Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Linear spectral mixing model"'
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:
Egidio Arai, Edson Eyji Sano, Andeise Cerqueira Dutra, Henrique Luis Godinho Cassol, Tânia Beatriz Hoffmann, Yosio Edemir Shimabukuro
Publikováno v:
Remote Sensing, Vol 12, Iss 7, p 1152 (2020)
This paper presents a new method for rapid assessment of the extent of annual croplands in Brazil. The proposed method applies a linear spectral mixing model (LSMM) to PROBA-V time series images to derive vegetation, soil, and shade fraction images f
Externí odkaz:
https://doaj.org/article/87a830bf7dd8403197614b72e0eb81aa
Akademický článek
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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
Publikováno v:
Remote Sensing, Vol 11, Iss 9, p 1004 (2019)
The fraction of absorbed photosynthetically active radiation by vegetation (FAPAR) is a key variable in describing the light absorption ability of the vegetation canopy. Most global FAPAR products, such as MCD15A2H and GEOV1, correspond to FAPAR unde
Externí odkaz:
https://doaj.org/article/36ad58b7f044476688adfbd1985948c9
Autor:
Chengquan Huang, Zhihao Qin, Zhengjian Zhang, Jinhu Bian, Huaan Jin, Ainong Li, Wei Zhang, Guangbin Lei
Publikováno v:
Remote Sensing, Vol 5, Iss 10, Pp 5346-5368 (2013)
Remotely sensed data, with high spatial and temporal resolutions, can hardly be provided by only one sensor due to the tradeoff in sensor designs that balance spatial resolutions and temporal coverage. However, they are urgently needed for improving
Externí odkaz:
https://doaj.org/article/e7b3adba6eb14396a9640537404a1fb2
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
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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://explore.openaire.eu/search/publication?articleId=doajarticles::7c965ed471b8406ccef505ce8980db38
https://ieeexplore.ieee.org/document/9103191/
https://ieeexplore.ieee.org/document/9103191/
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.