Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Darío Domingo"'
Autor:
Darío Domingo, Cristina Gómez, Francisco Mauro, Hermine Houdas, Gabriel Sangüesa-Barreda, Francisco Rodríguez-Puerta
Publikováno v:
Drones, Vol 8, Iss 3, p 75 (2024)
Pine species are a key social and economic component in Mediterranean ecosystems, where insect defoliations can have far-reaching consequences. This study aims to quantify the impact of pine processionary moth (PPM) on canopy structures, examining it
Externí odkaz:
https://doaj.org/article/0008a9bc7e6e41059438eb428b59baa8
Autor:
María Teresa Lamelas, Darío Domingo
Publikováno v:
Remote Sensing, Vol 15, Iss 18, p 4589 (2023)
Forest ecosystems cover 31% of the world [...]
Externí odkaz:
https://doaj.org/article/a958da6e87644bdeaf023b12051e8541
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 15, Iss 3, p 710 (2023)
Among the main objectives of Natura 2000 Network sites management plans is monitoring their conservation status under a reasonable cost and with high temporal frequency. The aim of this study is to assess the ability of single-photon light detection
Externí odkaz:
https://doaj.org/article/40c69828e4eb468883eaeb27022eeab7
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:
Darío Domingo, María Teresa Lamelas-Gracia, Antonio Luis Montealegre-Gracia, Juan de la Riva-Fernández
Publikováno v:
European Journal of Remote Sensing, Vol 50, Iss 1, Pp 384-396 (2017)
The knowledge of the forest biomass reduction produced by a wildfire can assist in the estimation of greenhouse gases to the atmosphere. This study focuses on the estimation of biomass losses and CO2 emissions by combustion of Aleppo pine forest in a
Externí odkaz:
https://doaj.org/article/1351a6b7af7d4f7d88c8b624dc6485b3
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
Publikováno v:
Remote Sensing, Vol 11, Iss 8, p 948 (2019)
Unmanned aerial systems (UASs) and photogrammetric structure from motion (SFM) algorithms can assist in biomass assessments in tropical countries and can be a useful tool in local greenhouse gas accounting. This study assessed the influence of image
Externí odkaz:
https://doaj.org/article/8880ce8280504ac0a64eb7be23d93b97
Autor:
Darío Domingo, Rafael Alonso, María Teresa Lamelas, Antonio Luis Montealegre, Francisco Rodríguez, Juan de la Riva
Publikováno v:
Remote Sensing, Vol 11, Iss 3, p 261 (2019)
This study assesses model temporal transferability using airborne laser scanning (ALS) data acquired over two different dates. Seven forest attributes (i.e. stand density, basal area, squared mean diameter, dominant diameter, tree dominant height, ti
Externí odkaz:
https://doaj.org/article/4d433cdca27149748e437f2c56290821