Python package: A RAO's Q diversity index-based application for land-cover/land-use change detection in multifunctional agricultural areas.
Andrea TassiAndrea MassettiArtur GilPublished in: Comput. Electron. Agric. (2022)
Keyphrases
- land cover
- change detection
- remote sensing images
- remote sensing
- satellite images
- remotely sensed images
- land cover change
- remote sensing imagery
- remotely sensed
- multispectral
- land cover classification
- urban areas
- remote sensing data
- satellite imagery
- landsat tm
- remotely sensed data
- image registration
- supervised classification
- data streams
- earth science
- geographic information systems
- climate change
- high resolution
- shot change detection
- data sets
- urban growth
- machine learning
- wavelet transformation
- multispectral images