Zobrazeno 1 - 10
of 42
pro vyhledávání: '"VALDETE DUARTE"'
Autor:
YOSIO E. SHIMABUKURO, VALDETE DUARTE, JOÃO ROBERTO DOS SANTOS, ELIANA M. K. MELLO, JOSÉ CARLOS MOREIRA
Publikováno v:
Floresta e Ambiente, Vol 6, Iss 1, Pp 38-44 (2024)
RESUMO Este trabalho apresenta a seqüência metodológica para identificar e mapear as áreas desflorestadas, na Amazônia, através de processamento digital de imagens do sensor TM (Thematic Mapper) do satélite Landsat. O modelo linear de mistura
Externí odkaz:
https://doaj.org/article/a556b41ee1434390a7f52ce1de893338
Autor:
Khalil Ali Ganem, Andeise Cerqueira Dutra, Marceli Terra de Oliveira, Ramon Morais de Freitas, Rosana Cristina Grecchi, Rita Marcia da Silva Pinto Vieira, Egidio Arai, Fabrício Brito Silva, Cláudia Bloisi Vaz Sampaio, Valdete Duarte, Yosio Edemir Shimabukuro
Publikováno v:
Revista Brasileira de Cartografia, Vol 72, Pp 829-854 (2020)
O bioma Caatinga representa cerca de 10% do território nacional e tem uma população estimada em 28 milhões de habitantes. Sua vegetação arbóreo-arbustiva, adaptada às condições de semiaridez, exerce um papel fundamental na manutenção do b
Externí odkaz:
https://doaj.org/article/3a9add14a3494b3f883a1c78efeb853d
Autor:
Yosio Edemir Shimabukuro, Egidio Arai, Valdete Duarte, Andeise Cerqueira Dutra, Henrique Luis Godinho Cassol, Edson Eyji Sano, Tania Beatriz Hoffmann
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 3409-3420 (2020)
Brazil, with more than 8 million km2, presents six different biomes, ranging from natural grasslands (Pampa biome) to tropical rainfall forests (Amazônia biome), with different land-use types (mostly pasturelands and croplands) and pressures (mainl
Externí odkaz:
https://doaj.org/article/18a6f9519c5743468c1c8d6d8a4f4975
Autor:
Yosio Edemir Shimabukuro, Andeise Cerqueira Dutra, Egidio Arai, Valdete Duarte, Henrique Luís Godinho Cassol, Gabriel Pereira, Francielle da Silva Cardozo
Publikováno v:
Remote Sensing, Vol 12, Iss 22, p 3827 (2020)
Quantifying forest fires remain a challenging task for the implementation of public policies aimed to mitigate climate change. In this paper, we propose a new method to provide an annual burned area map of Mato Grosso State located in the Brazilian A
Externí odkaz:
https://doaj.org/article/978eb98fb5b94391b607269c1020984e
Autor:
Yosio Edemir Shimabukuro, Egidio Arai, Liana Oighenstein Anderson, Luiz Eduardo Oliveira e Cruz de Aragão, Valdete Duarte
Publikováno v:
Revista Brasileira de Cartografia, Vol 69, Iss 1 (2017)
The objective of this study was to assess the extent of burned forest in 2010 in Mato Grosso State, located in the southern Brazilian Amazon region. Landsat TM images were acquired over the 2010 dry season. Overall, the approach consisted on mapping
Externí odkaz:
https://doaj.org/article/90032ba40dd946fb97e489e8a7cb171f
Autor:
Yosio Edemir Shimabukuro, Antonio Roberto Formaggio, Antonio Henrique Correia, Valdete Duarte
Publikováno v:
Revista Ambiente & Água, Vol 1, Iss 2, Pp 52-64 (2007)
Vegetation indices (NDVI and EVI) obtained from MODIS products (250 m and 500m, surface reflectance) were evaluated in relation to the possibility of detecting and monitoring deforestation areas in Amazonia. A new vegetation index, the DNRG (Normaliz
Externí odkaz:
https://doaj.org/article/8ece5701c5ce4a31985eec84f46dd595
Autor:
Egídio Arai, Ramon Freitas, Dalton Valeriano, Liana Anderson, Valdete Duarte, Yosio Shimabukuro, Bernardo Friedrich Rudorff, Maurício Moreira
Publikováno v:
Revista Ambiente & Água, Vol 1, Iss 1, Pp 37-47 (2007)
The objective of this paper is to provide near real time information about deforestation detection (DETER) in the entire Brazilian Amazon using MODIS high temporal resolution images. It is part of the operational deforestation monitoring project to e
Externí odkaz:
https://doaj.org/article/252ff8db82094cb4b0cf590abff76704
Autor:
Valdete Duarte, Yosio Edemir Shimabukuro, Antonio Roberto Formaggio, Antonio Henrique Correia
Publikováno v:
Revista Ambiente & Água, Vol 1, Iss 2, Pp 52-64 (2006)
Os índices de vegetação NDVI e EVI obtidos a partir de dados MODIS (25m e 50m, reflectância de superfície) foram avaliados com relação à possibilidade de detectar e monitorar áreas de desmatamentos na Amazônia. Além disso, foi também prop
Externí odkaz:
https://doaj.org/article/cceef67b5b644ee59c1d0b91ddbcc7ab
Autor:
Maurício A. Moreira, Bernardo F. T. Rudorff, Ramon M. de Freitas, Dalton M. Valeriano, Egídio Arai, Liana O. Anderson, Valdete Duarte, Yosio E. Shimabukuro
Publikováno v:
Revista Ambiente & Água, Vol 1, Iss 1, Pp 37-47 (2006)
The objective of this paper is to provide near real time information about deforestation detection (DETER) in the entire Brazilian Amazon using MODIS high temporal resolution images. It is part of the operational deforestation monitoring project to e
Externí odkaz:
https://doaj.org/article/79b1dc725d524a338dfaa9805c3f5649
Autor:
Yosio E. Shimabukuro, Egidio Arai, Gabriel M. da Silva, Andeise C. Dutra, Guilherme Mataveli, Valdete Duarte, Paulo R. Martini, Henrique L. G. Cassol, Danilo S. Ferreira, Luís R. Junqueira
Publikováno v:
Forests; Volume 13; Issue 10; Pages: 1716
This article presents a method, based on orbital remote sensing, to map the extent of forest plantations in São Paulo State (Southeast Brazil). The proposed method uses the random forest machine learning algorithm available on the Google Earth Engin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8149f1ba64c387f4fc897c113203344