Estimation of Daily Mean, Maximum, and Minimum Land Surface Temperatures from Modis Data Using Machine Learning
Author:
Affiliation:
1. Chinese Academy of Sciences,Aerospace Information Research Institute,Beijing,China,100094
2. Beijing Normal University,Innovation Research Center of Satellite Application, Faculty of Geographical Science,Beijing,China,100875
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642782.pdf?arnumber=10642782
Reference5 articles.
1. Satellite Remote Sensing of Global Land Surface Temperature: Definition, Methods, Products, and Applications
2. A simple yet robust framework to estimate accurate daily mean land surface temperature from thermal observations of tandem polar orbiters
3. Estimation of daily mean land surface temperature at global scale using pairs of daytime and nighttime MODIS instantaneous observations
4. Comparison of the MuSyQ and MODIS Collection 6 Land Surface Temperature Products Over Barren Surfaces in the Heihe River Basin, China
5. Temperature-Based and Radiance-Based Validation of the Collection 6 MYD11 and MYD21 Land Surface Temperature Products Over Barren Surfaces in Northwestern China
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