Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Raúl Hoffrén"'
Publikováno v:
Remote Sensing, Vol 16, Iss 18, p 3536 (2024)
In this study, we evaluated the capability of an unmanned aerial vehicle with a LiDAR sensor (UAV-LiDAR) to classify and map fuel types based on the Prometheus classification in Mediterranean environments. UAV data were collected across 73 forest plo
Externí odkaz:
https://doaj.org/article/68f7466506494334936fd1b4fa1cffe0
Publikováno v:
Fire, Vol 7, Iss 2, p 59 (2024)
The exposure of Mediterranean forests to large wildfires requires mechanisms to prevent and mitigate their negative effects on the territory and ecosystems. Fuel models synthesize the complexity and heterogeneity of forest fuels and allow for the und
Externí odkaz:
https://doaj.org/article/f5ad7b77741048969d3f07b43d93dc4e
Autor:
Fernando Pérez-Cabello, Cristian Iranzo, Raúl Hoffrén, María Adell, Antonio Montealegre, Raquel Montorio, Alberto García-Martín, Luis A. Longares
Publikováno v:
Environmental Sciences Proceedings, Vol 29, Iss 1, p 32 (2023)
The assessment of fire effects in Aleppo pine forests is crucial for guiding the recovery of burned areas. This study presents a methodology using UAV-LiDAR data to quantify malleability in three burned areas (1970, 1995, 2008) through the statistica
Externí odkaz:
https://doaj.org/article/34b32e61ef6d4752a8d04979d663eb0c
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
Publikováno v:
Remote Sensing, Vol 14, Iss 7, p 1708 (2022)
Recent studies have shown the importance of small-scale climate diversification and climate microrefugia for organisms to escape or suffer less from the impact of current climate change. These situations are common in topographically complex terrains
Externí odkaz:
https://doaj.org/article/6853b829b6604124a901d0d6b9ebd81d
Autor:
Darío Domingo, Juan de la Riva, María Teresa Lamelas, Alberto García-Martín, Paloma Ibarra, Maite Echeverría, Raúl Hoffrén
Publikováno v:
Remote Sensing, Vol 12, Iss 21, p 3660 (2020)
Mediterranean forests are recurrently affected by fire. The recurrence of fire in such environments and the number and severity of previous fire events are directly related to fire risk. Fuel type classification is crucial for estimating ignition and
Externí odkaz:
https://doaj.org/article/6dea7a4c0058464b916981870cb9c4e8
Autor:
Raúl Hoffrén, María B. García
Biodiversity loss is one of the most relevant consequences of climate change. Therefore, identifying areas and environmental features that allow certain organisms to be less exposed to the effects of the current global warming is priority for biodive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76c58dad81fd925a84d0635c2cb7c634
http://zaguan.unizar.es/record/121211
http://zaguan.unizar.es/record/121211
Publikováno v:
Remote Sensing Applications: Society and Environment. 31:100997
Sensors attached to unmanned aerial vehicles (UAVs) allow estimating a large number of forest attributes related to forest fuels. This study assesses photogrammetric point clouds and multispectral indices obtained from a fixed-wing UAV for the classi
Autor:
Raúl Hoffrén
Las crecidas e inundaciones fluviales constituyen uno de los riesgos naturales más importantes y extendidos del mundo. Por este motivo, su estudio y análisis representan una gran oportunidad de prevención y protección hacia el territorio. En este
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47d4196cbd19d4797aed5b3b6317f8e8
http://zaguan.unizar.es/record/121320
http://zaguan.unizar.es/record/121320
Autor:
Raúl Hoffrén, M.T. Echeverría, Juan de la Riva, Alberto García-Martín, Darío Domingo, Paloma Ibarra, María Teresa Lamelas
Publikováno v:
Zaguán. Repositorio Digital de la Universidad de Zaragoza
instname
Zaguán: Repositorio Digital de la Universidad de Zaragoza
Universidad de Zaragoza
Remote Sensing; Volume 12; Issue 21; Pages: 3660
Remote Sensing, Vol 12, Iss 3660, p 3660 (2020)
instname
Zaguán: Repositorio Digital de la Universidad de Zaragoza
Universidad de Zaragoza
Remote Sensing; Volume 12; Issue 21; Pages: 3660
Remote Sensing, Vol 12, Iss 3660, p 3660 (2020)
Mediterranean forests are recurrently affected by fire. The recurrence of fire in such environments and the number and severity of previous fire events are directly related to fire risk. Fuel type classification is crucial for estimating ignition and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8840a908f133e3f0340c30ed4c6600d
http://zaguan.unizar.es/record/96145
http://zaguan.unizar.es/record/96145