Development of drought indicators Using Machine Learning Algorithm: A case study of Zambia
The overarching objective of this study is to address this problem through the development of a drought monitoring and forecasting system, leveraging the synergistic use of Principal Component Analysis (PCA) and convolutional long short term memory (ConvLSTM) over Zambia. First, the relationships be...
| Main Authors: | , , |
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| Format: | Informe técnico |
| Language: | Inglés |
| Published: |
CGIAR System Organization
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/127620 |
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