On the Use of Sentinel-2 NDVI Time Series and Google Earth Engine to Detect Land-Use/Land-Cover Changes in Fire-Affected Areas.
Rosa LasaponaraNicodemo AbateCarmen FattoreAngelo AromandoGianfranco CardettiniMarco Di FonzoPublished in: Remote. Sens. (2022)
Keyphrases
- land cover
- google earth
- satellite images
- normalized difference vegetation index
- remote sensing
- urban areas
- multispectral
- remote sensing data
- change detection
- remote sensing images
- satellite imagery
- land cover classification
- satellite data
- remotely sensed
- optical images
- google maps
- remotely sensed data
- urban growth
- high resolution
- geographic information systems
- hyperspectral
- supervised classification
- machine learning
- image processing
- computer vision