On a Data-Driven Approach for Detecting Disturbance in the Brazilian Savannas Using Time Series of Vegetation Indices.
Alana Almeida de SouzaLênio Soares GalvãoThales Sehn KörtingCláudio Aparecido de AlmeidaPublished in: Remote. Sens. (2021)
Keyphrases
- data driven
- non stationary
- remote sensing
- dynamic time warping
- image data
- turning points
- stock market
- detect anomalies
- moving average
- multivariate time series
- temporal patterns
- land use change
- chronic hepatitis
- financial time series
- remote sensing data
- stock price
- information systems
- anomaly detection
- artificial neural networks
- multiscale