Historical background and current developments for mapping burned area from satellite Earth observation E Chuvieco, F Mouillot, GR van der Werf, J San Miguel, M Tanasse, ... Remote Sensing of Environment 225, 45-64, 2019 | 491 | 2019 |
Development of a Sentinel-2 burned area algorithm: Generation of a small fire database for sub-Saharan Africa E Roteta, A Bastarrika, M Padilla, T Storm, E Chuvieco Remote Sensing of Environment 222, 1-17, 2019 | 398 | 2019 |
Generation and analysis of a new global burned area product based on MODIS 250 m reflectance bands and thermal anomalies E Chuvieco, J Lizundia-Loiola, ML Pettinari, R Ramo, M Padilla, K Tansey, ... Earth System Science Data 10 (4), 2015-2031, 2018 | 279 | 2018 |
Comparing the accuracies of remote sensing global burned area products using stratified random sampling and estimation M Padilla, SV Stehman, D Corti, R Ramo, S Hantson, P Oliva, I Alonso, ... Remote Sensing of Environment, 2015 | 238 | 2015 |
A new global burned area product for climate assessment of fire impacts E Chuvieco, C Yue, A Heil, F Mouillot, I Alonso‐Canas, M Padilla, ... Global Ecology and Biogeography 25 (5), 619-629, 2016 | 208 | 2016 |
Strengths and weaknesses of MODIS hotspots to characterize global fire occurrence S Hantson, M Padilla, D Corti, E Chuvieco Remote Sensing of Environment 131, 152-159, 2013 | 201 | 2013 |
On the comparative importance of fire danger rating indices and their integration with spatial and temporal variables for predicting daily human-caused fire occurrence in Spain M Padilla, C Vega-García International Journal of Wildland Fire 20, 46-58, 2011 | 163 | 2011 |
Validation of the 2008 MODIS-MCD45 global burned area product using stratified random sampling M Padilla, SV Stehman, E Chuvieco Remote Sensing of Environment 144, 187-196, 2014 | 150 | 2014 |
Stratification and sample allocation for reference burned area data M Padilla, P Olofsson, SV Stehman, K Tansey, E Chuvieco Remote Sensing of Environment 203, 240-255, 2017 | 83 | 2017 |
Assessing the temporal stability of the accuracy of a time series of burned area products M Padilla, SV Stehman, J Litago, E Chuvieco Remote Sensing 6, 2050-2068, 2014 | 50 | 2014 |
Development of a standard database of reference sites for validating global burned area products M Franquesa, MK Vanderhoof, D Stavrakoudis, IZ Gitas, E Roteta, ... Earth System Science Data 12 (4), 3229-3246, 2020 | 45 | 2020 |
Airborne S-band SAR for forest biophysical retrieval in temperate mixed forests of the UK RK Ningthoujam, H Balzter, K Tansey, K Morrison, S Johnson, F Gerard, ... Remote Sensing 8 (7), 609, 2016 | 40 | 2016 |
A patch-based algorithm for global and daily burned area mapping ML Campagnolo, D Oom, M Padilla, JMC Pereira Remote Sensing of Environment 232, 111288, 2019 | 32 | 2019 |
Validación de productos globales de área quemada en la Península Ibérica M Padilla, E Chuvieco Revista de Teledetección 31, 69-79, 2009 | 2 | 2009 |
Un análisis de los errores de comisión y omisión de los Hotspots de MODIS a partir de datos de área quemada de alta resolución a escala global S Hantson, M Padilla, D Corti, E Chuvieco Tecnologías de la información geográfica en el contexto del cambio global, 74-81, 2012 | 1 | 2012 |
Global mapping of burned areas from European satellites: the fire_cci project E Chuvieco, I Alonso-Canas, M Padilla, R Ramo Parte: http://hdl. handle. net/10316.2/34013, 2014 | | 2014 |
Error modelling on burned area products M Padilla, E Chuvieco AGU Fall Meeting Abstracts 1, 1740, 2012 | | 2012 |
A global comparison between MODIS hotspot and high resolution burned area data S Hantson, M Padilla, R Cardoso, D Corti, E Chuvieco EGU General Assembly Conference Abstracts 14, 12708, 2012 | | 2012 |
On the relative influence of local spatiotemporal variables on daily numbers of fires in Spain C Vega-García, M Padilla | | 2009 |
Caracterització del model de combustible d'un regenerat de Pinus Halepensis MP Parellada l'autor, 2004 | | 2004 |