Improving the fusion of global soil moisture datasets from SMAP, SMOS, ASCAT, and MERRA2 by considering the non-zero error covariance

Author:

Min Xiaoxiao,Shangguan Yulin,Li Danlu,Shi Zhou

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference55 articles.

1. Comparison of gap-filling techniques applied to the cci soil moisture database in southern Europe;Almendra-Martín;Remote Sens. Environ.,2021

2. Global-scale comparison of passive (SMOS) and active (ASCAT) satellite-based microwave soil moisture retrievals with soil moisture simulations (MERRA-land);Al-Yaari;Remote Sens. Environ.,2014

3. Assessment and inter-comparison of recently developed/reprocessed microwave satellite soil moisture products using ISMN ground-based measurements;Al-Yaari;Remote Sens Environ.,2019

4. Ensemble forecasting of species distributions;Araujo;Trends Ecol. Evol.,2007

5. Assessment of merging technique using triple collocation (TC) from satellite and reanalysis dataset over different land covers in East Asia: GLDAS, MOD16, GLEAM, and MERRA;Baik;AGUFM.,2018

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