Plasticulture detection at the country scale by combining multispectral and SAR satellite data

Description

Table of contents

The data is split into 4 parts:

Part 1 – Regions for training plasticulture detection: the shapefile contains polygonal areas collected in Western Germany and used to train a random forest algorithm for plasticulture detection. The data is stored in file ESR02_11.zip while meta data can be found in ESR02_11.pdf.

Part 2 – Google Earth Engine scripts for plasticulture detection: the folder contains 5 Jupyter Notebook files, representing the scripts used to detect plasticulture in Germany, and to export and evaluate the results. The data is stored in file ESR02_12.zip while meta data can be found in ESR02_12.pdf.

Part 3 – Plasticulture area in Germany on a hexagonal grid: the shapefile contains a hexagonal grid covering the German territory, where the area covered by plastic free farmland, plastic mulched farmland, and plastic covers above vegetation was calculated for each hexagon. The data is stored in file ESR02_13.zip while meta data can be found in ESR02_13.pdf.

Part 4 – Plasticulture area in Germany on a hexagonal grid - false hotspots unmasked: the shapefile contains a hexagonal grid covering the German territory, where the area covered by plastic free farmland, plastic mulched farmland, and plastic covers above vegetation was calculated for each hexagon, before identifying the regions of false plastic detection. The data is stored in file ESR02_14.zip while meta data can be found in ESR02_14.pdf.