8-Day and Daily Maximum and Minimum Air Temperature Estimation via Machine Learning Method on a Climate Zone to Global Scale

8-Day and Daily Maximum and Minimum Air Temperature Estimation via Machine Learning Method on a Climate Zone to Global Scale

Air temperature (Ta) is a required input in a wide range of applications, e.g., agriculture. Land Surface Temperature (LST) products from Moderate Resolution Imaging Spectroradiometer (MODIS) are widely used to estimate Ta. Previous studies of these products in Ta estimation, however, were generally...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Linglin Zeng, Yuchao Hu, Rui Wang, Xiang Zhang, Guozhang Peng, Zhenyu Huang, Guoqing Zhou, Daxiang Xiang, Ran Meng, Weixiong Wu, Shun Hu
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: MDPI AG 2021-06-01
Sarja:Remote Sensing
Aiheet:
MODIS
air temperature estimation
remote sensing
land surface temperature
nighttime LST
Linkit:https://www.mdpi.com/2072-4292/13/12/2355

Internet

https://www.mdpi.com/2072-4292/13/12/2355

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