<p dir="ltr"><b>Background</b></p><p dir="ltr">This project was supported by the NASA BioSCape Project: “Impacts of Invasive Alien Species on Biodiversity and Ecosystem Functioning”. The training data used to produce this classification are also available. This dataset consists of a raw, unprocessed classification map of key woody invasive alien plant taxa (hereafter “trees”) within the Cape Floristic Region. This classification was generated using Sentinel-2 satellite imagery at a 10 m resolution using a Random Forest machine learning classifier. There has been no post-processing, and therefore it should be used with caution, especially in combination with the uncertainty layer provided.</p><p dir="ltr"><b>Dataset specifications</b></p><ul><li>Data type: Raster (tiff)</li><li>Resolution: 10 m</li><li>Geographic Coordinate System: WGS 1984</li><li>Projected Coordinate System: Albers Equal Area projection (AEA)</li><li>There is no EPSG for this, however the Well-Known Text (WKT) for this projected coordinate system is as follows:</li><li>var wktAEA = 'PROJCS["AEA_RSA_WGS84",' +</li><li>'GEOGCS["GCS_WGS_1984",' +</li><li>'DATUM["D_WGS_1984",' +</li><li>'SPHEROID["WGS_1984",6378137.0,298.257223563]],' +</li><li>'PRIMEM["Greenwich",0.0],' +</li><li>'UNIT["Degree",0.0174532925199433]],' +</li><li>'PROJECTION["Albers"],' +</li><li>'PARAMETER["False_Easting",0.0],' +</li><li>'PARAMETER["False_Northing",0.0],' +</li><li>'PARAMETER["Central_Meridian",25.0],' +</li><li>'PARAMETER["Standard_Parallel_1",-24.0],' +</li><li>'PARAMETER["Standard_Parallel_2",-33.0],' +</li><li>'PARAMETER["Latitude_Of_Origin",0.0],' +</li><li>'UNIT["Meter",1.0]]';</li></ul><p dir="ltr"><b>Properties</b></p><p><br></p><ul><li>Bands: This raster has two bands, the details of which are described in Table 1.</li><li>Classes: Six classes of woody invasive alien plants were mapped in this classification (Table 2). This classification goes to genus level only and gives only presence/absence information together with information on uncertainty. Some classes were much harder to map than others and hence have higher uncertainty, such as Poplar and Hakea. A class was added for all the other invasive alien taxa which had large coverage though not enough for their own classes: “Other”.</li></ul><p dir="ltr"><b>Training Data</b></p><ul><li>Rebelo, AJ & Coertze, N. 2024. BioSCape Causal Inference Training Dataset. Stellenbosch University. Dataset. DOI: https://doi.org/10.25413/sun.27633564.</li><li>Rebelo, AJ & Coertze, N. 2024. BioSCape Causal Inference Training Dataset. Stellenbosch University. Dataset. DOI: https://doi.org/10.25413/sun.27633546</li></ul><p></p>
Funding
This project was partially supported by NASA funding.
Rebelo, AJ, Coertze, N & Rebelo, AG. 2024. BioScape Invasive Alien Tree and Uncertainty Maps for the Cape Floristic Region of South Africa. Stellenbosch University. Dataset. DOI: https://doi.org/10.25413/sun.27377211