Best Linear Unbiased Estimators for Fusion of Multiple CYGNSS Soil Moisture Products

NASA's Cyclone Global Navigation Satellite System (CYGNSS) mission has gained significant attention within the land remote sensing community for estimating soil moisture (SM) using the Global Navigation System Reflectometry technique. Multiple algorithms have been developed to generate global...

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Κύριοι συγγραφείς:	M M Nabi, Volkan Senyurek, Mehmet Kurum, Ali Cafer Gurbuz
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	IEEE 2024-01-01
Σειρά:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Θέματα:	Best linear unbiased estimator (BLUE) Cyclone Global Navigation Satellite System (CYGNSS) linear weight fusion (LWF) minimum variance estimator (MVE) soil moisture (SM) fusion triple collocation (TC)
Διαθέσιμο Online:	https://ieeexplore.ieee.org/document/10637276/
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