Mapping High Spatiotemporal-Resolution Soil Moisture by Upscaling Sparse Ground-Based Observations Using a Bayesian Linear Regression Method for Comparison with Microwave Remotely Sensed Soil Moisture Products.
Jian KangRui JinXin LiYang ZhangPublished in: Remote. Sens. (2021)
Keyphrases
- soil moisture
- remotely sensed
- regression method
- hyperspectral images
- synthetic aperture radar
- sar images
- nonlinear regression
- hyperspectral
- remote sensing
- image reconstruction
- maximum likelihood
- change detection
- regression model
- multispectral
- high resolution
- knn
- regression analysis
- linear regression
- remotely sensed images
- partial least squares
- image analysis
- satellite images
- infrared
- support vector regression
- parameter estimation
- moving objects
- high dimensional
- data analysis
- land cover
- kernel function
- image processing
- training set
- neural network
- multispectral images
- pattern recognition
- support vector
- multiscale