High Spatial-Temporal Resolution Estimation of Ground-Based Global Navigation Satellite System Interferometric Reflectometry (GNSS-IR) Soil Moisture Using the Genetic Algorithm Back Propagation (GA-BP) Neural Network

High Spatial-Temporal Resolution Estimation of Ground-Based Global Navigation Satellite System Interferometric Reflectometry (GNSS-IR) Soil Moisture Using the Genetic Algorithm Back Propagation (GA-BP) Neural Network

Soil moisture is one of the critical variables in maintaining the global water cycle balance. Moreover, it plays a vital role in climate change, crop growth, and environmental disaster event monitoring, and it is important to monitor soil moisture continuously. Recently, Global Navigation Satellite...

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Bibliographic Details
Main Authors: Yajie Shi, Chao Ren, Zhiheng Yan, Jianmin Lai
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:ISPRS International Journal of Geo-Information
Subjects:
soil moisture
GNSS-IR technology
high spatial and temporal resolution
GA-BP neural network
Online Access:https://www.mdpi.com/2220-9964/10/9/623

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