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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLVIII-3-2024
https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-345-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-345-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
07 Nov 2024
| 07 Nov 2024
Two decades of fires in the Brazilian Amazon and the differences in patterns between open and forest vegetation
Cassiano G. Messias
National Institute for Space Research (INPE) , Brazil
Mariane S. Reis
National Institute for Space Research (INPE) , Brazil
Vagner L. Camilotti
National Institute for Space Research (INPE) , Brazil
Luciana Soler
National Institute for Space Research (INPE) , Brazil
Silvana Amaral
National Institute for Space Research (INPE) , Brazil
Deborah L. Correia-Lima
National Institute for Space Research (INPE) , Brazil
Luciana V. Gatti
National Institute for Space Research (INPE) , Brazil
Marcos Adami
National Institute for Space Research (INPE) , Brazil
Haron Xaud
Brazilian Agricultural Research Corporation (EMBRAPA RORAIMA), Brazil
Maristela Xaud
Brazilian Agricultural Research Corporation (EMBRAPA RORAIMA), Brazil
João Felipe S. K. C. Pinto
National Institute for Space Research (INPE) , Brazil
Gilberto E. T. Oliveira
National Institute for Space Research (INPE) , Brazil
Luiz Henrique Gusmão
National Institute for Space Research (INPE) , Brazil
Guilherme S. Pinto
National Institute for Space Research (INPE) , Brazil
Noeli A. P. Moreira
National Institute for Space Research (INPE) , Brazil
Letícia P. Perez
National Institute for Space Research (INPE) , Brazil
Manoel R. R. Neto
National Institute for Space Research (INPE) , Brazil
Luis E. P. Maurano
National Institute for Space Research (INPE) , Brazil
Cláudio A. Almeida
National Institute for Space Research (INPE) , Brazil
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 387–392, https://doi.org/10.5194/isprs-archives-XLII-1-387-2018, https://doi.org/10.5194/isprs-archives-XLII-1-387-2018, 2018
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