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Bookmark or Share- TIMESAT for Processing Time-Series Data from Satellite ... - SpringerTIMESAT has been used in a number of application fields: mapping of phenology and phenological variations; ecological disturbances; vegetation classification and characterization; agriculture applications; climate applications; and for improving remote sensing signal quality.
- Welcome to the TIMESAT pages! - LuTIMESAT (current free version is 3.3) is a software package for analysing time-series of satellite sensor data. We have developed TIMESAT to be able to investigate the seasonality of satellite time-series data and their relationship with dynamic properties of vegetation, such as phenology and temporal development.
- TIMESAT 3.3 with seasonal trend decomposition and parallel ... - LuTimesat is primarily designed to process time-series of vegetation index derived from satellite spectral measurements. However, other types of data such as meteorological index, fire data, and eddy co-variance carbon flux data can also be processed (Verbesselt et al., 2006, Le Page et al., 2010).
- TIMESAT—a program for analyzing time-series of satellite sensor dataAbstract. Three different least-squares methods for processing time-series of satellite sensor data are presented. The first method uses local polynomial functions and can be classified as an adaptive Savitzky–Golay filter. The other two methods are more clear cut least-squares methods, where data are fit to a basis of harmonic functions and ...
- TIMESAT - a program for analyzing time-series of satellite sensor dataTo enable efficient analysis of future Earth Observation data sets, developments of TIMESAT are directed towards processing of high-spatial resolution data from e.g. Landsat and Sentinel-2, and use of spatio-temporal data processing methods.
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