Joshua
Lizundia Loiola
Publicaciones en las que colabora con Joshua Lizundia Loiola (14)
2022
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Global burned area mapping from Sentinel-3 Synergy and VIIRS active fires
Remote Sensing of Environment, Vol. 282
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Using long temporal reference units to assess the spatial accuracy of global satellite-derived burned area products
Remote Sensing of Environment, Vol. 269
2021
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Development of a consistent global long-term burned area product (1982–2018) based on AVHRR-LTDR data
International Journal of Applied Earth Observation and Geoinformation, Vol. 103
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Implementation of the burned area component of the copernicus climate change service: from modis to olci data
Remote Sensing, Vol. 13, Núm. 21
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Validation of low spatial resolution and no-dichotomy global long-Term burned area product by Pareto boundary
Proceedings of SPIE - The International Society for Optical Engineering
2020
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A spatio-temporal active-fire clustering approach for global burned area mapping at 250 m from MODIS data
Remote Sensing of Environment, Vol. 236
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Correction: Global detection of long-term (1982-2017) burned area with AVHRR-LTDR data. [Remote sensing (2019), 11, (2079)] doi: 10.3390/rs11182079
Remote Sensing
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Temporal anomalies in burned area trends: Satellite estimations of the amazonian 2019 fire crisis
Remote Sensing
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Wildfires: Australia needs national monitoring agency
Nature
2019
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20171001-ESACCI-L3S_FIRE-BA-SAR-AREA_h25v19-fv1.0.tar.gz
e-cienciaDatos
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FireCCIS1SA10: ESA Fire Climate Change Initiative (Fire_cci) - Sentinel-1 Burned Area product for a Large Demonstrator Area in South America
e-cienciaDatos
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Global detection of long-term (1982-2017) burned area with AVHRR-LTDR data
Remote Sensing, Vol. 11, Núm. 18
2018
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Análisis global de áreas quemadas para la modelización climática: experiencias del proyecto Fire _cci
Tecnologías de la información geográfica: perspectivas multidisciplinares en la sociedad del conocimiento
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Generation and analysis of a new global burned area product based on MODIS 250 m reflectance bands and thermal anomalies
Earth System Science Data, Vol. 10, Núm. 4, pp. 2015-2031