Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Gabriel M. da Silva"'
Autor:
Yosio E. Shimabukuro, Egidio Arai, Gabriel M. da Silva, Tânia B. Hoffmann, Valdete Duarte, Paulo R. Martini, Andeise Cerqueira Dutra, Guilherme Mataveli, Henrique L. G. Cassol, Marcos Adami
Publikováno v:
Forests, Vol 14, Iss 8, p 1669 (2023)
This work aims to develop a new method to map Land Use and Land Cover (LULC) classes in the São Paulo State, Brazil, using Landsat-8 Operational Land Imager (OLI) data. The novelty of the proposed method consists of selecting the images based on the
Externí odkaz:
https://doaj.org/article/8fc075b309a744629cfd64ed11aa1918
Autor:
Gabriel M. da Silva, Marcos Adami, David Galbraith, Rodrigo G. M. Nascimento, Yunxia Wang, Yosio E. Shimabukuro, Fabiano Emmert
Publikováno v:
Forests, Vol 14, Iss 5, p 924 (2023)
Secondary forests provide essential ecosystem services, especially in helping to mitigate climate change with the storage of carbon in the aboveground biomass of tree species. In this context, the present research aimed to analyze the spatial distrib
Externí odkaz:
https://doaj.org/article/aa6e9a67a82143cfae744e51bf59d38e
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, Vol 13, Iss 10, p 1716 (2022)
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://doaj.org/article/9b3b8df21e7149bd91effe68d1ca97e0
Publikováno v:
Biophysical Journal. 122:12a
Publikováno v:
2019 IEEE 15th Brazilian Power Electronics Conference and 5th IEEE Southern Power Electronics Conference (COBEP/SPEC).
This paper addresses the modeling and control of a novel Forward dc-dc converter with multiplexer for active voltage cell balancing of a bank of Lithium-Ion batteries. The modeling of the converter is developed using a state-space averaging model. Th