Using Robust Regression to Retrieve Soil Moisture from CyGNSS Data

Using Robust Regression to Retrieve Soil Moisture from CyGNSS Data

Accurate global soil moisture (SM) data are crucial for modeling land surface hydrological cycles and monitoring climate change. Spaceborne global navigation satellite system reflectometry (GNSS-R) has attracted extensive attention due to its unique advantages, such as faster revisit time, lower pay...

Full description

Bibliographic Details
Main Authors: Qi Liu, Shuangcheng Zhang, Weiqiang Li, Yang Nan, Jilun Peng, Zhongmin Ma, Xin Zhou
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Remote Sensing
Subjects:
soil moisture
CyGNSS
reflectivity
vegetation
roughness
Online Access:https://www.mdpi.com/2072-4292/15/14/3669

Internet

https://www.mdpi.com/2072-4292/15/14/3669

Similar Items