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Seasonal dependence of SMAP radiometer-based soil moisture performance as observed over core validation sites
- Source :
- 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019-Proceedings, 5320-5323, STARTPAGE=5320;ENDPAGE=5323;TITLE=2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019-Proceedings, IGARSS
- Publication Year :
- 2019
- Publisher :
- IEEE, 2019.
-
Abstract
- The NASA SMAP (Soil Moisture Active Passive) mission provides a global coverage of soil moisture measurements based on its L-band microwave radiometer every 2-3 days at about 40 km resolution. The soil moisture retrieval algorithms model the brightness temperature as a function of soil moisture, surface conditions and vegetation. External data sources inform the algorithms about the surface conditions and vegetation, which enable the retrieval of soil moisture. The inversion process contains uncertainties related to radiometer measurements, forward model assumptions and ancillary data sources. This study focuses on the uncertainties that depend on the seasonal evolution of the surface conditions and vegetation. The study compares the SMAP and core validation site (CVS) soil moisture values over a period of four years to extract the evolution of performance metrics over time. The analysis showed that most CVS that include managed agriculture exhibit significant time-dependent seasonal bias. This bias was linked to seasonal temperature cycle, which is a proxy to several features that can cause seasonally dependent errors in the SMAP product.
- Subjects :
- Radiometer
010504 meteorology & atmospheric sciences
22/3 OA procedure
Soil Moisture
0208 environmental biotechnology
Microwave radiometer
02 engineering and technology
SMAP
Atmospheric sciences
01 natural sciences
Active passive
020801 environmental engineering
Ancillary data
External data
core validation site
Brightness temperature
Environmental science
Water content
Retrieval algorithm
0105 earth and related environmental sciences
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019-Proceedings, 5320-5323, STARTPAGE=5320;ENDPAGE=5323;TITLE=2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019-Proceedings, IGARSS
- Accession number :
- edsair.doi.dedup.....d30bcf5b8c3638648501e6997beef493