Estimation of High-Resolution Soil Moisture in Canadian Croplands Using Deep Neural Network with Sentinel-1 and Sentinel-2 Images

Estimation of High-Resolution Soil Moisture in Canadian Croplands Using Deep Neural Network with Sentinel-1 and Sentinel-2 Images

Soil moisture (SM) is a crucial hydrologic factor that affects the global cycle of energy, carbon, and water, as well as plant growth and crop yield; therefore, an accurate estimate of SM is important for both the global environment and agriculture. Satellite-based SM data have been provided by the...

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Bibliographic Details
Main Authors: Soo-Jin Lee, Chuluong Choi, Jinsoo Kim, Minha Choi, Jaeil Cho, Yangwon Lee
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Remote Sensing
Subjects:
soil moisture
deep neural network
Sentinel-1
Sentinel-2
Online Access:https://www.mdpi.com/2072-4292/15/16/4063

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