Time Series Segmentation of Residual Trends
Precipitation Accumulation Table for the standard RESTREND demonstrati...
TSS.RESTREND: Time Series Segmented RESidual TREND
Vegetation change attribution using the Time Series Segmentation of Re...
Time Series Segmentation of Residual Trends (MAIN FUNCTION)
BFAST Breakpoint Detector
Antecedental Rainfall (and temperature) Accumulation calculator for th...
Annual max VI Calculator
Antecedental accumulation calculator for the annual max VI time series
Chow test on detected breakpoints
Climate Accumulator
Franks CO2 Vegetation correction
Plot Function for ojects of the TSSRESTREND class
Print function for class TSSRESTREND
RESTREND (RESidual TREND)
Segmented RESTREND (RESidual TREND)
Segmented Vegetation Climate Relationship
Data frame containing the raw rainfall data set for the segRESTREND da...
Data frame containing the Complete Times Series data for a segmented R...
Precipitation Accumulation Table for the segRESTREND demonstration pix...
Data frame containing the Complete Times Series data for a segmented V...
Precipitation Accumulation Table for the segVPR demonstration pixel
Data frame containing the raw rainfall data set ending dec 2013 with a...
Data frame containing the Complete Times Series data for a standard Re...
Time Series Segmented Residual Trends is a method for the automated detection of land degradation from remotely sensed vegetation and climate datasets. TSS-RESTREND incorporates aspects of two existing degradation detection methods: RESTREND which is used to control for climate variability, and BFAST which is used to look for structural changes in the ecosystem. The full details of the testing and justification of the TSS-RESTREND method (version 0.1.02) are published in Burrell et al., (2017). <doi:10.1016/j.rse.2017.05.018>. The changes to the method introduced in version 0.2.03 focus on the inclusion of temperature as an additional climate variable. This allows for land degradation assessment in temperature limited drylands. A paper that details this work is currently under review. There are also a number of bug fixes and speed improvements. Version 0.3.0 introduces additional attribution for eCO2, climate change and climate variability the details of which are in press in Burrell et al., (2020). The version under active development and additional example scripts showing how the package can be applied can be found at <https://github.com/ArdenB/TSSRESTREND>.