Abstract
High-quality and long-term soil moisture (SM) products are crucial for studying the climate change over the Qinghai- Tibet Plateau. Five passive microwave remotely sensed SM products were compared against in-situ SM observations from five networks, i.e., Heihe, Naqu, Pali, Maqu, and Ngari. Five SM products include the Soil Moisture Active Passive (SMAP), the Soil Moisture and Ocean Salinity (SMOS), the Fengyun-3B (FY3B), the Land Parameter Retrieval Model (LPRM), and the Japan Aerospace Exploration Agency (JAXA). The results show that SMAP performs better than other four products in every network, but it has a slightly underestimate and poor dynamic range in Heihe network, which mainly due to the significant heterogeneity of topography and land cover. Moreover, the underestimate for JAXA, the overestimate for LPRM, the noisy temporal variations for SMOS, good dynamic changes for FY3B but lacks perfect absolute accuracy, all of these can be reflected from the validation results.
Original language | English |
---|---|
Title of host publication | International Geoscience and Remote Sensing Symposium (IGARSS) |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 6182-6185 |
DOIs | |
Publication status | Published - 2019 |
Externally published | Yes |
Event | 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Yokohama, Japan Duration: 28 Jul 2019 → 2 Aug 2019 |
Conference
Conference | 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 |
---|---|
Country/Territory | Japan |
City | Yokohama |
Period | 28/07/19 → 2/08/19 |
Funding
The work was supported by the National Natural Science Foundation of China (41531174, 41671337, 41871228), and the State Key Laboratory of Earth Surface Processes and Resource Ecology (2017-FX-04). In addition, we thank the Institute of Tibetan Plateau Research, CAS, and the Institute of Northwest Ecological Environment and Resources Research, CAS, for providing in-situ datasets.
Funders | Funder number |
---|---|
National Natural Science Foundation of China | 41671337, 41871228, 41531174 |
State Key Laboratory of Earth Surface Processes and Resource Ecology | 2017-FX-04 |