1. [dataset]McNally, A., 2018. FLDAS Noah land surface model L4 Global Monthly 0.1×0.1° (MERRA-2 and CHIRPS). GES DISC, v001. https://doi.org/10.5067/5NHC22T9375G. (accessed 6 October 2022).
2. Remote sensing of drought: Progress, challenges and opportunities;AghaKouchak;Rev. Geophys.,2015
3. Review of deep learning: concepts, CNN architectures, challenges, applications, future directions;Alzubaidi;J. Big Data,2021
4. A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation;Anderson;J. Geohys. Res. D.,2007
5. Evaluation of drought indices based on thermal remote sensing of evapotranspiration over the continental United States;Anderson;J. Clim.,2011