Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Ruben, Valbuena"'
Publikováno v:
Methods in Ecology and Evolution, Vol 14, Iss 7, Pp 1578-1586 (2023)
Abstract Remote sensing (RS) and geospatial sciences already amount to a long history of fostering research in topics related to ecology. Data and methods have mainly been subject to research and experiments, but trends are now emerging that suggest
Externí odkaz:
https://doaj.org/article/707c3645cce849419982f5b1adab8236
Autor:
Ruben Valbuena, Ana Hernando, Jose Antonio Manzanera, Eric B. Görgens, Danilo R. A. Almeida, Carlos A. Silva, Antonio García-Abril
Publikováno v:
European Journal of Remote Sensing, Vol 52, Iss 1, Pp 345-358 (2019)
The accurate prediction of forest above-ground biomass is nowadays key to implementing climate change mitigation policies, such as reducing emissions from deforestation and forest degradation. In this context, the coefficient of determination ($${R^2
Externí odkaz:
https://doaj.org/article/dc74c5ff351d415aaa265defa83f632b
Autor:
Ruben Valbuena, Ana Hernando, Jose Antonio Manzanera, Eugenio Martínez-Falero, Antonio García-Abril, Blas Mola-Yudego
Publikováno v:
International Journal of Digital Earth, Vol 11, Iss 12, Pp 1205-1218 (2018)
In the context of predicting forest attributes using a combination of airborne LIDAR and multispectral (MS) sensors, we suggest the inclusion of normalized difference vegetation index (NDVI) metrics along with the more traditional LIDAR height metric
Externí odkaz:
https://doaj.org/article/386a1023b82844e89996eef5bc377a0c
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:
Cristina Gómez, Pablo Alejandro, Txomin Hermosilla, Fernando Montes, Cristina Pascual, Luis Angel Ruiz, Flor Álvarez-Taboada, Mihai Tanase, Ruben Valbuena
Publikováno v:
Forest Systems, Vol 28, Iss 1, Pp eR001-eR001 (2019)
Forest ecosystems provide a host of services and societal benefits, including carbon storage, habitat for fauna, recreation, and provision of wood or non-wood products. In a context of complex demands on forest resources, identifying priorities for b
Externí odkaz:
https://doaj.org/article/373414fc042b4157a49d19e5bc1cc7f7
Autor:
Zhao Wang, Shuguang Liu, Ying-Ping Wang, Ruben Valbuena, Yiping Wu, Mykola Kutia, Yi Zheng, Weizhi Lu, Yu Zhu, Meifang Zhao, Xi Peng, Haiqiang Gao, Shuailong Feng, Yi Shi
Publikováno v:
Remote Sensing, Vol 13, Iss 2, p 168 (2021)
Gross primary production (GPP) determines the amounts of carbon and energy that enter terrestrial ecosystems. However, the tremendous uncertainty of the GPP still hinders the reliability of GPP estimates and therefore understanding of the global carb
Externí odkaz:
https://doaj.org/article/35ccebe7b8e343f4bc86d20813f29e9b
Autor:
Gabriel Atticciati Prata, Eben North Broadbent, Danilo Roberti Alves de Almeida, Joseph St. Peter, Jason Drake, Paul Medley, Ana Paula Dalla Corte, Jason Vogel, Ajay Sharma, Carlos Alberto Silva, Angelica Maria Almeyda Zambrano, Ruben Valbuena, Ben Wilkinson
Publikováno v:
Remote Sensing, Vol 12, Iss 24, p 4111 (2020)
Unmanned aerial vehicles (UAV) allow efficient acquisition of forest data at very high resolution at relatively low cost, making it useful for multi-temporal assessment of detailed tree crowns and forest structure. Single-pass flight plans provide ra
Externí odkaz:
https://doaj.org/article/08503e133a214037beaaeb99ad361d25
Autor:
Tristan R H Goodbody, Nicholas C Coops, Martin Queinnec, Joanne C White, Piotr Tompalski, Andrew T Hudak, David Auty, Ruben Valbuena, Antoine LeBoeuf, Ian Sinclair, Grant McCartney, Jean-Francois Prieur, Murray E Woods
Publikováno v:
Forestry: An International Journal of Forest Research.
Establishing field inventories can be labor intensive, logistically challenging and expensive. Optimizing a sample to derive accurate forest attribute predictions is a key management-level inventory objective. Traditional sampling designs involving p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::940dab6e427f30da4954d60f820c3fc8
https://doi.org/10.1093/forestry/cpac055
https://doi.org/10.1093/forestry/cpac055
Autor:
Rodrigo Vieira Leite, Carlos Alberto Silva, Midhun Mohan, Adrián Cardil, Danilo Roberti Alves de Almeida, Samuel de Pádua Chaves e Carvalho, Wan Shafrina Wan Mohd Jaafar, Juan Guerra-Hernández, Aaron Weiskittel, Andrew T. Hudak, Eben N. Broadbent, Gabriel Prata, Ruben Valbuena, Hélio Garcia Leite, Mariana Futia Taquetti, Alvaro Augusto Vieira Soares, Henrique Ferraço Scolforo, Cibele Hummel do Amaral, Ana Paula Dalla Corte, Carine Klauberg
Publikováno v:
Remote Sensing, Vol 12, Iss 21, p 3599 (2020)
Fast-growing Eucalyptus spp. forest plantations and their resultant wood products are economically important and may provide a low-cost means to sequester carbon for greenhouse gas reduction. The development of advanced and optimized frameworks for e
Externí odkaz:
https://doaj.org/article/a4f5228e9e4341fa916ae59aa763d2af
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