Landslide Prediction Method Based on a Ground-Based Micro-Deformation Monitoring Radar
As remote sensing methods have received a lot of attention, ground-based micro- deformation monitoring radars have been widely used in recent years due to their wide range, high accuracy, and all-day monitoring capability. On the one hand, these monitoring radars break through the limitations of tra...
Main Authors: | Lin Qi, Weixian Tan, Pingping Huang, Wei Xu, Yaolong Qi, Mingzhi Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-04-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/12/8/1230 |
Similar Items
-
A Method for Predicting Landslides Based on Micro-Deformation Monitoring Radar Data
by: Weixian Tan, et al.
Published: (2023-02-01) -
A New Permanent Scatterer Selection Method Based on Gaussian Mixture Model for Micro-Deformation Monitoring Radar Images
by: Weixian Tan, et al.
Published: (2024-03-01) -
Detecting the slope movement after the 2018 Baige Landslides based on ground-based and space-borne radar observations
by: Yongsheng Li, et al.
Published: (2020-02-01) -
Research on Time Series Monitoring of Surface Deformation in Tongliao Urban Area Based on SBAS-PS-DS-InSAR
by: Yuejuan Chen, et al.
Published: (2024-02-01) -
Application of SBAS-InSAR technology in monitoring of ground deformation of representative giant landslides in Jinsha river basin, Jiangda County, Tibet
by: Chengye YANG, et al.
Published: (2022-06-01)