Method for time series extraction of characteristic parameters from multidimensional remote sensing datasets

Lots of researches have been increasingly focusing on time series analysis of remote sensing datasets, deriving phenology time and trajectory parameters by carve fitting and detecting changes due to natural or artificial factors. For these applications extraction of various characteristic parameters is an indispensable and fundamental procedure. However, there is a lack of an integrated method currently to manage long time-series remote sensing imagery, meanwhile as a direct access to extracting time series of various characteristic parameters. In this paper we propose a user-friendly program for managing time series of remote sensing datasets, what's more, extracting time series data for areas like point, rectangle and general polygon, according to user-defined formula automatically computing and constructing time series of various characteristic parameters. In addition, spectral data for one day, after a point or scope is selected, is able to be extracted and processed using general spectral analysis methods. This program tries to manage four dimensional (including time, spatial and spectral dimensions) remote sensing datasets, and be applicable to outputting time series of characteristic parameters and spectral data, providing an innovatively fast and flexible tool for time-series studies.