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Monitoring Drought using Multispectral Remote Sensing – A Case Study

Publication Type : Conference Paper

Publisher : IOP Publishing

Source : IOP Conference Series: Materials Science and Engineering, Volume 1145, International Conference on Chemical, Mechanical and Environmental Sciences (ICCMES 2021), IOP Publishing, 2021.

Url : https://iopscience.iop.org/article/10.1088/1757-899X/1145/1/012086/meta

Campus : Amritapuri

School : School of Physical Sciences

Center : Amrita Center for Wireless Networks and Applications (AmritaWNA)

Department : Physics

Verified : Yes

Year : 2021

Abstract : 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.

Cite this Research Publication : Vanajith, V., Daniel, S. G., Rugma, S., & Dhanya, M. (2021). "Monitoring Drought using Multispectral Remote Sensing–A Case Study". IOP Conference Series: Materials Science and Engineering, Volume 1145, International Conference on Chemical, Mechanical and Environmental Sciences (ICCMES 2021), IOP Publishing, 2021.

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