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  "Title": "Time Series Segmentation of Residual Trends",
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  "Description": "Time Series Segmented Residual Trends is a method for the\nautomated detection of land degradation from remotely sensed\nvegetation and climate datasets. TSS-RESTREND incorporates\naspects of two existing degradation detection methods: RESTREND\nwhich is used to control for climate variability, and BFAST\nwhich is used to look for structural changes in the ecosystem.\nThe full details of the testing and justification of the\nTSS-RESTREND method (version 0.1.02) are published in Burrell\net al., (2017). <doi:10.1016/j.rse.2017.05.018>. The changes to\nthe method introduced in version 0.2.03 focus on the inclusion\nof temperature as an additional climate variable. This allows\nfor land degradation assessment in temperature limited\ndrylands. A paper that details this work is currently under\nreview. There are also a number of bug fixes and speed\nimprovements. Version 0.3.0 introduces additional attribution\nfor eCO2, climate change and climate variability the details of\nwhich are in press in Burrell et al., (2020).  The version\nunder active development and additional example scripts showing\nhow the package can be applied can be found at\n<https://github.com/ArdenB/TSSRESTREND>.",
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