Drought classification and prediction with satellite image-based indices using variants of deep learning models

Author:

Chaudhari ShilpaORCID,Sardar Vandana,Ghosh Prosenjit

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems

Reference48 articles.

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3. Kim S, Nho H, Lee J, Kim J, Kim J (2020) Remote sensing and geo-spatial information utilization for managing disaster in korean peninsula. Korean J Remote Sens 36(5–4):1139–1151

4. Long L, He F, Liu H (2021) The use of remote sensing satellite using deep learning in emergency monitoring of high-level landslides disaster in Jinsha River. J Supercomput 77:1–17

5. Dhanaraj K, Angadi DP (2021) Urban expansion quantification from remote sensing data for sustainable land-use planning in Mangaluru, India. Remote Sens Appl Soc Environ 23:100602

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