RT info:eu-repo/semantics/conferenceObject
T1 Integration of DEM data with satellite imagery for forest change detection
A1 Álvarez Taboada, María Flor
A1 Rodríguez Pérez, José Ramón
A1 Asenjo Gómez, A
A2 Ingeniería CartograficaGeodesica y Fotogrametria
K1 Ingeniería agrícola
K1 Teledetección
K1 Pinus radiata
K1 DEM
AB In a standard supervised clasification, increases in land map classification accuracy have been obtained by including topographic attributes as inputs to the classification algorithm. In this study we investigate the potential of such data as a means to increase the accuracy of supervised forest change detection using Landsat 5 imagery in a target area located in El Bierzo (León). Pinus radiata plantations are the most important forest stands in this area, concening stocks and the economic interest of the owners and timber purchasers
YR 2013
FD 2013-05-29
LK http://hdl.handle.net/10612/2682
UL http://hdl.handle.net/10612/2682
NO ForestSat, 2005, Boras, Suecia
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 27-abr-2024