- -

An object-based approach for mapping forest structural types based on low-density LiDAR and multispectral imagery

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

An object-based approach for mapping forest structural types based on low-density LiDAR and multispectral imagery

Show full item record

Ruiz Fernández, LÁ.; Recio Recio, JA.; Crespo-Peremarch, P.; Sapena, M. (2018). An object-based approach for mapping forest structural types based on low-density LiDAR and multispectral imagery. Geocarto International. 33(5):443-457. doi:10.1080/10106049.2016.1265595

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/109833

Files in this item

Item Metadata

Title: An object-based approach for mapping forest structural types based on low-density LiDAR and multispectral imagery
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría - Departament d'Enginyeria Cartogràfica, Geodèsia i Fotogrametria
Issued date:
Abstract:
[EN] Mapping forest structure variables provides important information for the estimation of forest biomass, carbon stocks, pasture suitability or for wildfire risk prevention and control. The optimization of the prediction ...[+]
Subjects: Fuel strata , Object-based classification , LiDAR , WorldView-2 , Sentinel-2
Copyrigths: Embargado
Source:
Geocarto International. (issn: 1010-6049 )
DOI: 10.1080/10106049.2016.1265595
Publisher:
Taylor & Francis
Publisher version: https://doi.org/10.1080/10106049.2016.1265595
Thanks:
This work was supported by the Spanish Ministerio de Economia y Competitividad and FEDER under [grant number CGL2013-46387-C2-1-R]; Fondo de Garantia Juvenil under [contract number PEJ-2014-A-45358].
Type: Artículo

This item appears in the following Collection(s)

Show full item record