Share Email Print

Proceedings Paper

Optimal land use/cover classification using remote sensing imagery for hydrological modelling in a Himalayan watershed
Author(s): Sameer Saran; Geert Sterk; Suresh Kumar
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Land use/cover is an important watershed surface characteristic that affects surface runoff and erosion. Many of the available hydrological models divide the watershed into Hydrological Response Units (HRU), which are spatial units with expected similar hydrological behaviours. The division into HRU's requires good-quality spatial data on land use/cover. This paper presents different approaches to attain an optimal land use/cover map based on remote sensing imagery for a Himalayan watershed in northern India. First digital classifications using maximum likelihood classifier (MLC) and a decision tree classifier were applied. The results obtained from the decision tree were better and even improved after post classification sorting. But the obtained land use/cover map was not sufficient for the delineation of HRUs, since the agricultural land use/cover class did not discriminate between the two major crops in the area i.e. paddy and maize. Therefore we adopted a visual classification approach using optical data alone and also fused with ENVISAT ASAR data. This second step with detailed classification system resulted into better classification accuracy within the 'agricultural land' class which will be further combined with topography and soil type to derive HRU's for physically-based hydrological modelling.

Paper Details

Date Published: 9 October 2007
PDF: 10 pages
Proc. SPIE 6742, Remote Sensing for Agriculture, Ecosystems, and Hydrology IX, 67420N (9 October 2007); doi: 10.1117/12.769056
Show Author Affiliations
Sameer Saran, Wageningen Univ. (Netherlands)
Geert Sterk, Wageningen Univ. (Netherlands)
Suresh Kumar, Indian Institute of Remote Sensing (India)

Published in SPIE Proceedings Vol. 6742:
Remote Sensing for Agriculture, Ecosystems, and Hydrology IX
Christopher M. U. Neale; Manfred Owe; Guido D'Urso, Editor(s)

© SPIE. Terms of Use
Back to Top