Estimation of Surface Soil Moisture from Multi-Source Remote Sensing Data Based on Deep Learning Model
Author:
Affiliation:
1. School of Geographical Sciences, Changchun Normal University,Changchun,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10405420/10405394/10405489.pdf?arnumber=10405489
Reference14 articles.
1. Analysis of L-Band SAR Data for Soil Moisture Estimations over Agricultural Areas in the Tropics
2. A modernized version of a 1D soil vegetation atmosphere transfer model for improving its future use in land surface interactions studies
3. Estimation of Surface Soil Moisture in Irrigated Lands by Assimilation of Landsat Vegetation Indices, Surface Energy Balance Products, and Relevance Vector Machines
4. A new synergistic approach for monitoring wetlands using Sentinels -1 and 2 data with object-based machine learning algorithms
5. Soil moisture retrieval model by using RISAT-1, C-band data in tropical dry and sub-humid zone of Bankura district of India
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