SNR-Dependent Environmental Model: Application in Real-Time GNSS Landslide Monitoring
The Global Navigation Satellite System (GNSS) is currently one of the important tools for landslide monitoring and early warning. However, the majority of GNSS devices are installed in mountainous areas and a variety of vegetation. These harsh environments lead to defective signals at high elevation...
Main Authors: | Junqiang Han, Rui Tu, Rui Zhang, Lihong Fan, Pengfei Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-11-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/22/5017 |
Similar Items
-
SNR-Based GNSS-R for Coastal Sea-Level Altimetry
by: Sajad Tabibi, et al.
Published: (2021-09-01) -
SNR and Standard Deviation of cGNSS-R and iGNSS-R Scatterometric Measurements
by: Alberto Alonso-Arroyo, et al.
Published: (2017-01-01) -
GNSS-IR Snow Depth Retrieval Based on the Fusion of Multi-Satellite SNR Data by the BP Neural Network
by: Junyu Zhan, et al.
Published: (2022-03-01) -
Repeated UAV Campaigns, GNSS Measurements, GIS, and Petrographic Analyses for Landslide Mapping and Monitoring
by: Aggeliki Kyriou, et al.
Published: (2021-03-01) -
SNR Enhancement of Back Scattering Signals for Bistatic Radar Based on BeiDou GEO Satellites
by: Yan Li, et al.
Published: (2021-03-01)