This digitial elevation model (DEM) is derived from CGIAR-CSI SRTM v4.1 and ASTER GDEM v2 data products, and has been processed and mergedm inculding void-filling and smoothing of irregularities, to provide continuous coverage of ~91% of the globe.<br><br>For full processing and merging methodology see: <a href="https://www.sciencedirect.com/science/article/abs/pii/S0924271613002360"target="_blank">Robinson et al. (2014)</a>.<br/><br>Data can also be downloaded from <a href="http://www.earthenv.org/DEM"target="_blank">EarthEnv</a>. This specific layer is the cropped version by the South Sudan administrative boundaries of the global layer that is available at <a href="https://app.mapx.org?project=MX-XNI-RMZ-KKL-FMS-DVH&views=MX-AYR3I-HH9EC-LDLGC" target="_blank"> DEM90 - UnBiodiversityLab</a>. <br/><br> <br/><br>This data available under a <a href="https://creativecommons.org/licenses/by/4.0/"target="_blank">Creative Commons Attribution 4.0 International License</a> and is provided without any warranty of any kind whatsoever, either express or implied, including warranties of merchantability and fitness for a particular purpose. The creators of the product shall not be liable for incidental, consequential, or special damages arising out of the use of any data.<br/> EPSG:3857