AgriExp2022

Supplementary Materials to accompany the paper

Conesa, F.C., Orengo, H.A., Lobo, A., Petrie, C., 2022, An algorithm to detect endangered cultural heritage by agricultural expansion in drylands at a global scale, Remote Sensing, 15, 53

Link to the original publication -> https://www.mdpi.com/2072-4292/15/1/53

AgriExp2022 repository includes the following files:

JavaScript code to be implemented in Google Earth Engine(c)

1. script_AgriExp_v1.txt -> first version of the AgriExp algorithm
2. script_TimeSeries.txt -> MODIS NDVI regional time series

R script

3. script_AgriExp_R.txt -> Summary statistics, counts and plot visualisation of AgriExp vector output table

Dataset

4. 20221104_T0_4_AgriExp_buffers_dist50.csv -> AgriExp vector ouput table

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Last repository update -> 25 Aug 2023

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