Assessment of Regional Vegetation Response to Climate Anomalies: A Case Study for Australia Using GIMMS NDVI Time Series between 1982 and 2006.
Wanda De KeersmaeckerStefaan LhermitteMichael J. HillLaurent TitsPol CoppinBen SomersPublished in: Remote. Sens. (2017)
Keyphrases
- remote sensing
- land cover
- normalized difference vegetation index
- remote sensing data
- climate change
- change detection
- multispectral
- remotely sensed data
- weather prediction
- remote sensing images
- anomaly detection
- high resolution
- united states
- satellite images
- multivariate time series data
- test bed
- case study
- long term
- earth science
- satellite data
- detect anomalies
- hyperspectral
- remotely sensed
- rare events
- image processing
- remotely sensed images
- quality assessment
- multivariate time series
- supervised classification
- image classification
- neural network
- urban areas
- data sets
- short term
- image data
- image analysis
- chronic hepatitis