Validation of Satellite Soil Moisture Products by Sparsification of Ground Observations
Dense soil moisture observation networks serve as the primary means to validate large-scale satellite soil moisture products. However, maintaining intensive observation demands substantial labor and financial resources. It is therefore crucial to address the issue of how to sparsify ground observati...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10423116/ |
| _version_ | 1827308158732730368 |
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| author | Longfei Hao Jingjing Chen Zushuai Wei Linguang Miao Tianjie Zhao Jian Peng |
| author_facet | Longfei Hao Jingjing Chen Zushuai Wei Linguang Miao Tianjie Zhao Jian Peng |
| author_sort | Longfei Hao |
| collection | DOAJ |
| description | Dense soil moisture observation networks serve as the primary means to validate large-scale satellite soil moisture products. However, maintaining intensive observation demands substantial labor and financial resources. It is therefore crucial to address the issue of how to sparsify ground observations while still achieving comparable validation results. Accordingly, this study takes an agropastoral interconnected zone of the Shandian River basin as an example. Representative soil moisture sites and the minimal number of required sites (NRS) were investigated at different sampling depths (3 and 50 cm) and at multiple scales (3, 9, 36, and 100 km). The average soil moisture estimated from the representative sites was then applied to validate SMAP L2, L3, and L4 multiscale soil moisture products. The findings indicate that the spatial heterogeneity of soil moisture within the Shandian River basin remained relatively consistent across varying spatial scales. However, it exhibited a notable increase in heterogeneity when moving vertically into deeper soil layers. Representative sites can more accurately determine the average soil moisture in a region, showing that SMAP notably overestimated root zone soil moisture and underestimated surface soil moisture. This research can serve as a theoretical guide for watershed-scale soil moisture estimation as well as a solid scientific foundation for improving the architecture of the watershed soil moisture network. |
| first_indexed | 2024-04-24T18:52:26Z |
| format | Article |
| id | doaj.art-15292fd70d0d4bc097aa68498194633c |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-04-24T18:52:26Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj.art-15292fd70d0d4bc097aa68498194633c2024-03-26T17:48:26ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352024-01-01175970598510.1109/JSTARS.2024.336283310423116Validation of Satellite Soil Moisture Products by Sparsification of Ground ObservationsLongfei Hao0https://orcid.org/0009-0001-5060-7770Jingjing Chen1Zushuai Wei2https://orcid.org/0009-0004-7925-0842Linguang Miao3https://orcid.org/0009-0009-2419-5088Tianjie Zhao4https://orcid.org/0000-0002-0914-599XJian Peng5https://orcid.org/0000-0002-4071-0512School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, ChinaSchool of Architecture Engineering, Xinyang Vocational and Technical College, Xinyang, ChinaSchool of Artificial Intelligence, Jianghan University, Wuhan, ChinaSchool of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, ChinaState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaDepartment of Remote Sensing, Helmholtz Centre for Environmental Research–UFZ, Leipzig, GermanyDense soil moisture observation networks serve as the primary means to validate large-scale satellite soil moisture products. However, maintaining intensive observation demands substantial labor and financial resources. It is therefore crucial to address the issue of how to sparsify ground observations while still achieving comparable validation results. Accordingly, this study takes an agropastoral interconnected zone of the Shandian River basin as an example. Representative soil moisture sites and the minimal number of required sites (NRS) were investigated at different sampling depths (3 and 50 cm) and at multiple scales (3, 9, 36, and 100 km). The average soil moisture estimated from the representative sites was then applied to validate SMAP L2, L3, and L4 multiscale soil moisture products. The findings indicate that the spatial heterogeneity of soil moisture within the Shandian River basin remained relatively consistent across varying spatial scales. However, it exhibited a notable increase in heterogeneity when moving vertically into deeper soil layers. Representative sites can more accurately determine the average soil moisture in a region, showing that SMAP notably overestimated root zone soil moisture and underestimated surface soil moisture. This research can serve as a theoretical guide for watershed-scale soil moisture estimation as well as a solid scientific foundation for improving the architecture of the watershed soil moisture network.https://ieeexplore.ieee.org/document/10423116/RepresentativenessSMAPShandian River basin soil moisture network (SMN-SDR)soil moisturetemporal stability analysisvalidation |
| spellingShingle | Longfei Hao Jingjing Chen Zushuai Wei Linguang Miao Tianjie Zhao Jian Peng Validation of Satellite Soil Moisture Products by Sparsification of Ground Observations IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Representativeness SMAP Shandian River basin soil moisture network (SMN-SDR) soil moisture temporal stability analysis validation |
| title | Validation of Satellite Soil Moisture Products by Sparsification of Ground Observations |
| title_full | Validation of Satellite Soil Moisture Products by Sparsification of Ground Observations |
| title_fullStr | Validation of Satellite Soil Moisture Products by Sparsification of Ground Observations |
| title_full_unstemmed | Validation of Satellite Soil Moisture Products by Sparsification of Ground Observations |
| title_short | Validation of Satellite Soil Moisture Products by Sparsification of Ground Observations |
| title_sort | validation of satellite soil moisture products by sparsification of ground observations |
| topic | Representativeness SMAP Shandian River basin soil moisture network (SMN-SDR) soil moisture temporal stability analysis validation |
| url | https://ieeexplore.ieee.org/document/10423116/ |
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