Evaluating established deep learning methods in constructing integrated remote sensing drought index: A case study in China

Author:

Xu Zhenheng,Sun HaoORCID,Zhang Tian,Xu Huanyu,Wu Dan,Gao JinHua

Funder

Natural Science Foundation of Beijing Municipality

Publisher

Elsevier BV

Subject

Earth-Surface Processes,Soil Science,Water Science and Technology,Agronomy and Crop Science

Reference78 articles.

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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

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