Monitoring abrupt changes in satellite time series by seasonal confidence interval of regression residuals

DOI10.1142/S0219691316500223zbMath1347.62205OpenAlexW2345981667MaRDI QIDQ2818320

Ping Tang, Zengguang Zhou, Changmiao Hu, Zheng Zhang

Publication date: 7 September 2016

Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0219691316500223

zbMATH Keywords

time series analysischange detectionremote sensinganomaly detectiontime-varying varianceseasonal variabilityland cover change

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Signal detection and filtering (aspects of stochastic processes) (60G35)

Uses Software

• TSA
• TIMESAT

Cites Work

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• MODIS NDVI time series clustering under dynamic time warping
• EXPECTATION‐MAXIMIZATION ALGORITHMS AND THE ESTIMATION OF TIME SERIES MODELS IN THE PRESENCE OF OUTLIERS

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