HIGHLIGHTS
SUMMARY
K. Liu et_al: A robust gap-filling approach for ESA CCI soil moisture integrating satellite observations Other studies (Leng et_al, 2017; Llamas et_al, 2020; Meng et_al, 2021) have focused on the use of statistical methods that mainly depend on the statistical and physical relationships between target variables and explanatory variables. Only recently have machine_learning strategies been introduced to the problem of gap filling in relation to satellitederived datasets (Zhang et_al, 2021a, b; Bessenbacher et_al, 2022b). To satellite-derived vegetation indexes (e_g, normalized difference vegetation index, NDVI, and enhanced vegetation index, EVI), surface albedo, and . . .
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