APPLYING TERRAIN AND HYDROLOGICAL EDITING TO TANDEM-X DATA TO CREATE A CONSUMER-READY WORLDDEM PRODUCT

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2. Applicability of Data Acquisition Characteristics to the Identification of Local Artefacts in Global Digital Elevation Models: Comparison of the Copernicus and TanDEM-X DEMs J. Marešová et al. https://doi.org/10.3390/rs13193931
3. ICESat-2 for evaluating space-borne and national digital elevation models across forest and non-forest landscapes in Kastamonu, Türkiye A. Altunel et al. https://doi.org/10.1016/j.asr.2025.07.004
4. Vertical Accuracy Assessment of DSM from TerraSAR-X and DTM from Aerial Photogrammetry on Paddy Fields – Karawang, Indonesia B. Riadi et al. https://doi.org/10.25046/aj030416
5. Shaping the Global High-Resolution TanDEM-X Digital Elevation Model M. Huber et al. https://doi.org/10.1109/JSTARS.2021.3095178
6. TanDEM-X IDEM precision and accuracy assessment based on a large assembly of differential GNSS measurements in Kruger National Park, South Africa J. Baade & C. Schmullius https://doi.org/10.1016/j.isprsjprs.2016.05.005
7. Evaluation of Copernicus DEM and Comparison to the DEM Used for Landsat Collection-2 Processing S. Franks & R. Rengarajan https://doi.org/10.3390/rs15102509
8. High-Accuracy Mangrove Extraction and Degradation Diagnosis Using Time-Series Remote Sensing and Deep Learning: A Case Study of the Largest Delta in the Northern Beibu Gulf, China X. Xie et al. https://doi.org/10.3390/w18050617