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Aitor Bastarrika
Researcher at University of the Basque Country
Publications - 18
Citations - 1208
Aitor Bastarrika is an academic researcher from University of the Basque Country. The author has contributed to research in topics: Vegetation & Land cover. The author has an hindex of 10, co-authored 18 publications receiving 871 citations. Previous affiliations of Aitor Bastarrika include Commonwealth Scientific and Industrial Research Organisation.
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Development of a Sentinel-2 burned area algorithm: Generation of a small fire database for sub-Saharan Africa
TL;DR: In this paper, a locally adapted multitemporal two-phase burned area (BA) algorithm has been developed using as inputs Sentinel-2 MSI reflectance measurements in the short and near infrared wavebands plus the active fires detected by Terra and Aqua MODIS sensors.
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Mapping burned areas from Landsat TM/ETM+ data with a two-phase algorithm: Balancing omission and commission errors
TL;DR: In this paper, a map of burned area has been obtained from an automatic algorithm applied to a multitemporal series of Landsat TM/ETM+ images in two Mediterranean sites.
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Integrating geospatial information into fire risk assessment
Emilio Chuvieco,Emilio Chuvieco,Inmaculada Aguado,Inmaculada Aguado,Sara Jurdao,Sara Jurdao,M.L. Pettinari,Marta Yebra,Marta Yebra,Javier Salas,Javier Salas,Stijn Hantson,J. de la Riva,Paloma Ibarra,Marcos Rodrigues,M.T. Echeverría,Diego Azqueta,María Victoria Román,Aitor Bastarrika,Susana Martínez,C. Recondo,E. Zapico,F. J. Martínez-Vega +22 more
TL;DR: In this paper, a comprehensive fire risk assessment system is proposed, which makes extensive use of geographic information technology to evaluate risk conditions, including human factors, lightning probability and fuel moisture content of both dead and live fuels.
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Generation of fuel type maps from Landsat TM images and ancillary data in Mediterranean ecosystems
TL;DR: In this paper, the authors presented methods to generate fuel type maps from remote sensing data at a spatial and temporal scale adequate for operational fire management applications, using a fuel type classification system adapted to the ecological characteristics of the European Mediterranean basin.
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African burned area and fire carbon emissions are strongly impacted by small fires undetected by coarse resolution satellite data.
Rubén Ramo,Ekhi Roteta,Ioannis Bistinas,Ioannis Bistinas,Dave van Wees,Aitor Bastarrika,Emilio Chuvieco,Guido R. van der Werf +7 more
TL;DR: In this paper, the relevance of small fires was estimated by comparing a BA product generated from Sentinel-2 MSI images (20m spatial resolution) with a widely used global BA product based on MODIS images (500 m) focusing on sub-Saharan Africa.