Spatio-Temporal Variations and Driving Forces of Harmful Algal Blooms in Chaohu Lake: A Multi-Source Remote Sensing Approach.
Jieying MaShuanggen JinJian LiYang HeWei ShangPublished in: Remote. Sens. (2021)
Keyphrases
- multi source
- water quality
- remote sensing
- driving forces
- remote sensing imagery
- data fusion
- change detection
- remote sensing images
- information fusion
- multispectral
- satellite data
- image analysis
- image processing
- remote sensing data
- measured data
- multiple sources
- knowledge sharing
- data integration
- image fusion
- high resolution
- hyperspectral
- satellite imagery
- satellite images
- multi spectral images
- image sequences
- automatic image registration
- data sources
- moving objects
- remotely sensed
- digital image analysis
- earth observation
- remote sensed images
- climate change
- multi attribute
- geospatial information
- hyperspectral images
- knowledge management
- video sequences
- high quality
- remotely sensed data
- computer vision
- machine learning
- data mining