Estimation of Climatologies of Average Monthly Air Temperature over Mongolia Using MODIS Land Surface Temperature (LST) Time Series and Machine Learning Techniques

Estimation of Climatologies of Average Monthly Air Temperature over Mongolia Using MODIS Land Surface Temperature (LST) Time Series and Machine Learning Techniques

The objective of this research was to develop a robust statistical model to estimate climatologies (2002−2017) of monthly average near-surface air temperature (Ta) over Mongolia using Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) time series products...

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Bibliographic Details
Main Authors: Munkhdulam Otgonbayar, Clement Atzberger, Matteo Mattiuzzi, Avirmed Erdenedalai
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Remote Sensing
Subjects:
near-surface air temperature
modis land surface temperature
terrain parameters
partial least square regression
random forest regression
Online Access:https://www.mdpi.com/2072-4292/11/21/2588

Internet

https://www.mdpi.com/2072-4292/11/21/2588

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