Related references
Note: Only part of the references are listed.A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images
Miguel M. Pinto et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)
A spatio-temporal active-fire clustering approach for global burned area mapping at 250 m from MODIS data
Joshua Lizundia-Loiola et al.
REMOTE SENSING OF ENVIRONMENT (2020)
Near Real-Time Wildfire Progression Monitoring with Sentinel-1 SAR Time Series and Deep Learning
Yifang Ban et al.
SCIENTIFIC REPORTS (2020)
Burned Area Detection and Mapping: Intercomparison of Sentinel-1 and Sentinel-2 Based Algorithms over Tropical Africa
Mihai A. Tanase et al.
REMOTE SENSING (2020)
Toward Global Soil Moisture Monitoring With Sentinel-1: Harnessing Assets and Overcoming Obstacles
Bernhard Bauer-Marschallingere et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)
Joint Deep Learning for land cover and land use classification
Ce Zhang et al.
REMOTE SENSING OF ENVIRONMENT (2019)
Development of a Sentinel-2 burned area algorithm: Generation of a small fire database for sub-Saharan Africa
E. Roteta et al.
REMOTE SENSING OF ENVIRONMENT (2019)
Deep learning based multi-temporal crop classification
Liheng Zhong et al.
REMOTE SENSING OF ENVIRONMENT (2019)
Integration of Sentinel-1 and Sentinel-2 for Classification and LULC Mapping in the Urban Area of Belem, Eastern Brazilian Amazon
Paulo Amador Tavares et al.
SENSORS (2019)
Historical background and current developments for mapping burned area from satellite Earth observation
Emilio Chuvieco et al.
REMOTE SENSING OF ENVIRONMENT (2019)
Unsupervised Deep Change Vector Analysis for Multiple-Change Detection in VHR Images
Sudipan Saha et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)
Deep learning in remote sensing applications: A meta-analysis and review
Lei Ma et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2019)
A deep learning approach to detecting volcano deformation from satellite imagery using synthetic datasets
N. Anantrasirichai et al.
REMOTE SENSING OF ENVIRONMENT (2019)
Burned area detection and mapping using Sentinel-1 backscatter coefficient and thermal anomalies
Miguel A. Belenguer-Plomer et al.
REMOTE SENSING OF ENVIRONMENT (2019)
Climate drivers of the 2017 devastating fires in Portugal
Marco Turco et al.
SCIENTIFIC REPORTS (2019)
Temporal Decorrelation of C-Band Backscatter Coefficient in Mediterranean Burned Areas
Miguel A. Belenguer-Plomer et al.
REMOTE SENSING (2019)
Soil Moisture Retrieval From SMAP: A Validation and Error Analysis Study Using Ground-Based Observations Over the Little Washita Watershed
Quan Chen et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2018)
Multisource Remote Sensing Data Classification Based on Convolutional Neural Network
Xiaodong Xu et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2018)
A hybrid MLP-CNN classifier for very fine resolution remotely sensed image classification
Ce Zhang et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2018)
Detecting mammals in UAV images: Best practices to address a substantially imbalanced dataset with deep learning
Benjamin Kellenberger et al.
REMOTE SENSING OF ENVIRONMENT (2018)
Development and assessment of the SMAP enhanced passive soil moisture product
S. K. Chan et al.
REMOTE SENSING OF ENVIRONMENT (2018)
Global Analysis of Burned Area Persistence Time with MODIS Data
Andrea Melchiorre et al.
REMOTE SENSING (2018)
A CNN-Based Fusion Method for Feature Extraction from Sentinel Data
Giuseppe Scarpa et al.
REMOTE SENSING (2018)
The Collection 6 MODIS burned area mapping algorithm and product
Louis Giglio et al.
REMOTE SENSING OF ENVIRONMENT (2018)
Use of the SAR Shadowing Effect for Deforestation Detection with Sentinel-1 Time Series
Alexandre Bouvet et al.
REMOTE SENSING (2018)
Synergistic Use of Radar Sentinel-1 and Optical Sentinel-2 Imagery for Crop Mapping: A Case Study for Belgium
Kristof Van Tricht et al.
REMOTE SENSING (2018)
M3Fusion: A Deep Learning Architecture for Multiscale Multimodal Multitemporal Satellite Data Fusion
Paola Benedetti et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2018)
Appraisal of the Sentinel-1 & 2 use in a large-scale wildfire assessment: A case study from Portugal's fires of 2017
Alexander R. Brown et al.
APPLIED GEOGRAPHY (2018)
Developing Forest Cover Composites through a Combination of Landsat-8 Optical and Sentinel-1 SAR Data for the Visualization and Extraction of Forested Areas
Ram C. Sharma et al.
JOURNAL OF IMAGING (2018)
SatCNN: satellite image dataset classification using agile convolutional neural networks
Yanfei Zhong et al.
REMOTE SENSING LETTERS (2017)
Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data
Nataliia Kussul et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2017)
Effect of the Vegetation Fire on Backscattering: An Investigation Based on Sentinel-1 Observations
Pasquale Imperatore et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2017)
The ESA Climate Change Initiative (CCI): A European contribution to the generation of the Global Climate Observing System
Stephen Plummer et al.
REMOTE SENSING OF ENVIRONMENT (2017)
Stratification and sample allocation for reference burned area data
Marc Padilla et al.
REMOTE SENSING OF ENVIRONMENT (2017)
Large-Scale Assessment of Coastal Aquaculture Ponds with Sentinel-1 Time Series Data
Marco Ottinger et al.
REMOTE SENSING (2017)
Deep Learning in Remote Sensing
Xiao Xiang Zhu et al.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2017)
Global fire emissions estimates during 1997-2016
Guido R. van der Werf et al.
EARTH SYSTEM SCIENCE DATA (2017)
Forest fires and climate change: causes, consequences and management options
Cristina Aponte et al.
INTERNATIONAL JOURNAL OF WILDLAND FIRE (2016)
Evaluation of spectral indices for estimating burn severity in semiarid grasslands
Bing Lu et al.
INTERNATIONAL JOURNAL OF WILDLAND FIRE (2016)
The collection 6 MODIS active fire detection algorithm and fire products
Louis Giglio et al.
REMOTE SENSING OF ENVIRONMENT (2016)
Preliminary Comparison of Sentinel-2 and Landsat 8 Imagery for a Combined Use
Emanuele Mandanici et al.
REMOTE SENSING (2016)
The Potential of Sentinel Satellites for Burnt Area Mapping and Monitoring in the Congo Basin Forests
Astrid Verhegghen et al.
REMOTE SENSING (2016)
Recent Advances and Remaining Uncertainties in Resolving Past and Future Climate Effects on Global Fire Activity
A. Park Williams et al.
CURRENT CLIMATE CHANGE REPORTS (2016)
Climate, CO2 and human population impacts on global wildfire emissions
W. Knorr et al.
BIOGEOSCIENCES (2016)
Sensitivity of global terrestrial carbon cycle dynamics to variability in satellite-observed burned area
Benjamin Poulter et al.
GLOBAL BIOGEOCHEMICAL CYCLES (2015)
C-Band SAR Backscatter Evaluation of 2008 Gallipoli Forest Fire
Mehmet Kurum
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2015)
Deep learning in neural networks: An overview
Juergen Schmidhuber
NEURAL NETWORKS (2015)
Comparing the accuracies of remote sensing global burned area products using stratified random sampling and estimation
Marc Padilla et al.
REMOTE SENSING OF ENVIRONMENT (2015)
Integration of Optical and SAR Data for Burned Area Mapping in Mediterranean Regions
Daniela Stroppiana et al.
REMOTE SENSING (2015)
Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery
Fan Hu et al.
REMOTE SENSING (2015)
THE CONCEPT OF ESSENTIAL CLIMATE VARIABLES IN SUPPORT OF CLIMATE RESEARCH, APPLICATIONS, AND POLICY
Stephan Bojinski et al.
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY (2014)
Polarimetric Properties of Burned Forest Areas at C- and L-Band
Mihai A. Tanase et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2014)
Ten years of global burned area products from spaceborne remote sensing-A review: Analysis of user needs and recommendations for future developments
Florent Mouillot et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2014)
The New VIIRS 375 m active fire detection data product: Algorithm description and initial assessment
Wilfrid Schroeder et al.
REMOTE SENSING OF ENVIRONMENT (2014)
Validation of the 2008 MODIS-MCD45 global burned area product using stratified random sampling
Marc Padilla et al.
REMOTE SENSING OF ENVIRONMENT (2014)
THE ESA CLIMATE CHANGE INITIATIVE Satellite Data Records for Essential Climate Variables
R. Hollmann et al.
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY (2013)
High-Resolution Global Maps of 21st-Century Forest Cover Change
M. C. Hansen et al.
SCIENCE (2013)
Fuel shapes the fire-climate relationship: evidence from Mediterranean ecosystems
Juli G. Pausas et al.
GLOBAL ECOLOGY AND BIOGEOGRAPHY (2012)
The changing radiative forcing of fires: global model estimates for past, present and future
D. S. Ward et al.
ATMOSPHERIC CHEMISTRY AND PHYSICS (2012)
The impacts of climate, land use, and demography on fires during the 21st century simulated by CLM-CN
S. Kloster et al.
BIOGEOSCIENCES (2012)
Model-Based Decomposition of Polarimetric SAR Covariance Matrices Constrained for Nonnegative Eigenvalues
Jakob J. van Zyl et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2011)
Tuning the parameters of an artificial neural network using central composite design and genetic algorithm
M. Bashiri et al.
SCIENTIA IRANICA (2011)
Development of a framework for fire risk assessment using remote sensing and geographic information system technologies
Emilio Chuvieco et al.
ECOLOGICAL MODELLING (2010)
Implications of changing climate for global wildland fire
Mike D. Flannigan et al.
INTERNATIONAL JOURNAL OF WILDLAND FIRE (2009)
Global Pyrogeography: the Current and Future Distribution of Wildfire
Meg A. Krawchuk et al.
PLOS ONE (2009)
An active-fire based burned area mapping algorithm for the MODIS sensor
Louis Giglio et al.
REMOTE SENSING OF ENVIRONMENT (2009)
Fire in the Earth System
David M. J. S. Bowman et al.
SCIENCE (2009)
The collection 5 MODIS burned area product - Global evaluation by comparison with the MODIS active fire product
D. P. Roy et al.
REMOTE SENSING OF ENVIRONMENT (2008)
Land cover change 2002-2005 in Borneo and the role of fire derived from MODIS imagery
Andreas Langner et al.
GLOBAL CHANGE BIOLOGY (2007)
Regionally adaptable dNBR-based algorithm for burned area mapping from MODIS data
T. Loboda et al.
REMOTE SENSING OF ENVIRONMENT (2007)
Backscatter change on fire scars in Siberian boreal forests in ENVISAT ASAR wide-swath images
SL Huang et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2006)
Evaluation of RADARSAT-1 data for identification of burnt areas in Southern Europe
M Gimeno et al.
REMOTE SENSING OF ENVIRONMENT (2004)
The effect of savanna fires on SAR backscatter in northern Australia
CH Menges et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2004)
Positive feedbacks of fire, climate, and vegetation and the conversion of tropical savanna
WA Hoffmann et al.
GEOPHYSICAL RESEARCH LETTERS (2002)
Mapping fire scars in global boreal forests using imaging radar data
LL Bourgeau-Chavez et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2002)
Interannual growth rate variations of atmospheric CO2 and its δ13C, H2, CH4, and CO between 1992 and 1999 linked to biomass burning -: art. no. 1048
RL Langenfelds et al.
GLOBAL BIOGEOCHEMICAL CYCLES (2002)
An evaluation of different bi-spectral spaces for discriminating burned shrub-savannah
S Trigg et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2001)
Hotspot and NDVI differencing synergy (HANDS): A new technique for burned area mapping over boreal forest
RH Fraser et al.
REMOTE SENSING OF ENVIRONMENT (2000)
Multitemporal ERS SAR analysis applied to forest mapping
S Quegan et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2000)