A New Approach for Downscaling Soil Moisture by Merging Conditional Adversarial Networks and Physics-Based Passive Microwave Retrieval
Author:
Affiliation:
1. University of Southern California,Los Angeles,CA,United States
2. Institute of Computer Science,Foundation for Research and Technology-Hellas (FORTH),Heraklion,Greece
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10281394/10281399/10283371.pdf?arnumber=10283371
Reference16 articles.
1. Soil Moisture Active Passive (SMAP) Algorithm Theoretical Basis Document Level 2 & 3 Soil Moisture (Passive) Data Products;o’neill;Jet Propulsion Laboratory,2020
2. Image-to-image translation with conditional adversarial networks;isola,2016
3. The International Soil Moisture Network: a data hosting facility for global in situ soil moisture measurements
4. Conditional generative adversarial nets;mirza,2014
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1. Soil Moisture Retrieval Using in Situ and Data Simulation Regularized Deep Learning Models;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07
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