Cargando…
Multi-Source Soil Moisture Data Fusion Based on Spherical Cap Harmonic Analysis and Helmert Variance Component Estimation in the Western U.S.
Soil moisture (SM) is a vital climate variable in the interaction process between the Earth’s atmosphere and land. However, global soil moisture products from various satellite missions and land surface models are affected by inherently discontinuous observations and coarse spatial resolution, which...
Autores principales: | Chen, Hao, Chen, Peng, Wang, Rong, Qiu, Liangcai, Tang, Fucai, Xiong, Mingzhu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575404/ https://www.ncbi.nlm.nih.gov/pubmed/37836849 http://dx.doi.org/10.3390/s23198019 |
Ejemplares similares
-
Helmert Variance Component Estimation for Multi-GNSS Relative Positioning
por: Li, Mowen, et al.
Publicado: (2020) -
Improving the Performance of Multi-GNSS Time and Frequency Transfer Using Robust Helmert Variance Component Estimation
por: Zhang, Pengfei, et al.
Publicado: (2018) -
Spherical harmonics
por: Müller, Claus
Publicado: (1966) -
Towards centimetric Geoid over FCC area: application of the Stokes-Helmert method
por: Weyer, Benjamin, et al.
Publicado: (2023) -
Effect of Helmert Transformation Parameters and Weight Matrix on Seasonal Signals in GNSS Coordinate Time Series
por: Chen, Guo, et al.
Publicado: (2018)