Comparison of Multiple Linear Regression, Cubist Regression, and Random Forest Algorithms to Estimate Daily Air Surface Temperature from Dynamic Combinations of MODIS LST Data

By Noi Phan Thanh   Degener Jan   Kappas Martin  

Remote Sensing, Vol. 9, Iss. 5, 2017-04 ,pp. : 398-398

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A Study of Spatial Soil Moisture Estimation Using a Multiple Linear Regression Model and MODIS Land Surface Temperature Data Corrected by Conditional Merging

By Jung Chunggil   Lee Yonggwan   Cho Younghyun   Kim Seongjoon  

Remote Sensing, Vol. 9, Iss. 8, 2017-08 ,pp. : 870-870

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Downscaling Land Surface Temperature in an Arid Area by Using Multiple Remote Sensing Indices with Random Forest Regression

By Yang Yingbao   Cao Chen   Pan Xin   Li Xiaolong   Zhu Xi  

Remote Sensing, Vol. 9, Iss. 8, 2017-07 ,pp. : 789-789

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Estimation of Surface NO₂ Volume Mixing Ratio in Four Metropolitan Cities in Korea Using Multiple Regression Models with OMI and AIRS Data

By Kim Daewon   Lee Hanlim   Hong Hyunkee   Choi Wonei   Lee Yun Gon   Park Junsung  

Remote Sensing, Vol. 9, Iss. 6, 2017-06 ,pp. : 627-627

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Validation of Abundance Map Reference Data for Spectral Unmixing

By Williams McKay D.   Parody Robert J.   Fafard Alexander J.   Kerekes John P.   van Aardt Jan  

Remote Sensing, Vol. 9, Iss. 5, 2017-05 ,pp. : 473-473

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