English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/21182
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:
Title

Identifying erosion areas at basin scale using remote sensing data and GIS: a case study in a geologically complex mountain basin in the Spanish Pyrenees

AuthorsBeguería, Santiago
Keywordserosion
sediment yield
mountain areas
data fusion
multinomial logistic
Issue DateOct-2006
PublisherTaylor & Francis
CitationInternational Journal of Remote Sensing 27 (20): 4585-4598 (2006)
AbstractInventory and monitoring of eroded areas at basin scale (Mm2) can be very useful for environmental planning and can help to reduce land degradation and sediment yield to streams. Combined use of remote sensing images and auxiliary geocoded data has been widely used for mapping various environmental features, including surface erosion. Here an example is presented in the Yesa reservoir catchment in the Spanish Pyrenees. Several combinations of radiometric data (a sequence of images from different seasons of the year) and other geocoded information, including topographical (altitude and slope) and geological maps, were compared in their ability to predict previously identified erosive features. Multinomial logistic regression was used as the classification method. The datasets were compared in terms of classification error statistics (sensitivity and specificity) using an independent random sample. The incorporation of lithological information improved the discrimination of eroded areas, but the same did not happen in the case of topographical information. Two final maps of eroded areas were obtained applying an equal predicted area rule and an equal error rate rule.
DescriptionThe definitive version is available at: http://www.informaworld.com/ 31 Pag., 4 Tabl., 2 Fig.
Publisher version (URL)http://www.informaworld.com/smpp/ftinterface~content=a758286335~fulltext=713240928
URIhttp://hdl.handle.net/10261/21182
DOI10.1080/01431160600735640
ISSN0143-1161
E-ISSN1366-5901
Appears in Collections:(EEAD) Artículos
(IPE) Artículos
Files in This Item:
File Description SizeFormat 
BegueriaS_IntJRemotSensing_2006.pdf898,48 kBAdobe PDFThumbnail
View/Open
Show full item record
Review this work
 

Related articles:


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.