Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Alberto García-Martín"'
Autor:
Susana Sáez-Gutiérrez, Eduardo José Fernández-Rodríguez, Celia Sánchez-Gómez, Alberto García-Martín, Fausto José Barbero-Iglesias, Natalia Sánchez Aguadero
Publikováno v:
PLoS ONE, Vol 19, Iss 3, p e0300898 (2024)
BackgroundAgeing entails changes in complex cognitive functions that lead to a decrease in autonomy and quality of life. Everyday cognition is the ability to solve cognitively complex problems in the everyday world, enabling instrumental activities o
Externí odkaz:
https://doaj.org/article/8493698aa4054b8698f28a9a36457c71
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:
Revista de Teledetección, Vol 0, Iss 59, Pp 59-70 (2022)
A precise estimation of agricultural production provides relevant information for upcoming seasons, and helps in the assessment of crop losses before harvest in case of adverse situations. The objective of this work is to explore the development of a
Externí odkaz:
https://doaj.org/article/42f74f0af0454677a8dc4906dff82e19
Autor:
Darío Domingo, Antonio Luis Montealegre, María Teresa Lamelas, Alberto García-Martín, Juan de la Riva, Francisco Rodríguez, Rafael Alonso
Publikováno v:
GIScience & Remote Sensing, Vol 56, Iss 8, Pp 1210-1232 (2019)
The estimation of forest residual biomass is of interest to assess the availability of green energy resources. This study relates the Pinus halepensis Miller forest residual biomass (FRB), estimated in 192 field plots, to several independent variable
Externí odkaz:
https://doaj.org/article/f285449b896249279f0f11e5171d8aaf
Autor:
Antonio Luis Montealegre-Gracia, María Teresa Lamelas-Gracia, Alberto García-Martín, Juan de la Riva-Fernández, Francisco Escribano-Bernal
Publikováno v:
GIScience & Remote Sensing, Vol 54, Iss 5, Pp 721-740 (2017)
The aim of study is to map the carbon dioxide (CO2) emission of the aboveground tree biomass (AGB) in case of a fire event. The suitability of low point density, discrete, multiple-return, Airborne Laser Scanning (ALS) data and the influence of sever
Externí odkaz:
https://doaj.org/article/223db1806b3b4d9586bdaf3e0e3f3f09
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
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:
Lidia Vlassova, Fernando Pérez-Cabello, Marcos Rodrigues Mimbrero, Raquel Montorio Llovería, Alberto García-Martín
Publikováno v:
Remote Sensing, Vol 6, Iss 7, Pp 6136-6162 (2014)
The paper assesses spatio-temporal patterns of land surface temperature (LST) and fire severity in the Las Hurdes wildfire of Pinus pinaster forest, which occurred in July 2009, in Extremadura (Spain), from a time series of fifteen Landsat 5 TM image
Externí odkaz:
https://doaj.org/article/09951746cda5424e8d04ee6baf7725ee
Publikováno v:
Geospatial Health, Vol 8, Iss 1, Pp 1-12 (2013)
The modelling of habitat suitability for parasites is a growing area of research due to its association with climate change and ensuing shifts in the distribution of infectious diseases. Such models depend on remote sensing data and require accurate,
Externí odkaz:
https://doaj.org/article/50f830e867c64ba59e9d54fbbee4abd4