To fill this gap, this paper outlines one new cloud spatiotemporal fusion method by combining Google Earth Engine and STARFM to develop for the first time a 3- ...
Nov 1, 2023 · Furthermore, the effectiveness of spatiotemporal fusion methods for LST data has not been thoroughly evaluated in previous studies that only ...
Based on the modeling strategies, these fusion algorithms can be generally divided into 2 major categories, pair-based (e.g., STARFM, ESTARFM, and Fit-FC) [17– ...
Highlights · A robust image fusion model is devised to address complex land surface changes. · Complex land surface changes are reorganized into shape and non- ...
... Fusion Model of Land Surface Temperature Based on Pixel Long Time-Series Regression: Expanding Inputs for Efficient Generation of Robust Fused Results.
Apr 19, 2022 · This study applied ESTARFM to fuse multiple land surface variables and generate 30 m spatio-temporally continuous inputs (i.e., NDVI, LST ...
... Fusion Model of Land Surface Temperature Based on Pixel Long Time-Series Regression: Expanding Inputs for Efficient Generation of Robust Fused Results.
Remotely sensed Land Surface Temperature (LST) from a single source rarely has high temporal and spatial resolutions due to the sensors' optical ...
... Fusion Model of Land Surface Temperature Based on Pixel Long Time-Series Regression: Expanding Inputs for Efficient Generation of Robust Fused Results.
Abstract—Spatiotemporal fusion of land surface temperature. (LST) has a vital significance in studying the temporal and spatial.