Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/13124

Title: A remote sensing-based approach to estimating montado canopy density using the FCD model: a contribution to identifying HNV farmlands in southern Portugal
Authors: Godinho, Sérgio
Gil, Artur
Guiomar, Nuno
Neves, Nuno
Pinto-Correia, Teresa
Editors: Agroforest Syst
Keywords: Canopy density
FCD
Agroforestry
Montado
Dehesa
Advanced vegetation index
Issue Date: 19-Nov-2014
Publisher: Agroforest Syst
Citation: Godinho, S., Gil, A., Guiomar, N., Neves, N., Pinto-Correia, T., 2014. A remote sensing-based approach to estimating montado canopy density using the FCD model: a contribution to identifying HNV farmlands in southern Portugal. Agroforest Syst. DOI 10.1007/s10457-014-9769-3
Abstract: Mapping the land-cover pattern dominated by complex Mediterranean silvo-pastoral systems with an accuracy that enables precise monitoring of changing tree-cover density is still an open challenge. The main goal of this paper is to demonstrate the implementation and effectiveness of the Forest Canopy Density (FCD) model in producing a remote sensing-based and detailed map of montado canopy density over a large territory in southern Portugal. This map will make a fundamental contribution to accurately identifying and assessing High Nature Value farmland in montado areas. The results reveal that the FCD model is an effective approach to estimating the density classes of montado canopy (overall accuracy=78.0 %, kappa value=0.71). The study also shows that the FCD approach generated good user’s and producer’s accuracies for the three montado canopy-density classes. Globally, the results obtained show that biophysical indices such as the advanced vegetation index, the bare soil index, the shadow index and the thermal index are suitable for estimating and mapping montado canopy-density classes. These results constitute the first remote sensing-based product for mapping montado canopy density that has been developed using the FCD model. This research clearly demonstrates that this approach can be used in the context of Mediterranean agro-forestry systems.
URI: http://hdl.handle.net/10174/13124
Type: article
Appears in Collections:PAO - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
ICAAM - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

Files in This Item:

File Description SizeFormat
A remote sensing.pdf223.97 kBAdobe PDFView/Open
FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Dspace Dspace
DSpace Software, version 1.6.2 Copyright © 2002-2008 MIT and Hewlett-Packard - Feedback
UEvora B-On Curriculum DeGois