Topographic normalization of satellite imagery for image classification in northeast India

Auteur(s) et Affiliation(s)

BALAKRISHNA REDDY, M.

Divisional Forest Officer, Silviculture, Meghalaya, Shillong, Inde

BAIANTIMON BLAH,

Dep. of Geography, St Mary's College, Meghalaya, Shillong, Inde

Description :
IRS-LISS-III satellite imagery covering Nongkhyllem Wildlife Sanctuary area located within the Ri-Bhoi District of Meghalaya State, was used for analysis of the landcover pattern and vegetation types occurring there. A maximum likelihood classifier was used to generate a supervised classification into land-cover types and the vegetation types within the forested area. Sample field plots were located at 30 different places in the Sanctuary for classification accuracy assessment. The Normalized Difference Vegetation Index (NDVI) was also computed from LISS-III satellite imagery. A digital elevation model (DEM) of the Sanctuary was generated using a GIS. The DEM was used to test the hypothesis that its joint use with the satellite data would increase classification accuracy. This proved to be the case. Bivariate correlation analysis was performed between spectral and DEM variables to cross-check the results.

Type de document :
Article de périodique

Source :
Progress in physical geography, issn : 0309-1333, 2009, vol. 33, n°. 6, p. 815-836, nombre de pages : 22, Références bibliographiques : 3 p.

Date :
2009

Editeur :
Pays édition : Royaume-Uni, London, Sage Publications

Langue :
Anglais