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(Article of periodic en Anglais - 2009)

Document title

Topographic normalization of satellite imagery for image classification in northeast India

Authors(s) and Affiliation(s)

BALAKRISHNA REDDY M. (1) ; BAIANTIMON BLAH (2) ;
(1) Divisional Forest Officer, Silviculture, Meghalaya, Shillong, INDE
(2) Dep. of Geography, St Mary's College, Meghalaya, Shillong, INDE

Abstract

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

Source

Article of periodic

published at : Progress in physical geography / ISSN 0309-1333 / CODEN PPGEEC

Editor : Sage Publications, London - ROYAUME-UNI (1977)

Millesime : 2009, vol. 33, no6 [pp. 815-836]

Bibliographic references : 3 p.

Collation : 4 fig., 5 tabl.

Language

Anglais

INIST-CNRS, Cote INIST : 14648 A

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1177/0309133309351048

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2010
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