A Modified Downscaling Approach To Estimate SMOS Soil Moisture At High Resolution (300 M) Using Copernicus Sentinel 3 NDVI
Author:
Affiliation:
1. Universitat Politècnica de Catalunya (UPC),CommSensLab,Barcelona,08034
2. Institut d’Estudis Espacials de Catalunya (IEEC),Barcelona,08034
3. Barcelona Expert Center (BEC) on Remote Sensing,Barcelona,08003
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10281394/10281399/10282028.pdf?arnumber=10282028
Reference19 articles.
1. Stepwise Disaggregation of SMAP Soil Moisture at 100 m Resolution Using Landsat-7/8 Data and a Varying Intermediate Resolution
2. Disaggregation of SMOS Soil Moisture to 100 m Resolution Using MODIS Optical/Thermal and Sentinel-1 Radar Data: Evaluation over a Bare Soil Site in Morocco
3. BEC SMOS soil moisture products description BEC-SMOS-PD-SM-L3v4-L4v61 version 1.0;pablos;Tech report Barcelona Expert Center (BEC) on Remote Sensing,2023
4. Disaggregation of SMAP Soil Moisture at 20 m Resolution: Validation and Sub-Field Scale Analysis
5. Downscaling of Satellite Remote Sensing Soil Moisture Products Over the Tibetan Plateau Based on the Random Forest Algorithm: Preliminary Results
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Spatial Spectra Assessment of SMOS Soil Moisture at Different Spatial Scales;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07
2. Two Disaggregation Algorithms to Estimate Soil Moisture at Moderate (1 km and 300 m) and at High Resolution (60 m): Applications over the North of Africa;2024 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS);2024-04-15
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