Cloud technologies as a tool of creating Earth Remote Sensing educational resources.
Ihor V. KholoshynOlga V. BondarenkoOlena V. HanchukIryna M. VarfolomyeyevaPublished in: CTE (2019)
Keyphrases
- remote sensing
- educational resources
- earth observation
- application profiles
- change detection
- software tools
- remote sensing images
- multispectral
- ieee lom
- high resolution
- satellite data
- remote sensing imagery
- remote sensing data
- image processing
- e learning
- image analysis
- learning objects
- hyperspectral
- image fusion
- high spatial resolution
- earth science
- satellite images
- educational content
- environmental sciences
- learning resources
- digital libraries
- open educational resources
- land cover
- hyperspectral remote sensing
- digital image analysis
- science education
- sensor data
- digital repositories
- geographical information systems
- automatic image registration
- climate change
- hyperspectral imagery
- cloud computing
- neural network
- data mining
- metadata
- learning algorithm
- multi spectral images
- database
- remotely sensed data
- high quality
- learning environment
- image data
- higher education
- satellite imagery