Cargando…
SMAP Salinity Retrievals near the Sea-Ice Edge Using Multi-Channel AMSR2 Brightness Temperatures
Sea-ice contamination in the antenna field of view constitutes a large error source in retrieving sea-surface salinity (SSS) with the spaceborne Soil Moisture Active Passive (SMAP) L-band radiometer. This is a major obstacle in the current NASA/Remote Sensing Systems (RSS) SMAP SSS retrieval algorit...
Autores principales: | Meissner, Thomas, Manaster, Andrew |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8819735/ https://www.ncbi.nlm.nih.gov/pubmed/35136668 http://dx.doi.org/10.3390/rs13245120 |
Ejemplares similares
-
Retrieving Soil Physical Properties by Assimilating SMAP Brightness Temperature Observations into the Community Land Model
por: Zhao, Hong, et al.
Publicado: (2023) -
Evaluation of SMOS, SMAP, AMSR2 and FY-3C soil moisture products over China
por: Fan, Jiazhi, et al.
Publicado: (2022) -
Assimilation of SMAP Brightness Temperature Observations in the GEOS Land–Atmosphere Data Assimilation System
por: Reichle, Rolf H., et al.
Publicado: (2021) -
Deep Learning Convolutional Neural Network for the Retrieval of Land Surface Temperature from AMSR2 Data in China
por: Tan, Jiancan, et al.
Publicado: (2019) -
Retrieving the Motion of Beaufort Sea Ice Using Brightness Temperature Data from FY-3D Microwave Radiometer Imager
por: Ni, Kun, et al.
Publicado: (2022)