Deep Learning for Monitoring Agricultural Drought in South Asia Using Remote Sensing Data

Deep Learning for Monitoring Agricultural Drought in South Asia Using Remote Sensing Data

Drought, a climate-related disaster impacting a variety of sectors, poses challenges for millions of people in South Asia. Accurate and complete drought information with a proper monitoring system is very important in revealing the complex nature of drought and its associated factors. In this regard...

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Bibliographic Details
Main Authors: Foyez Ahmed Prodhan, Jiahua Zhang, Fengmei Yao, Lamei Shi, Til Prasad Pangali Sharma, Da Zhang, Dan Cao, Minxuan Zheng, Naveed Ahmed, Hasiba Pervin Mohana
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Remote Sensing
Subjects:
deep learning
agricultural drought
South Asia
remote sensing
Online Access:https://www.mdpi.com/2072-4292/13/9/1715

Internet

https://www.mdpi.com/2072-4292/13/9/1715

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