Developing a community-based worldwide urban morphology and materials database (WUDAPT) using remote sensing and crowdsourcing for improved urban climate modelling.
Linda SeeChristoph PergerMartina DürauerSteffen FritzBenjamin BechtelJason ChingPaul J. AlexanderGerald MillsMicheal FoleyMartin O'ConnorIain StewartJohannes FeddemaValéry MassonPublished in: JURSE (2015)
Keyphrases
- remote sensing
- climate change
- land cover
- urban growth
- database
- image processing
- remote sensing images
- image analysis
- multispectral
- hyperspectral remote sensing
- spatial analysis
- change detection
- hyperspectral
- urban areas
- remote sensing imagery
- satellite images
- weather prediction
- high resolution
- satellite data
- remote sensing data
- image fusion
- remotely sensed images
- database systems
- remotely sensed
- hyperspectral imagery
- automatic image registration
- high spatial resolution
- multi spectral images
- satellite imagery
- databases
- remotely sensed imagery
- multispectral images
- remotely sensed data
- hyperspectral images
- hyperspectral imaging
- database management
- machine learning
- data management
- database applications
- image segmentation
- earth science
- digital image analysis
- land cover classification
- image data