  ...  This study aims to improve the accuracy of WRF-Fire wildfire simulations, by using synthetic-aperture radar (SAR) data to estimate the fuel load and the trend of vegetation index to estimate the dryness  ...  Y.M. acknowledges the support provided by the Ministry of Science and Technology of Israel through the Eshkol Scholarship (grant 3-14504).  ... 
doi:10.3390/rs14122941 fatcat:c6p7mtlfynholncnebzxuikjim

Historical background and current developments for mapping burned area from satellite Earth observation

Emilio Chuvieco, Florent Mouillot, Guido R. van der Werf, Jesús San Miguel, Mihai Tanasse, Nikos Koutsias, Mariano García, Marta Yebra, Marc Padilla, Ioannis Gitas, Angelika Heil, Todd J. Hawbaker (+1 others)
2019 Remote Sensing of Environment  
recent approaches to map burned areas and evaluates the existing burned area products (both at global and regional scales).  ...  With the launch of the first Earth observation satellites, remote sensing quickly became a more practical alternative to detect burned areas, as they provide timely regional and global coverage of fire  ...  The combined use of optical and SAR data may help the BA detection in regions where optical sensors perform poorly on their own.  ... 
doi:10.1016/j.rse.2019.02.013 fatcat:eywm3ix63ngvdczdtdci46etwu

Tools for Assessing the Impacts of Climate Variability and Change on Wildfire Regimes in Forests

Hety Herawati, José González-Olabarria, Arief Wijaya, Christopher Martius, Herry Purnomo, Rubeta Andriani
2015 Forests  
of ignition and of fire suppression difficulty; fire risk = the probability of fire initiation due to the presence and activity of a causative agent; flammability = relative ease of igniting and burning  ...  This review outlines each tool in terms of its characteristics, spatial and temporal resolution, limitations and applicability of the results.  ...  Aid) for the financial support of this study.  ... 
doi:10.3390/f6051476 fatcat:vjax54nokbgebp4hfnkggfrppm

SIGRI - an Integrated System for Detecting, Monitoring, Characterizing Forest Fires and Assessing damage by LEO-GEO Data

Giovanni Laneve
2012 Italian Journal of Remote Sensing  
of EO data useful for being applied for 15 managing the forest fire risk, for detecting fires, and mapping burned areas.  ...  burnt area and variation of the optical characteristics of the 18 atmosphere due to burning products (global-scale climate change).  ... 
doi:10.5721/itjrs20124412 fatcat:fyemtapqo5ghxlghjlayxkomcu

PREFER FP7 project for the management of the pre- and post-fire phases: presentation of the products [chapter]

G. Laneve, Roberto de Bonis, Lorenzo Fusilli, Fabrizio Ferrucci, Ana Sebastian Lopez, Sandra Oliveira, Stephen Clandillon, Lucia Tampellini, Barbara Hirn, Dimitris Diagourtas, George Leventakis
2014 Advances in forest fire research  
Hazard Map Burn Scar map HR Optical and SAR Seasonal Exposure (Vulnerability & Economical Value) Map Burn Scar Map VHR Seasonal Risk Map Biomass Burning Aerosol Map Daily Fire Hazard 3D Fire  ...  DSI Optimized for change detection in burned areas; Increased sensitivity in changes due to fire.  ... 
doi:10.14195/978-989-26-0884-6_97 fatcat:evexr44dzrccrnjxsuwtsuof3u

Advances in Remote Sensing of Post-Fire Vegetation Recovery Monitoring - A Review [chapter]

Ioannis Gitas, George Mitri, Sander Veraverbeke, Anastasia Polychronaki
2012 Remote Sensing of Biomass - Principles and Applications  
The review was also supported by the Lebanese National Council for Scientific Research (CNRS) and part of the work was carried out at the Jet Propulsion Laboratory, California Institute of Technology,  ...  under a contract with the National Aeronautics and Space Administration.  ...  Minchella et al. (2009) used multitemporal ERS SAR images to monitor the vegetation recovery in a Mediterranean burned area.  ... 
doi:10.5772/20571 fatcat:63jbdemtsrgvbkqx5hplx6mnmm

Google Earth Engine as Multi-Sensor Open-Source Tool for Supporting the Preservation of Archaeological Areas: The Case Study of Flood and Fire Mapping in Metaponto, Italy

Carmen Fattore, Nicodemo Abate, Farid Faridani, Nicola Masini, Rosa Lasaponara
2021 Sensors  
useful information for setting up strategies to mitigate damage and support the preservation of areas and landscape rich in cultural and natural heritage.  ...  The use of the Google Earth Engine has allowed the supervised and unsupervised classification of areas affected by flooding (2013–2020) and fire (2017) in the past years, obtaining remarkable results and  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21051791 pmid:33806568 fatcat:t7loeg2fubhazhwrsttos2dmy4
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