Combined Sentinel-1A With Sentinel-2A to Estimate Soil Moisture in Farmland

Author:

Liu Ying,Qian JiaxinORCID,Yue HuiORCID

Funder

Natural Science Basic Research Program of Shaanxi

Research on Ecological Restoration and Protection of Coal Base in Arid Eco-fragile Region

Shaanxi Coal and Chemical Industry Group

Xi'an University of Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

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1. Integration of machine learning and remote sensing for above ground biomass estimation through Landsat-9 and field data in temperate forests of the Himalayan region;Ecological Informatics;2024-09

2. Comparative Analysis of Machine-Learning Models for Soil Moisture Estimation Using High-Resolution Remote-Sensing Data;Land;2024-08-22

3. Computational methods to retrieve soil moisture using remote sensing data: A review;2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP);2024-07-11

4. Joint Soil and Above-Ground Biomass Characterization Using Radars;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

5. SAR Soil Moisture Retrieval Using Physically Based AI Model;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

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