Open AccessEvaluation of Various Vegetation Indices for Multispectral Satellite Images
Author(s) -
L. Gowri,
Dr.K.R. Manjula
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.j9195.0881019
Subject(s) - multispectral image , remote sensing , vegetation (pathology) , normalized difference vegetation index , vegetation index , satellite , spectral bands , spectral signature , spectral analysis , satellite imagery , environmental science , computer science , geology , engineering , physics , medicine , oceanography , pathology , climate change , aerospace engineering , quantum mechanics , spectroscopy
Vegetation indices play a predominant role in the field of Remote processing systems which assimilate vital multispectral images. The digital numbers identify the spectral information in one or more spectral bands. It focuses mainly on two or more spectral regions and obtains different types of surfaces like vegetation, built-up, bare soil and water area. Different types of vegetation can be studied and analyzed using LANDSAT images. In this paper, comparison has been made on ten major vegetation indices such as RVI, DVI, NDVI, TNDVI, NDWI, MNDWI, NDBI, UI, SAVI, and NDMI using different spectral bands and different features are detected and extracted with the help of ArcGIS and MATLAB tools. This study reveals better classification accuracy.