Vegetation phenology reflects the interactions between the physiological and ecological processes of vegetation and environmental changes and thus it is practically significant to research and develop the software used to extract the vegetation phenological information based on time series remote sensing data. The existing pieces of software mainly include those developed by foreign R&D staff based on specific remote sensing data. They integrate different methods for data smoothing and reconstruction and serve different users. The analysis and comparison of the functions and characteristics of the existing pieces of software will assist users to select more targeted software and can also provide references for the R&D of the software for vegetation phenology monitoring. This paper first briefly introduces the monitoring principles of vegetation phenological information using remote sensing data and commonly used data smoothing methods for the reconstruction of time series remote sensing data. Then it summarizes multiple pieces of professional software for vegetation phenology monitoring that integrate the reconstruction methods and phenological information extraction methods. Most especially, it introduces the software TIMESAT, SPIRITS, and DATimeS in detail and compares and analyzes their functions and characteristics. Finally, it puts forward the prospect of developing localization application software with user-friendly graphical user interfaces according to the development of remote sensing big data and the demand for vegetation phenology monitoring.
钞振华, 车明亮, 侯胜芳. 基于时间序列遥感数据植被物候信息提取软件发展现状[J]. 自然资源遥感, 2021, 33(4): 19-25.
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2021, Vol. 33 
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