8 November 2014 A method for monitoring land-cover disturbance using satellite time series images
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Land cover disturbance is an abrupt ecosystem change that occurs over a short time period, such as flood, fire, drought and deforestation. It is crucial to monitor disturbances for rapid response. In this paper, we propose a time series analysis method for monitoring of land-cover disturbance with high confidence level. The method integrates procedures including (1) modeling of a piece of history time series data with season-trend model and (2) forecasting with the fitted model and monitoring disturbances based on significance of prediction errors. The method is tested using 16-day MODIS NDVI time series to monitor abnormally inundated areas of the Tongjiang section of Heilongjiang River of China, where had extreme floods and bank break in summer 2013. The test results show that the method could detect the time and areas of disturbances for each image with no detection delay and with high specified confidence level. The method has few parameters to be specified and less computation complexity so that it could be developed for monitoring of land-cover disturbance on large scales.
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Zengguang Zhou, Zengguang Zhou, Ping Tang, Ping Tang, Zheng Zhang, Zheng Zhang, "A method for monitoring land-cover disturbance using satellite time series images", Proc. SPIE 9260, Land Surface Remote Sensing II, 926038 (8 November 2014); doi: 10.1117/12.2068929; https://doi.org/10.1117/12.2068929

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