Validation of downscaled 1‐km SMOS and SMAP soil moisture data in 2010–2021
Abstract Soil moisture (SM) is an important component for many applications in agriculture, hydrology, meteorology, and ecology. In past decades, passive/active microwave sensors onboard Earth observation satellites are utilized to obtain SM estimates from radiometer or radar observations. In this s...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-03-01
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| Series: | Vadose Zone Journal |
| Online Access: | https://doi.org/10.1002/vzj2.20305 |
| _version_ | 1797263179448844288 |
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| author | Bin Fang Venkataraman Lakshmi Runze Zhang |
| author_facet | Bin Fang Venkataraman Lakshmi Runze Zhang |
| author_sort | Bin Fang |
| collection | DOAJ |
| description | Abstract Soil moisture (SM) is an important component for many applications in agriculture, hydrology, meteorology, and ecology. In past decades, passive/active microwave sensors onboard Earth observation satellites are utilized to obtain SM estimates from radiometer or radar observations. In this study, the Soil Moisture and Ocean Salinity (SMOS) Level 3 daily SM retrievals at 25‐km spatial resolution between 2010 and 2021 were downscaled through an apparent thermal inertia principle‐based algorithm. The 1‐km downscaled SMOS SM retrievals were validated by in situ measurements from 635 sites of 19 SM networks in the world, which were acquired from the International Soil Moisture Network and Texas Soil Observation Network. Additionally, the validation results of the SMOS SM products were compared with those of the Soil Moisture Active Passive (SMAP) global Level 2 enhanced SM products at 1‐km downscaled and original 9‐km resolution in 2015–2021. It shows that the downscaled SMOS SM data have an overall improved accuracy and outperform the coarse‐resolution 25‐km data, with a lower unbiased Root Mean Squared Error of 0.114 m3/m3 on average. |
| first_indexed | 2024-04-25T00:08:54Z |
| format | Article |
| id | doaj.art-3ce90216e9c94a0394158b2c444553e4 |
| institution | Directory Open Access Journal |
| issn | 1539-1663 |
| language | English |
| last_indexed | 2024-04-25T00:08:54Z |
| publishDate | 2024-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Vadose Zone Journal |
| spelling | doaj.art-3ce90216e9c94a0394158b2c444553e42024-03-13T15:47:59ZengWileyVadose Zone Journal1539-16632024-03-01232n/an/a10.1002/vzj2.20305Validation of downscaled 1‐km SMOS and SMAP soil moisture data in 2010–2021Bin Fang0Venkataraman Lakshmi1Runze Zhang2Department of Engineering Systems and Environment University of Virginia Charlottesville Virginia USADepartment of Engineering Systems and Environment University of Virginia Charlottesville Virginia USADepartment of Engineering Systems and Environment University of Virginia Charlottesville Virginia USAAbstract Soil moisture (SM) is an important component for many applications in agriculture, hydrology, meteorology, and ecology. In past decades, passive/active microwave sensors onboard Earth observation satellites are utilized to obtain SM estimates from radiometer or radar observations. In this study, the Soil Moisture and Ocean Salinity (SMOS) Level 3 daily SM retrievals at 25‐km spatial resolution between 2010 and 2021 were downscaled through an apparent thermal inertia principle‐based algorithm. The 1‐km downscaled SMOS SM retrievals were validated by in situ measurements from 635 sites of 19 SM networks in the world, which were acquired from the International Soil Moisture Network and Texas Soil Observation Network. Additionally, the validation results of the SMOS SM products were compared with those of the Soil Moisture Active Passive (SMAP) global Level 2 enhanced SM products at 1‐km downscaled and original 9‐km resolution in 2015–2021. It shows that the downscaled SMOS SM data have an overall improved accuracy and outperform the coarse‐resolution 25‐km data, with a lower unbiased Root Mean Squared Error of 0.114 m3/m3 on average.https://doi.org/10.1002/vzj2.20305 |
| spellingShingle | Bin Fang Venkataraman Lakshmi Runze Zhang Validation of downscaled 1‐km SMOS and SMAP soil moisture data in 2010–2021 Vadose Zone Journal |
| title | Validation of downscaled 1‐km SMOS and SMAP soil moisture data in 2010–2021 |
| title_full | Validation of downscaled 1‐km SMOS and SMAP soil moisture data in 2010–2021 |
| title_fullStr | Validation of downscaled 1‐km SMOS and SMAP soil moisture data in 2010–2021 |
| title_full_unstemmed | Validation of downscaled 1‐km SMOS and SMAP soil moisture data in 2010–2021 |
| title_short | Validation of downscaled 1‐km SMOS and SMAP soil moisture data in 2010–2021 |
| title_sort | validation of downscaled 1 km smos and smap soil moisture data in 2010 2021 |
| url | https://doi.org/10.1002/vzj2.20305 |
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