Study for predicting land surface temperature (lst) using landsat data: a comparison of four algorithms

HIGHLIGHTS

• who: Elhadi K. Mustafa et al. from the Department of Surveying and Geo-Informatics, Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China have published the Article: Study for Predicting Land Surface Temperature (LST) Using Landsat Data: A Comparison of Four Algorithms, in the Journal: Advances in Civil Engineering 30 of 31/03/2020
• what: The results of the models show that the MARS ANFIS and DENFIS models can be used to predict the LST of the study area. In this method, prior knowledge of the study region is used to select . . .
  

   

  

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