Clustering Methods to Asses Land Cover Samples of MODIS Vegetation Indexes Time Series.
Lorena A. SantosRolf Ezequiel O. SimõesKarine Reis FerreiraGilberto Ribeiro de QueirozGilberto CâmaraRafael D. C. SantosPublished in: ICCSA (6) (2017)
Keyphrases
- land cover
- remote sensing data
- remote sensing
- multispectral
- change detection
- land cover classification
- remote sensing images
- supervised classification
- satellite data
- satellite images
- remotely sensed images
- geographic information systems
- remote sensing imagery
- remotely sensed data
- remotely sensed
- satellite imagery
- land cover change
- climate change
- environmental variables
- data sets
- normalized difference vegetation index
- urban growth
- high resolution
- landsat tm
- training set
- urban areas
- multispectral images
- hyperspectral
- supervised learning
- image data
- query processing
- databases
- b tree
- image analysis