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11 to 20 of 904 Results
Anhang 3.1.tab
Dec 16, 2020 - Ergänzungsmaterial zu: L’usage des ressources animales au Néolithique en Mittelelbe-Saale (Allemagne centrale): la faune des enceintes de Wallendorf « Hutberg » et Salzmünde « Schiepzig » dans leur contexte régional
Tabular Data - 90 B - 5 Variables, 3 Observations - UNF:6:an86pZutuVGAi15OCCnEtg==
Anhang 3.2.tab
Dec 16, 2020 - Ergänzungsmaterial zu: L’usage des ressources animales au Néolithique en Mittelelbe-Saale (Allemagne centrale): la faune des enceintes de Wallendorf « Hutberg » et Salzmünde « Schiepzig » dans leur contexte régional
Tabular Data - 95 B - 5 Variables, 3 Observations - UNF:6:SibwvPj0yHO/XY0lQPVMYA==
Anhang 4.tab
Dec 16, 2020 - Ergänzungsmaterial zu: L’usage des ressources animales au Néolithique en Mittelelbe-Saale (Allemagne centrale): la faune des enceintes de Wallendorf « Hutberg » et Salzmünde « Schiepzig » dans leur contexte régional
Tabular Data - 2.7 KB - 25 Variables, 36 Observations - UNF:6:8sn6EJGojRJCKyeDDdztEg==
Hoeltkemeier_annexe-anhang.pdf
Hoeltkemeier_annexe-anhang.pdf
Dec 16, 2020 - Ergänzungsmaterial zu: L’usage des ressources animales au Néolithique en Mittelelbe-Saale (Allemagne centrale): la faune des enceintes de Wallendorf « Hutberg » et Salzmünde « Schiepzig » dans leur contexte régional
Adobe PDF - 136.9 KB - MD5: 31d9aad23d63cf3cec09898b676ea0da
Mapping Public Urban Green Spaces based on OpenStreetMap and Sentinel-2 imagery using Belief Functions: Data and Source Code
Mapping Public Urban Green Spaces based on OpenStreetMap and Sentinel-2 imagery using Belief Functions: Data and Source Code
Dec 15, 2020 - GIScience / Geoinformatics Research Group
Ludwig, Christina; Hecht, Robert; Lautenbach, Sven; Schorcht, Martin; Zipf, Alexander, 2020, "Mapping Public Urban Green Spaces based on OpenStreetMap and Sentinel-2 imagery using Belief Functions: Data and Source Code", https://doi.org/10.11588/data/UYSAA5, heiDATA, V1, UNF:6:+pceldpLQoaQQqPk4/t1VQ== [fileUNF]
Public urban green spaces are important for the urban quality of life. Still, comprehensive open data sets on urban green spaces are not available for most cities. As open and globally available data sets the potential of Sentinel-2 satellite imagery and OpenStreetMap (OSM) data...
01_Greenness_Basic_Probability_Assignment.ipynb
Dec 15, 2020 - Mapping Public Urban Green Spaces based on OpenStreetMap and Sentinel-2 imagery using Belief Functions: Data and Source Code
Jupyter Notebook - 184.8 KB - MD5: 99f2ba63e6a7dde837fdec4976df4dad
02_Greenness_Fusion_and_Validation.ipynb
Dec 15, 2020 - Mapping Public Urban Green Spaces based on OpenStreetMap and Sentinel-2 imagery using Belief Functions: Data and Source Code
Jupyter Notebook - 404.1 KB - MD5: 0a2cf024c3da9737f016a427c1523c29
03_Public_Accessibility_Model.ipynb
Dec 15, 2020 - Mapping Public Urban Green Spaces based on OpenStreetMap and Sentinel-2 imagery using Belief Functions: Data and Source Code
Jupyter Notebook - 712.0 KB - MD5: 1d6de57d17c8bf61e872a21031e455cd
04_Green_Public_Fusion.ipynb
Dec 15, 2020 - Mapping Public Urban Green Spaces based on OpenStreetMap and Sentinel-2 imagery using Belief Functions: Data and Source Code
Jupyter Notebook - 921.4 KB - MD5: c96cff3181dd05797f2104b4afb6877f
accuracy_vs_uncertainty.pdf
accuracy_vs_uncertainty.pdf
Dec 15, 2020 - Mapping Public Urban Green Spaces based on OpenStreetMap and Sentinel-2 imagery using Belief Functions: Data and Source Code
Adobe PDF - 14.8 KB - MD5: a9c8d1829dc139b55828beae21b44f98
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