Evaluation of the runoff potential in high relief semi-arid regions using remote sensing data: application to Bolivia
The objective of this study is to develop a methodology based on the combined use of optical and radar images for evaluating the runoff potential in high relief, semi-arid environments. We present a method based on the use of multisource satellite images (RADARSAT-1 SAR, Landsat-7 ETM + and SPOT-4 H...
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Published in | International journal of remote sensing Vol. 25; no. 2; pp. 423 - 435 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Abingdon
Taylor & Francis Group
01.01.2004
Taylor and Francis |
Subjects | |
Online Access | Get full text |
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Summary: | The objective of this study is to develop a methodology based on the combined use of optical and radar images for evaluating the runoff potential in high relief, semi-arid environments. We present a method based on the use of multisource satellite images (RADARSAT-1 SAR, Landsat-7 ETM
+
and SPOT-4 HRV) for determining land use and the vegetation cover ratio in order to evaluate the runoff potential in Bolivia. Various band combinations provide classification rates greater than 80% for the mapping of land use. Basically, in over 83% of the watershed, the runoff potential is greater than 0.5 on a scale from 0 to 1.
Résumé.La contribution fondamentale de l'étude est le développement d'une méthodologie permettant l'utilisation conjointe d'images optique et radar dans l'évaluation du potentiel de ruissellement en milieu semi-aride de forte énergie de relief. Nous avons conçu une méthode d'exploitation d'images satellitaires multisources (RSO de RADARSAT-1, ETM
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de Landsat-7 et HRV de SPOT-4) afin d'évaluer le potentiel de ruissellement en Bolivie. Plusieurs combinaisons de bandes donnent des taux de classification supérieurs à 80% pour la cartographie de l'occupation du sol. Sur 83% du bassin, le potentiel de ruissellement est supérieur à 0.5 sur un maximum de 1. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 0143-1161 1366-5901 |
DOI: | 10.1080/0143116031000102421 |