Assessing Meteorological Drought Patterns and Forecasting Accuracy with SPI and SPEI Using Machine Learning Models
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- Feng, Puyu & Wang, Bin & Liu, De Li & Yu, Qiang, 2019. "Machine learning-based integration of remotely-sensed drought factors can improve the estimation of agricultural drought in South-Eastern Australia," Agricultural Systems, Elsevier, vol. 173(C), pages 303-316.
- Amin Asadollahi & Binod Ale Magar & Bishal Poudel & Asyeh Sohrabifar & Ajay Kalra, 2024. "Application of Machine Learning Models for Improving Discharge Prediction in Ungauged Watershed: A Case Study in East DuPage, Illinois," Geographies, MDPI, vol. 4(2), pages 1-15, June.
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Keywords
drought indices; random forest; ANN; SVM; drought prediction;All these keywords.
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