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Abstract:
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Very often time series derived from Earth Observation (EO) data are used to monitor ecosystems health, climate extreme events and overall find trends on the land surface. In this study we use the Tools for Analysing Time Series of Satellite Imagery (TATSSI) to derive time series of different EO data products to conduct an analysis of different vegetation biophysical parameters on different ecosystems, from coffee plantation areas in Colombia to deciduous forest in Mexico and cropland over the United Kingdom. TATSSI allows the time series generation processing easier allowing the user to i) download different EO datasets, ii) performing a pre-processing to mask all values not adequate for further scientific analysis using Quality Assessment (QA) flags, iii) time series interpolation and smoothing and iv) providing tools to apply diverse data analytics such as derivation of anomalies based on a long-term climatology, change point detection and trend analysis. The case-studies present an overview of how TATSSI can be used to monitor ecosystems at local and regional scales and how relevant is the treatment of QA on EO datasets to characterise land surface processes.
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