Global spatiotemporal variation analysis and AI prediction of terrestrial high-temperature droughts

In recent years, the frequency and intensity of compound high-temperature drought events have significantly increased on a global scale, posing severe challenges to agricultural production and ecological environments. To elucidate the spatiotemporal variation patterns of such extreme events and enha...

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Главные авторы:	Xiangxiang Ma, Kebiao Mao, Zijin Yuan, Zhonghua Guo, Xuehong Sun, Sayed M. Bateni
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Elsevier 2025-09-01
Серии:	International Journal of Applied Earth Observations and Geoinformation
Предметы:	Extreme Climate SPI STI Wavelet Transform Deep Learning Spatiotemporal Variation Patterns Agricultural Disaster Prevention and Control
Online-ссылка:	http://www.sciencedirect.com/science/article/pii/S1569843225004820
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