Soil Moisture Inversion Based on Data Augmentation Method Using Multi-Source Remote Sensing Data

Soil Moisture Inversion Based on Data Augmentation Method Using Multi-Source Remote Sensing Data

Soil moisture is an important land environment characteristic that connects agriculture, ecology, and hydrology. Surface soil moisture (SSM) prediction can be used to plan irrigation, monitor water quality, manage water resources, and estimate agricultural production. Multi-source remote sensing is...

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Bibliographic Details
Main Authors: Yinglin Wang, Jianhui Zhao, Zhengwei Guo, Huijin Yang, Ning Li
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Remote Sensing
Subjects:
surface soil moisture
synthetic aperture radar
data augmentation
feature optimization
machine learning
Online Access:https://www.mdpi.com/2072-4292/15/7/1899

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https://www.mdpi.com/2072-4292/15/7/1899

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