Supporting Aquaculture in the Chesapeake Bay Using Artificial Intelligence to Detect Poor Water Quality with Remote Sensing.
Stephanie Schollaert UzTroy J. AmesNargess MemarsadeghiShannon M. McDonnellNeil V. BloughAmita V. MehtaJohn R. McKayPublished in: IGARSS (2020)
Keyphrases
- remote sensing
- water quality
- artificial intelligence
- quality management
- dissolved oxygen
- change detection
- remote sensing images
- multispectral
- remote sensing data
- environmental sciences
- high resolution
- image analysis
- image processing
- hyperspectral
- remote sensing imagery
- water treatment
- satellite imagery
- digital image analysis
- expert systems
- image fusion
- satellite data
- satellite images
- hyperspectral remote sensing
- measured data
- computer science
- remotely sensed
- high spatial resolution
- remotely sensed imagery
- water level
- remotely sensed images
- detection method
- hyperspectral imagery
- multi spectral images
- remotely sensed data
- hyperspectral imaging
- multispectral images
- water resources
- land cover
- earth observation
- digital images
- neural network
- face detection
- weather prediction
- land cover classification
- image segmentation
- automatic image registration
- hyperspectral images
- remote sensed images