Development of a framework for fire risk assessment using remote sensing and geographic information system technologies E Chuvieco, I Aguado, M Yebra, H Nieto, J Salas, MP Martín, L Vilar, ... Ecological modelling 221 (1), 46-58, 2010 | 701 | 2010 |
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 Tanase, ... Remote Sensing of Environment 225, 45-64, 2019 | 449 | 2019 |
A global review of remote sensing of live fuel moisture content for fire danger assessment: Moving towards operational products M Yebra, PE Dennison, E Chuvieco, D Riaño, P Zylstra, ER Hunt Jr, ... Remote Sensing of Environment 136, 455-468, 2013 | 383 | 2013 |
Estimation of live fuel moisture content from MODIS images for fire risk assessment M Yebra, E Chuvieco, D Riano Agricultural and forest meteorology 148 (4), 523-536, 2008 | 271 | 2008 |
Integrating geospatial information into fire risk assessment E Chuvieco, I Aguado, S Jurdao, ML Pettinari, M Yebra, J Salas, ... International journal of wildland fire 23 (5), 606-619, 2012 | 254 | 2012 |
Evaluation of optical remote sensing to estimate actual evapotranspiration and canopy conductance M Yebra, A Van Dijk, R Leuning, A Huete, JP Guerschman Remote Sensing of Environment 129, 250-261, 2013 | 167 | 2013 |
Satellite remote sensing contributions to wildland fire science and management E Chuvieco, I Aguado, J Salas, M García, M Yebra, P Oliva Current Forestry Reports 6, 81-96, 2020 | 164 | 2020 |
Prediction of fire occurrence from live fuel moisture content measurements in a Mediterranean ecosystem E Chuvieco, I González, F Verdú, I Aguado, M Yebra International Journal of Wildland Fire 18 (4), 430-441, 2009 | 149 | 2009 |
A fuel moisture content and flammability monitoring methodology for continental Australia based on optical remote sensing M Yebra, X Quan, D Riaño, PR Larraondo, AIJM van Dijk, GJ Cary Remote Sensing of Environment 212, 260-272, 2018 | 147 | 2018 |
Linking ecological information and radiative transfer models to estimate fuel moisture content in the Mediterranean region of Spain: Solving the ill-posed inverse problem M Yebra, E Chuvieco Remote Sensing of Environment 113 (11), 2403-2411, 2009 | 137 | 2009 |
Forest fire fuel through the lens of remote sensing: Review of approaches, challenges and future directions in the remote sensing of biotic determinants of fire behaviour MG Gale, GJ Cary, AIJM Van Dijk, M Yebra Remote Sensing of Environment 255, 112282, 2021 | 115 | 2021 |
Wildfires: Australia needs national monitoring agency D Bowman, G Williamson, M Yebra, J Lizundia-Loiola, ML Pettinari, ... Nature 584 (7820), 188-191, 2020 | 115 | 2020 |
Actual evapotranspiration estimation by ground and remote sensing methods: the Australian experience EP Glenn, TM Doody, JP Guerschman, AR Huete, EA King, TR McVicar, ... Hydrological Processes 25 (26), 4103-4116, 2011 | 108 | 2011 |
A radiative transfer model-based method for the estimation of grassland aboveground biomass X Quan, B He, M Yebra, C Yin, Z Liao, X Zhang, X Li International Journal of Applied Earth Observation and Geoinformation 54 …, 2017 | 96 | 2017 |
Regional estimation of woodland moisture content by inverting Radiative Transfer Models S Jurdao, M Yebra, JP Guerschman, E Chuvieco Remote Sensing of Environment 132, 59-70, 2013 | 86 | 2013 |
Retrieval of forest fuel moisture content using a coupled radiative transfer model X Quan, B He, M Yebra, C Yin, Z Liao, X Li Environmental Modelling & Software 95, 290-302, 2017 | 74 | 2017 |
Globe-LFMC, a global plant water status database for vegetation ecophysiology and wildfire applications M Yebra, G Scortechini, A Badi, ME Beget, MM Boer, R Bradstock, ... Scientific data 6 (1), 1-8, 2019 | 66 | 2019 |
Estimation of dry matter content in leaves using normalized indexes and PROSPECT model inversion A Romero, I Aguado, M Yebra International Journal of Remote Sensing 33 (2), 396-414, 2012 | 63 | 2012 |
Global fuel moisture content mapping from MODIS X Quan, M Yebra, D Riaño, B He, G Lai, X Liu International Journal of Applied Earth Observation and Geoinformation 101 …, 2021 | 56 | 2021 |
Global vegetation gross primary production estimation using satellite-derived light-use efficiency and canopy conductance M Yebra, AIJM Van Dijk, R Leuning, JP Guerschman Remote Sensing of Environment 163, 206-216, 2015 | 56 | 2015 |