北京测绘2025，Vol.39Issue(11)：1688-1694,7.DOI:10.19580/j.cnki.1007-3000.2025.11.020
星载GNSS-R技术在地表冻融判别中的应用
Application of spaceborne GNSS-R technology in surface freeze-thaw identification
魏涛 1韩磊1
作者信息
- 1. 江苏省地质勘查技术院,江苏 南京 210049
- 折叠
摘要
Abstract
Accurately identifying the freeze-thaw process plays an important role in climate and ecosystem studies.This paper focused on the transition characteristics of the surface freeze-thaw state in seasonal frozen soil and presented a study on the identification of near-surface freeze-thaw status in the Qinghai-Xizang Plateau region using global navigation satellite sys-tem reflectometry(GNSS-R)technology.The study was based on the cyclone global navigation satellite system(CYGNSS)observational data from 2020,combined with European Centre for Medium-Range Weather Forecasts(ECMWF)reanalysis v5(ERA-5)Land reanalysis data from the ECMWF,and the soil moisture active passive(SMAP)freeze-thaw product to construct a feature dataset.An extreme gradient boosting(XGBoost)machine learning algorithm was introduced to classify and identify the near-surface freeze-thaw states of the Qinghai-Xizang Plateau.The results show that the model built using CYGNSS data and XGBoost achieves an accuracy of 76.13%in freeze-thaw state classification,with an area under the curve(AUC)value of 0.77 in the receiver operating characteristic(ROC)curve.The high classification performance demon-strates the feasibility and effectiveness of GNSS-R technology in surface freeze-thaw detection.关键词
全球卫星导航系统反射(GNSS-R)技术/极限梯度树(XGBoost)/地表冻融/青藏高原/旋风卫星导航系统Key words
global navigation satellite system reflectometry(GNSS-R)/extreme gradient boosting(XGBoost)/surface freeze-thaw/Qinghai-Xizang Plateau/cyclone global navigation satellite system(CYGNSS)分类
天文与地球科学引用本文复制引用
魏涛,韩磊..星载GNSS-R技术在地表冻融判别中的应用[J].北京测绘,2025,39(11):1688-1694,7.
