Global oil palm extent and planting year from 1990 to 2021

<p>This repository contains a 10-m global oil palm extent layer for 2021 and a 30-m oil palm planting year layer from 1990 to 2021. The oil palm extent layer was produced using a convolutional neural network that identified industrial and smallholder plantations in Sentinel-1 data. The oil palm planting year was developed using a methodology specifically designed to detect the early stages of oil palm development in the Landsat time series.&nbsp;</p> <p>The repository contains the following data:</p> <p>- Grid_OilPalm2016-2021.shp: shapefile that delineates the 609 grid cells of 100 x 100 km where oil palm was found.</p> <p>- GlobalOilPalm_OP-extent.zip: 609 raster tiles of 100x100 km in geotiff format. The raster files show the results of the deep learning classification at a spatial resolution of 10 meters. The classes are the following:</p> <p>[0] Other land covers that are not oil palm.</p> <p>[1] Industrial oil palm plantations</p> <p>[2] Smallholder oil palm plantations.</p> <p>- GlobalOilPalm_YoP.zip: 609 raster tiles of 100x100 km in geotiff format. The raster files depict the year of oil palm plantation. The raster files have a spatial resolution of 30 meters.</p> <p>- Validation_points_GlobalOP2016-2021.shp: shapefile that contains the 18,812 points used to validate the global oil palm extent 2016&ndash;2021 and the oil palm age layer. Each point includes the attribute &lsquo;Class&rsquo;, which is the class assigned by visual interpretation of sub-meter resolution images, and the attributes &lsquo;OP2016-2021&rsquo; and &lsquo;OP2019&rsquo;, which show the mapped classes in the oil palm extent 2016&ndash;2021 (this dataset) and the global oil palm layer 2019 (Descals et al., 2021), respectively. These attributes contain the following class values:</p> <p>[0] Other land covers that are not oil palm.</p> <p>[1] Industrial oil palm plantations.</p> <p>[2] Smallholder oil palm plantations.</p> <p>The oil palm extent and the planting year can be visualized at: https://ee-globaloilpalm.projects.earthengine.app/view/global-oil-palm-planting-year-1990-2021. This web map allows for the inspection of Landsat time series and the visualization of historical satellite images for a given oil palm plantation.</p> <p>If you are interested in obtaining the GeoTIFF file for a specific region, please refer to this Google Earth Engine script, which shows the IDs of each tile:<br>https://code.earthengine.google.com/284cf1dc974295c57fe55bccf5acd83e&nbsp;</p> <p>Changelog v1.2: The validation dataset includes 1,000 additional points generated using stratified random sampling: 300 points for the class &lsquo;smallholder oil palm&rsquo; and 700 points for &lsquo;industrial oil palm&rsquo;. The shapefile contains a new attribute, 'Sampling_type', which specifies whether the points were generated with simple or stratified random sampling.&nbsp;&nbsp;</p>