Interpolation of Instantaneous Air Temperature Using Geographical and MODIS Derived Variables with Machine Learning Techniques

Interpolation of Instantaneous Air Temperature Using Geographical and MODIS Derived Variables with Machine Learning Techniques

Several methods have been tried to estimate air temperature using satellite imagery. In this paper, the results of two machine learning algorithms, Support Vector Machines and Random Forest, are compared with Multiple Linear Regression and Ordinary kriging. Several geographic, remote sensing and tim...

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Bibliographic Details
Main Authors: Marcos Ruiz-Álvarez, Francisco Alonso-Sarria, Francisco Gomariz-Castillo
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:ISPRS International Journal of Geo-Information
Subjects:
air temperature
MODIS
machine learning
interpolation
Online Access:https://www.mdpi.com/2220-9964/8/9/382

Internet

https://www.mdpi.com/2220-9964/8/9/382

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