All-Sky 1 km MODIS Land Surface Temperature Reconstruction Considering Cloud Effects Based on Machine Learning

All-Sky 1 km MODIS Land Surface Temperature Reconstruction Considering Cloud Effects Based on Machine Learning

A high spatio-temporal resolution land surface temperature (LST) is necessary for various research fields because LST plays a crucial role in the energy exchange between the atmosphere and the ground surface. The moderate-resolution imaging spectroradiometer (MODIS) LST has been widely used, but it...

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Bibliografische gegevens
Hoofdauteurs: Dongjin Cho, Dukwon Bae, Cheolhee Yoo, Jungho Im, Yeonsu Lee, Siwoo Lee
Formaat: Artikel
Taal:English
Gepubliceerd in: MDPI AG 2022-04-01
Reeks:Remote Sensing
Onderwerpen:
land surface temperature
MODIS
in situ observations
cloud cover information
light gradient boosting machine
Online toegang:https://www.mdpi.com/2072-4292/14/8/1815

Internet

https://www.mdpi.com/2072-4292/14/8/1815

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