Open AccessMapping the vegetation soil and water region analysis of Tuticorin district using Landsat images
Author(s) -
J Zabel Cynthia,
M Suguna,
S. Senthil
Publication year - 2017
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i1.3.10663
Subject(s) - vegetation (pathology) , remote sensing , environmental science , satellite imagery , land cover , enhanced vegetation index , soil water , satellite , normalized difference vegetation index , soil map , hydrology (agriculture) , soil science , vegetation index , land use , leaf area index , geology , ecology , medicine , pathology , aerospace engineering , engineering , biology , geotechnical engineering
Mapping of water bodies, soil and vegetation region from satellite imagery has been widely explored in the recent past. Several approaches have been developed to detect water bodies and identify the soil types from different satellite imagery varying in spatial, spectral, and temporal characteristics. Due to the introduction of a New Operational Land Imager (OLI) sensor on Landsat 8 with a high spectral resolution and improved signal-to-noise ratio, the quality of imagery sensed is increased. Its imagery produces a better result in classifying the soil and water regions. The current study puts forward an approach to map water bodies, soil and vegetation region from a Landsat satellite imagery using the various processing models. In this study, to identify the water region and soil region, we go with water index, vegetation index and soil index measures. By using reflectance bands, it is easy to analyze the water, vegetation and soil regions. The proposed method accurately and quickly discriminated the water, vegetation and soil region from other land cover features.