Generation of MODIS-like land surface temperatures under all-weather conditions based on a data fusion approach
Author:
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Computers in Earth Sciences,Geology,Soil Science
Reference68 articles.
1. Downscaling SMAP radiometer soil moisture over the CONUS using an ensemble learning method;Abbaszadeh;Water Resour. Res.,2019
2. A thermal-based remote sensing technique for routine mapping of land-surface carbon, water and energy fluxes from field to regional scales;Anderson;Remote Sens. Environ.,2008
3. Application of Long short-term memory neural network model for the reconstruction of MODIS land surface temperature images;Arslan;J. Atmos. Sol. Terr. Phys.,2019
4. Estimation of surface soil moisture with downscaled land surface temperatures using a data fusion approach for heterogeneous agricultural land;Bai;Water Resour. Res.,2019
5. Generating high spatiotemporal resolution land surface temperature for urban Heat Island monitoring;Bo;IEEE Geosci. Remote Sens. Lett.,2013
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