10.741 a 10.750 de 14.533 Resultados
13 ene 2022 -
J Molec Liq 117856 2022
Texto plano - 4,1 KB -
MD5: 266a5e66c9ce656db7507560c4a89cc7
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13 ene 2022 - BURNED AREA REFERENCE DATABASE (BARD)
Stroppiana, Daniela; Sali, Matteo; Busetto, Lorenzo; Boschetti, Mirco; Franquesa Fuentetaja, Magi, 2022, "FireCCI_Africa_2019_S2: reference fire perimeters obtained from Sentinel-2 imagery over Africa continental for the year 2019", https://doi.org/10.21950/VKFLCH, e-cienciaDatos, V1
The FireCCI_Africa_2019_S2 reference dataset was derived from S2 images over a set of 50 tiles (sampling units) sampled following a design customized for the Sentinel tiling grid system and to represent major fire regimes of the African continent in the different ecoregions. Over... |
13 ene 2022 -
FireCCI_Africa_2019_S2: reference fire perimeters obtained from Sentinel-2 imagery over Africa continental for the year 2019
Archivo RAR - 813,7 MB -
MD5: 492cd73bc62e019817c11a1599d10e48
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13 ene 2022 -
FireCCI_Africa_2019_S2: reference fire perimeters obtained from Sentinel-2 imagery over Africa continental for the year 2019
Texto plano - 7,1 KB -
MD5: 0c63b9f11ba38bcf45ee9557640471ba
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12 ene 2022 - BURNED AREA REFERENCE DATABASE (BARD)
Franquesa Fuentetaja, Magi; Vanderhoof, M.K.; Stavrakoudis, D.; Gitas, I.; Roteta, E.; Padilla, M.; Chuvieco, Emilio, 2020, "BARD: a global and regional validation burned area database", https://doi.org/10.21950/BBQQU7, e-cienciaDatos, V7
The FireCCI project is part of the European Space Agency's (ESA) Climate Change Initiative (CCI) programme. The project focuses on the Fire Disturbance Essential Climate Variable(ECV) and specifically on 'Burned Area' (BA) products. The main objective of the FireCCI project is th... |
Texto plano - 7,6 KB -
MD5: 7580c7b799c78299e2035b3f32b26003
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12 ene 2022 -
J Molec Liq 117856 2022
Adobe PDF - 684,1 KB -
MD5: a787e2045d8384930b4d15c506891a11
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12 ene 2022 -
J Molec Liq 117856 2022
Adobe PDF - 941,4 KB -
MD5: 2332901cbd26d4a50d2a024e8a649271
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12 ene 2022 -
J Molec Liq 117856 2022
Hoja de cálculo MS Excel - 15,4 KB -
MD5: 19c8c1d542c58c6e76e95a6989410f1d
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12 ene 2022 -
J Molec Liq 117856 2022
Imagen TIFF - 358,3 KB -
MD5: 3bcb943dc8c3746b06fe6c1138727ae1
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