Trend Analysis of High-Resolution Soil Moisture Data Based on GAN in the Three-River-Source Region During the 21st Century

Trend Analysis of High-Resolution Soil Moisture Data Based on GAN in the Three-River-Source Region During the 21st Century

Soil moisture (SM) is a crucial factor in land-atmosphere interactions and climate systems, affecting surface energy, water budgets, and weather extremes. In the Three-River-Source Region (TRSR) of China, rapid climate change necessitates precise SM monitoring. This study employs a novel UNet-Gan mo...

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Bibliographic Details
Main Authors: Zhuoqun Li, Siqiong Luo, Xiaoqing Tan, Jingyuan Wang
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Remote Sensing
Subjects:
soil moisture
statistical downscaling
CMIP6
Generative Adversarial Network
deep learning
Three-River-Source Region
Online Access:https://www.mdpi.com/2072-4292/16/23/4367
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