Improvement of Snow Depth Inversion Derived From Terrain Tilt Correction and Multi-GNSS Measurements Using the Helmert Variance Component Estimation
Author:
Affiliation:
1. Institute of Geospatial Information, PLA Information Engineering University, Zhengzhou, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10097458.pdf?arnumber=10097458
Reference52 articles.
1. Editing arcs to improve the capacity of GNSS-IR for soil moisture retrieval in undulating terrains
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4. Sensing vegetation growth with reflected GPS signals
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2. Robust LS-VCE for the Nonlinear Gauss–Helmert Model: Case Studies for Point Cloud Fitting and Geodetic Symmetric Transformation;IEEE Transactions on Geoscience and Remote Sensing;2024
3. A High Spatiotemporal Resolution Snow Depth Inversion Solution With Multi-GNSS-IR in Complex Terrain;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024
4. Snow Depth Retrieval With Multiazimuth and Multisatellite Data Fusion of GNSS-IR Considering the Influence of Surface Fluctuation;IEEE Transactions on Geoscience and Remote Sensing;2023
5. Enhancing Snow Depth Estimations Through Iterative Satellite Elevation Range Selection in GNSS-IR to Account for Terrain Variation;IEEE Transactions on Geoscience and Remote Sensing;2023
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