Abstract
High-resolution soil moisture plays an important role in irrigation scheduling and agriculture management. A spatial downscaling method based on the OPtical TRApezoid Model (OPTRAM) was proposed to retrieve soil moisture at 500 m spatial resolution by combining SMAP and MODIS observations. This method is less sensitive to cloud cover than the land surface temperature (LST)-based algorithms. The performance of this method was evaluated using soil moisture data derived from aircraft observations of L-band brightness temperature and compared to a typical LST-based downscaling method known as DisPATCh (DISaggregation based on Physical And Theoretical scale Change). The RMSE (Root Mean Squared Error) of the retrieved soil moisture was 0.037 m3/m3 for the proposed method, which is lower than the 0.064 m3/m3 achieved for the DisPATCh algorithm.
Original language | English |
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Title of host publication | IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 5084-5086 |
Number of pages | 3 |
ISBN (Electronic) | 9798350360325 |
DOIs | |
Publication status | Published - 2024 |
Event | IEEE International Geoscience and Remote Sensing Symposium 2024 - Athens, Greece Duration: 7 Jul 2024 → 12 Jul 2024 https://ieeexplore.ieee.org/xpl/conhome/10640349/proceeding (Proceedings) https://www.2024.ieeeigarss.org (Website) |
Conference
Conference | IEEE International Geoscience and Remote Sensing Symposium 2024 |
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Abbreviated title | IGARSS 2024 |
Country/Territory | Greece |
City | Athens |
Period | 7/07/24 → 12/07/24 |
Internet address |
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Keywords
- DisPATCh
- downscaling
- MODIS
- OPTRAM
- Soil moisture