Research on Soil Moisture Inversion Method for Canal Slope of the Middle Route Project of the South to North Water Transfer Based on GNSS-R and Deep Learning

Research on Soil Moisture Inversion Method for Canal Slope of the Middle Route Project of the South to North Water Transfer Based on GNSS-R and Deep Learning

The soil moisture from the South-to-North Water Diversion Middle Route Project is assessed in this study. Complex and variable geological conditions complicate the prediction of soil moisture in the study area. To achieve this aim, we carried out research on soil moisture inversion methods for chann...

Full description

Bibliographic Details
Main Authors: Qingfeng Hu, Yifan Li, Wenkai Liu, Weiqiang Lu, Hongxin Hai, Peipei He, Xianlin Liu, Kaifeng Ma, Dantong Zhu, Peng Wang, Yingchao Kou
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Remote Sensing
Subjects:
data fusion
deep learning
drought detection
GNSS-R
soil moisture
South to North Water Transfer
Online Access:https://www.mdpi.com/2072-4292/15/17/4340

Internet

https://www.mdpi.com/2072-4292/15/17/4340

Similar Items