Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jaz Stoddart"'
Autor:
Jaz Stoddart, Danilo Roberti Alves de Almeida, Carlos Alberto Silva, Eric Bastos Görgens, Michael Keller, Ruben Valbuena
Publikováno v:
Remote Sensing, Vol 14, Iss 4, p 933 (2022)
Current LiDAR-based methods for detecting forest change use a host of statistically selected variables which typically lack a biological link with the characteristics of the ecosystem. Consensus of the literature indicates that many authors use LiDAR
Externí odkaz:
https://doaj.org/article/275bdf26e21c4c88abc3be20827c4221
Autor:
Franciel Eduardo Rex, Carlos Alberto Silva, Ana Paula Dalla Corte, Carine Klauberg, Midhun Mohan, Adrián Cardil, Vanessa Sousa da Silva, Danilo Roberti Alves de Almeida, Mariano Garcia, Eben North Broadbent, Ruben Valbuena, Jaz Stoddart, Trina Merrick, Andrew Thomas Hudak
Publikováno v:
Remote Sensing, Vol 12, Iss 9, p 1498 (2020)
Accurately quantifying forest aboveground biomass (AGB) is one of the most significant challenges in remote sensing, and is critical for understanding global carbon sequestration. Here, we evaluate the effectiveness of airborne LiDAR (Light Detection
Externí odkaz:
https://doaj.org/article/423aa9411fbe4d62a336bd70bf0dbbec
Autor:
Mariano García, Eben N. Broadbent, Vanessa Sousa da Silva, Ana Paula Dalla Corte, Franciel Eduardo Rex, Danilo Roberti Alves de Almeida, Adrián Cardil, Ruben Valbuena, Carlos A. Silva, Andrew T. Hudak, Trina Merrick, Carine Klauberg, Jaz Stoddart, Midhun Mohan
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Remote Sensing; Volume 12; Issue 9; Pages: 1498
BASE-Bielefeld Academic Search Engine
Remote Sensing, Vol 12, Iss 1498, p 1498 (2020)
Universidade de São Paulo (USP)
instacron:USP
Remote Sensing; Volume 12; Issue 9; Pages: 1498
BASE-Bielefeld Academic Search Engine
Remote Sensing, Vol 12, Iss 1498, p 1498 (2020)
Accurately quantifying forest aboveground biomass (AGB) is one of the most significant challenges in remote sensing, and is critical for understanding global carbon sequestration. Here, we evaluate the effectiveness of airborne LiDAR (Light Detection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2971bd27c14cf1d5450a571656ff1a36
Autor:
Matheus Henrique Nunes, Jaz Stoddart, David A. Coomes, Aland H. Y. Chan, Litong Chen, Sacha Khoury, Yi Zhang
Publikováno v:
Remote Sensing of Environment. 269:112767
Field spectroscopy is a powerful tool for monitoring leaf functional traits in situ, but it remains unclear whether universal statistical models can be developed to predict traits from spectral information, or whether re-calibration is necessary as c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b10329a3f85aeae7a826e9f900b849ee
https://doi.org/10.1016/j.rse.2021.112767
https://doi.org/10.1016/j.rse.2021.112767
Autor:
André Hirsch, Bruno Araujo Furtado de Mendonça, Franciel Eduardo Rex, Máira Beatriz Teixeira da Costa, Eben N. Broadbent, Anne Laura da Silva, Veraldo Liesenberg, Andrew T. Hudak, Samuel de Pádua Chaves e Carvalho, Caio Hamamura, Cibele Hummel do Amaral, Angelica M. Almeyda Zambrano, Luiz E. O. C. Aragão, Manuel Eduardo Ferreira, Celso Henrique Leite Silva Junior, Ruben Valbuena, Eraldo Aparecido Trondoli Matricardi, Jaz Stoddart, Carine Klauberg, Rodrigo Vieira Leite, Ana Paula Dalla Corte, Lucas Ruggeri Ré Y. Goya, Carlos A. Silva, Bruno Lopes de Faria, Jingjing Liang, Gustavo Eduardo Marcatti, Adrián Cardil, Victor Almeida Cordeiro, Midhun Mohan, Danilo Roberti Alves de Almeida
Publikováno v:
Forest Ecology and Management. 491:119155
Tropical savanna ecosystems play a major role in the seasonality of the global carbon cycle. However, their ability to store and sequester carbon is uncertain due to combined and intermingling effects of anthropogenic activities and climate change, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a8228f695ee19b5f8f7007d2f236caf
https://doi.org/10.1016/j.foreco.2021.119155
https://doi.org/10.1016/j.foreco.2021.119155