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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  
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  ...  A B S T R A C T Fire has a diverse range of impacts on Earth's physical and social systems.  ...  Another approach to combine different sensors is the joint use of optical and radar data.  ... 
doi:10.1016/j.rse.2019.02.013 fatcat:eywm3ix63ngvdczdtdci46etwu

2014 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 7

2014 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
., Bronstert, A., and Foerster, S  ...  Elkadiri, R., +, JSTARS Dec. 2014 4818-4835 Data processing Foreword to the Special Issue on Machine Learning for Remote Sensing Data Processing.  ...  Issue on Machine Learning for Remote Sensing Data Processing; JSTARS April 2014 1007-1011 U Ulfarsson, M.  ... 
doi:10.1109/jstars.2015.2397347 fatcat:ib3tjwsjsnd6ri6kkklq5ov37a

Remote Sensing of Boreal Wetlands 2: Methods for Evaluating Boreal Wetland Ecosystem State and Drivers of Change

Laura Chasmer, Craig Mahoney, Koreen Millard, Kailyn Nelson, Daniel Peters, Michael Merchant, Chris Hopkinson, Brian Brisco, Olaf Niemann, Joshua Montgomery, Kevin Devito, Danielle Cobbaert
2020 Remote Sensing  
The results of this review provide users with a guideline for optimal use of remotely sensed data and suggested field methods for boreal and global wetland studies.  ...  The following review is the second part of a two part series on the use of remotely sensed data for quantifying wetland extent and inferring or measuring condition for monitoring drivers of change on wetland  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs12081321 fatcat:gmuhr7henza35ie2m5lobmpwcq

2012 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 50

2012 IEEE Transactions on Geoscience and Remote Sensing  
., +, TGRS March 2012 850-862 Fuzzy set theory SVM-Based Fuzzy Decision Trees for Classification of High Spatial Resolution Remote Sensing Images.  ...  ., +, TGRS May 2012 1844-1852 TGRS May 2012 1942-1954 Geophysical signal processing A Combined Optical-Microwave Method to Retrieve Soil Moisture Over Vegetated Areas.  ...  Radar resolution A Novel Method for Imaging of Group Targets Moving in a Formation. Bai, X., +, TGRS Jan. 2012  ... 
doi:10.1109/tgrs.2012.2229656 fatcat:hjrotpfsqzhxlnnme27ftv33cu

Table of Contents

2021 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS  
IMAGER BASED ON SPECTRUM SIMULATION Dandan Wei, Yao Liu, Land Satellite Remote Sensing Application Center, Ministry of Natural Resources of China, China WE2.MM-25: LIDAR DATA PROCESSING AND APPLICATIONS  ...  VECTOR WIND BY SPACEBORNE MICROWAVE REMOTE SENSING Xiaolong Dong, Key Laboratory of Microwave Remote Sensing, National Space Science Center, China; Paul S.  ... 
doi:10.1109/igarss47720.2021.9553380 fatcat:zm7sioez6vgblpj25frkkxtfc4

An overview of MATISSE-v2.0

Luc Labarre, Karine Caillault, Sandrine Fauqueux, Claire Malherbe, Antoine Roblin, Bernard Rosier, Pierre Simoneau, Karin Stein, John D. Gonglewski
2010 Optics in Atmospheric Propagation and Adaptive Systems XIII  
This Programme is based on commitments received up to the time of publication and is subject to change without notice.  ...  The symposium, like our other conferences and activities, would not be possible without the dedicated contribution of our participants and members.  ...  for providing the Radarsat-2, TerraSAR-X and weather data respectively.  ... 
doi:10.1117/12.868183 fatcat:5anlqspzzzcftfufaxvlr45zve

2020 Index IEEE Transactions on Industrial Informatics Vol. 16

2020 IEEE Transactions on Industrial Informatics  
Forests-Based Model for Ultra-Short-Term Prediction of PV Characteristics; TII Jan. 2020 202-214 Imran, A., see Hussain, B., TII Aug. 2020 4986-4996 Imran, M., see Fu, S., TII Sept. 2020 6013-6022  ...  Gao, F., Data-Driven Two-Dimensional Deep Correlated Representation Learning for Nonlinear Batch Process Monitoring; TII April 2020 2839-2848 Jiang, S., see Li, Y., 1076-1085 Jiang, X., see Gong, K.,  ...  ., +, Fuzzy Control Strategy of Burn-Through Point Based on the Feature Extraction of Time-Series Trend for Iron Ore Sintering Process.  ... 
doi:10.1109/tii.2021.3053362 fatcat:blfvdtsc3fdstnk6qoaazskd3i

A Survey of Change Detection Methods Based on Remote Sensing Images for Multi-Source and Multi-Objective Scenarios

Yanan You, Jingyi Cao, Wenli Zhou
2020 Remote Sensing  
Based on the survey, a general change detection framework, including change information extraction, data fusion, and analysis of multi-objective scenarios modules, is summarized.  ...  Quantities of multi-temporal remote sensing (RS) images create favorable conditions for exploring the urban change in the long term.  ...  Acknowledgments: Thanks to the guidance of Intelligent Perception and Computing Teaching and Research Office in BUPT, and thanks to the editors for their suggestions for this article.  ... 
doi:10.3390/rs12152460 fatcat:itc5ixwgrffuzgzyj2yrycaree

Green Energy Sources Assessment Using Sentinel-1 Satellite Remote Sensing

Meysam Majidi Nezhad, Benedetto Nastasi, Daniele Groppi, Mario Lamagna, Giuseppe Piras, Davide Astiaso Garcia
2021 Frontiers in Energy Research  
Satellite remote sensing technology for identifying suitable areas for GESs power plants could be a powerful tool that is constantly increasing in its new and fast applications but requires good planning  ...  Satellites remote sensing technologies and techniques for GESs assessing are fast, accurate, and can help to reduce costs and decision-making risks of GESs converters installations projects and provide  ...  Time series analysis of the remote sensing data of SAR satellites is a very useful tool for monitoring and describing land surface characteristics in large areas.  ... 
doi:10.3389/fenrg.2021.649305 fatcat:wc2dlped3vcq7ctxzisavr2xca

The Silk Road agenda of the Pan-Eurasian Experiment (PEEX) program

Hanna K. Lappalainen, Markku Kulmala, Joni Kujansuu, Tuukka Petäjä, Alexander Mahura, Gerrit de Leeuw, Sergej Zilitinkevich, Merli Juustila, Veli-Matti Kerminen, Bob Bornstein, Zhang Jiahua, Xue Yong (+4 others)
2018 Big Earth Data  
A framework is needed in which a science and technology-based approach has the critical mass and expertise to identify the main steps toward solutions and is capable to implement this roadmap.  ...  One fundamental element of the PEEX research agenda is the availability of comprehensive ground-based observations together with Earth observation data.  ...  Acknowledgements Our sincere thanks for Dr Nuria Altimir, University of Helsinki, PEEX HQ Office, for the production of Figures 1-9.  ... 
doi:10.1080/20964471.2018.1437704 fatcat:frlntdmb7jgffow3jdh73hkabm

Decision Support System Development of Wildland Fire: A Systematic Mapping

Felipe Vásquez, Ania Cravero, Manuel Castro, Patricio Acevedo
2021 Forests  
Although the use of BA and Big Data has increased in recent years, there are still many challenges to face, such as staff training, the friendly environment of DSS, and real-time decision-making.  ...  The concepts key to the type of solution are related to the use or development of systems or Information and Communication Technologies (ICT) in the computer science area.  ...  SemanticScholar 2011 6 [74] Estimation of area burned by forest fires in Mediterranean countries: A remote sensing data mining perspective Quintano C., Fernández-Manso A., Stein A., Bijker W.  ... 
doi:10.3390/f12070943 fatcat:r3jf2vus6zbnpnmirpwk4dlvfi

Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review

Gianpaolo Balsamo, Anna Agustì-Parareda, Clément Albergel, Gabriele Arduini, Anton Beljaars, Jean Bidlot, Nicolas Bousserez, Souhail Boussetta, Andy Brown, Roberto Buizza, Carlo Buontempo, Frédéric Chevallier (+33 others)
2018 Remote Sensing  
In this paper, we review the use of satellite-based remote sensing in combination with in situ data to inform Earth surface modelling.  ...  To improve our understanding of the complex behavior of the Earth system at the surface and sub-surface, we need large volumes of data from high-resolution modelling and remote sensing, since the Earth  ...  We thank three anonymous reviewers and the assigned Remote Sensing editors for their valuable comments.  ... 
doi:10.3390/rs10122038 fatcat:qovifbs5crgbhhpwolysj4tuya

Measuring atmospheric composition change

P. Laj, J. Klausen, M. Bilde, C. Plaß-Duelmer, G. Pappalardo, C. Clerbaux, U. Baltensperger, J. Hjorth, D. Simpson, S. Reimann, P.-F. Coheur, A. Richter (+41 others)
2009 Atmospheric Environment  
passenger aircrafts, ground-based in situ and remote sensing stations, earth observation satellite instruments) providing essential information on the composition of the atmosphere.  ...  Scientific findings from the last decades have clearly highlighted the need for a more comprehensive approach to atmospheric change processes.  ...  We are thankful to Mariana Berthet and the ACCENT project office for their support in the preparation of the article.  ... 
doi:10.1016/j.atmosenv.2009.08.020 fatcat:45zeml2sk5dizbnaydexgmtrhy

Knowledge Extracted from Copernicus Satellite Data

Dumitru Octavian, Schwarz Gottfried, Eltoft Torbjørn, Kræmer Thomas, Wagner Penelope, Hughes Nick, Arthus David, Fleming Andrew, Koubarakis Manolis, Datcu Mihai
2019 Zenodo  
During the development of deep learning algorithms, a key activity is to establish a large amount of referenced Earth Observation data.  ...  In this publication, we focus on the Polar case which requires the selection of validation areas, the generation of a training dataset, the development and testing of deep learning algorithms, and the  ...  The use of multi-or hyperspectral remote sensing data into soil monitoring and digital mapping can provide a large-scale survey, comprehensive and effective sites' monitoring and assess topsoil variables  ... 
doi:10.5281/zenodo.3941573 fatcat:zzifwgljifck5bpjnboetsftfu

Comparison of Phase-less Direction of Arrival Estimation Methods for Switched Beam Antennas

A. Cidronali, G. Collodi, M. Lucarelli, S. Maddio, M. Passafiume, G. Pelosi, S. Selleri
2019 2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring)  
(Texas A&M University); Masanori Saito (Texas A&M University); Patrick Stgemann (Joint Center for Satellite Data Assimilation/NOAA Center for Weather and Climate Prediction); Bryan A.  ...  Techniques in Electromagnetics and Applications 1 4A8 -Quantum Information Processing and Devices 2 3A1 -Remote Sensing of the Earth, Ocean, and Atmosphere 1 4A2 -Remote Sensing of the Earth  ... 
doi:10.1109/piers-spring46901.2019.9017336 fatcat:adobca2sg5ga5ccjpuepkrpbsa
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