Assessing GEDI-NASA system for forest fuels classification using machine learning techniques

Autor: Raúl Hoffrén, María Teresa Lamelas, Juan de la Riva, Darío Domingo, Antonio Luis Montealegre, Alberto García-Martín, Sergio Revilla

Publikováno v: International Journal of Applied Earth Observations and Geoinformation, Vol 116, Iss , Pp 103175- (2023)

Identification of forest fuels is a key step for forest fire prevention since they provide valuable information of fire behavior. This study assesses NASA’s Global Ecosystem Dynamics Investigation (GEDI) system to classify fuel types in Mediterrane

Externí odkaz: https://doaj.org/article/b2f6ce56f28b4711af4ff8d0a51d6ecc

Assessing the Potential of the DART Model to Discrete Return LiDAR Simulation—Application to Fuel Type Mapping

Autor: Sergio Revilla, María Teresa Lamelas, Darío Domingo, Juan de la Riva, Raquel Montorio, Antonio Luis Montealegre, Alberto García-Martín

Publikováno v: Remote Sensing, Vol 13, Iss 3, p 342 (2021)

Fuel type is one of the key factors for analyzing the potential of fire ignition and propagation in agricultural and forest environments. The increase of three-dimensional datasets provided by active sensors, such as LiDAR (Light Detection and Rangin

Externí odkaz: https://doaj.org/article/7615e7d75c964255b5ad0851612a3f6a

Assessing the potential of the dart model to discrete return lidar simulation—application to fuel type mapping

Autor: Antonio Luis Montealegre, Sergio Revilla, Darío Domingo, Raquel Montorio, Alberto García-Martín, María Teresa Lamelas, Juan de la Riva

Publikováno v: Zaguán: Repositorio Digital de la Universidad de Zaragoza
Universidad de Zaragoza
Zaguán. Repositorio Digital de la Universidad de Zaragoza
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Remote Sensing; Volume 13; Issue 3; Pages: 342
Remote Sensing, Vol 13, Iss 342, p 342 (2021)

Fuel type is one of the key factors for analyzing the potential of fire ignition and propagation in agricultural and forest environments. The increase of three-dimensional datasets provided by active sensors, such as LiDAR (Light Detection and Rangin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4db43a0ab249e0a13f57026ef70b9df
http://zaguan.unizar.es/record/99731