Open AccessMonitoring Drought using Multispectral Remote Sensing – A Case Study
Author(s) -
V. Vanajith,
Susan G. Daniel,
S. Rugma,
M. B. Dhanya
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1145/1/012086
Subject(s) - multispectral image , normalized difference vegetation index , remote sensing , vegetation index , vegetation (pathology) , multispectral pattern recognition , satellite , index (typography) , environmental science , high resolution , enhanced vegetation index , geography , geology , computer science , climate change , engineering , medicine , oceanography , pathology , aerospace engineering , world wide web
The significance of remote sensing observations in monitoring environmental phenomena is a well-established fact. High resolution satellite images acquired using multispectral sensors contribute greatly in this aspect. In the current study, an illustration of this factor is presented using high resolution multispectral data to analyse drought conditions over Solapur, India. Here, Sentinel-2 data is utilized to estimate indices like Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI) and Vegetation condition index (VCI), which help us to infer the drought situation in the region of interest.