Global-Scale Assessment of Multiple Recently Developed/Reprocessed Remotely Sensed Soil Moisture Datasets

The comprehensive and robust assessment of diverse global-scale satellite-based soil moisture (SM) products from various satellite data sources (e.g., different frequencies and incidence angles) and retrieval algorithms is essential for the refinements as well as applications of these products. To d...

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Vydáno v:	IEEE transactions on geoscience and remote sensing Ročník 62; číslo 4403518; s. 1 - 18
Hlavní autoři:	Wang, Panshan, Zeng, Jiangyuan, Chen, Kun-Shan, Ma, Hongliang, Zhang, Xiang, Shi, Pengfei, Peng, Chenchen, Bi, Haiyun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Témata:	Algorithms Collocation methods Datasets Density Earth Sciences Environmental variables Geochemistry global scale Heterogeneity In situ measurement Incidence angle Japanese space program Land cover microwave remote sensing Moisture Moisture measurement Plant cover Products Radiometers Remote sensing Retrieval Satellite broadcasting Satellites Sciences of the Universe Skills Soil Soil measurements Soil moisture soil moisture (SM) Soil properties Soil texture Spatial discrimination Spatial resolution Superhigh frequencies Terrain Texture Ultrahigh frequencies validation strategies Vegetation Vegetation mapping Soil moisture,Satellites,Satellite broadcasting,Vegetation mapping,Moisture,Soil measurements,Moisture measurement,Environmental variablesglobal scale,heterogeneity,microwave remote sensing,soil moisture (SM),validation strategies
ISSN:	0196-2892, 1558-0644
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