INSTITUTO U. DE INVESTIGACIÓN EN GESTIÓN FORESTAL SOSTENIBLE
Institut
University of California, Santa Barbara
Santa Bárbara, Estados UnidosPublikationen in Zusammenarbeit mit Forschern von University of California, Santa Barbara (11)
2024
2022
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The number of tree species on Earth
Proceedings of the National Academy of Sciences of the United States of America, Vol. 119, Núm. 6
2020
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Can landsat-derived variables related to energy balance improve understanding of burn severity from current operational techniques?
Remote Sensing, Vol. 12, Núm. 5
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Enhanced burn severity estimation using fine resolution ET and MESMA fraction images with machine learning algorithm
Remote Sensing of Environment, Vol. 244
2019
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Burn severity analysis in Mediterranean forests using maximum entropy model trained with EO-1 Hyperion and LiDAR data
ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 155, pp. 102-118
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Vegetation and soil fire damage analysis based on species distribution modeling trained with multispectral satellite data
Remote Sensing, Vol. 11, Núm. 15
2017
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Burn severity mapping from Landsat MESMA fraction images and Land Surface Temperature
Remote Sensing of Environment, Vol. 190, pp. 83-95
2016
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Burn severity influence on post-fire vegetation cover resilience from Landsat MESMA fraction images time series in Mediterranean forest ecosystems
Remote Sensing of Environment, Vol. 184, pp. 112-123
2015
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Evapotranspiration deficit controls net primary production and growth of silver fir: Implications for Circum-Mediterranean forests under forecasted warmer and drier conditions
Agricultural and Forest Meteorology, Vol. 206, pp. 45-54
2013
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Multiple Endmember Spectral Mixture Analysis (MESMA) to map burn severity levels from Landsat images in Mediterranean countries
Remote Sensing of Environment, Vol. 136, pp. 76-88
2012
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Evaluation of potential of multiple endmember spectral mixture analysis (MESMA) for surface coal mining affected area mapping in different world forest ecosystems
Remote Sensing of Environment, Vol. 127, pp. 181-193