Spatial Downscaling and Gap-Filling of SMAP Soil Moisture to High Resolution Using MODIS Surface Variables and Machine Learning Approaches over ShanDian River Basin, China.
Adeel Ahmad NadeemYuanyuan ZhaLiangsheng ShiShoaib AliXi WangZeeshan ZafarZeeshan AfzalMuhammad Atiq Ur Rehman TariqPublished in: Remote. Sens. (2023)
Keyphrases
- machine learning approaches
- river basin
- remote sensing
- high resolution
- geographical information systems
- soil moisture
- remote sensing data
- hyperspectral images
- machine learning methods
- remote sensing images
- satellite images
- hyperspectral
- multispectral
- machine learning
- super resolution
- change detection
- spatial information
- sustainable development
- image processing
- water resources
- machine learning algorithms
- spatial data
- data mining methods
- high frequency
- spatial resolution
- high quality
- economic development
- multispectral images
- metadata
- spatial reasoning
- geographic information systems