20241001 12424800 1.0 TRUE CreateMosaicDataset \\gis-im01\IM01_Daten\McDatasets_IM01.gdb karte_geofast_50_neu PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0]] 3 "8-bit unsigned" None # AddRastersToMosaicDataset \\gis-im01\IM01_Daten\McDatasets_IM01.gdb\karte_geofast_50_neu "Raster Dataset" \\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_001_Neuhaus_2022_202308.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_002_Kuschwarda_2017_201702_adsn900029836.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_003_Wallern_2017_201702_adsn900029837.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_004_Gratzen_2022_202306.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_005_Gmuend_2023_202308.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_010_Wildenduernbach_2018_201809.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_011_Drasenhofen_2018_201809.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_013_Engelhartszell_2016_201703_adsn900029834.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_014_Rohrbach_in_OOe_2016_201703_adsn900029835.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_015_BadLeonfelden_2017_201709_adsn900030028.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_021_Horn_2023_202308.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_024_Mistelbach_2018_201809_adsn900030073.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_025_Poysdorf_2018_201809_adsn900030083.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_026_Hohenau_an_der_March_2018_201809_adsn900030086.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_027_Braunau_am_Inn_2017_201707_adsn900030025.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_028_Altheim_2019_201910_adsn900030664.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_029_Schaerding_2020_202101_adsn900030765.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_030_Neumarkt_im_Hausruckkreis_2020_202101_adsn900030768.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_031_Eferding_2020_202101_adsn900030767.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_032_Linz_2023_202307_adsn900031054.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_040_Stockerau_2020_202102_adsn900030766.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_041_DeutschWagram_2018_201812_adsn900030087.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_042_Gaenserndorf_2018_201809_adsn900030084.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_043_Marchegg_2018_201809_adsn900030082.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_044_Ostermiething_2019_201910_adsn900030665.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_045_Ranshofen_2019_201910_adsn900030666.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_046_Mattighofen_2019_201907_adsn900030667.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_048_Voecklabruck_2019_201910_adsn900030663.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_050_BadHall_2019_201912_adsn900030672.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_051_Steyr_2019_201912_adsn900030673.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_052_SanktPeter_in_der_Au_2019_201912_adsn900030674.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_053_Amstetten_2019_201912_adsn900030675.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_054_Melk_2018_201803_adsn900030027.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_068_Kirchdorf_an_der_Krems_2023_202308.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_073_Tuernitz_2013_201304_adsn900028413.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_074_Hohenberg_2013_201304_adsn900028414.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_084_Jungholz_2009_201010_adsn900022314.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_085_Vils_2009_201010_adsn900022313.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_086_Ammerwald_2009_201603_adsn900030039.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_087_Walchensee_2006_200709_adsn900028415.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_089_Angath_2006_200709_adsn900028417.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_090_Kufstein_2006_200808_adsn900028419.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_091_StJohann_in_Tirol_2006_200811_adsn900028421.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_092_Lofer_2006_200709_adsn900028423.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_093_BadReichenhall_2007_200905_adsn900028425.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_097_Bad_Mitterndorf_2019_202207.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_098_Liezen_2014_201409_adsn900030037_1.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_099_Rottenmann_2014_201409_adsn900030036.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_100_Hieflau_2014_201409_adsn900030011.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_103_Kindberg_2018_201809_adsn900030074.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_112_Bezau_2008_201010_adsn900028441.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_115_Reutte_2009_200910_adsn900022311.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_116_Telfs_2010_201603_adsn900030034.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_118_Innsbruck_2008_201302_adsn900028442.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_119_Schwaz_2008_200811_adsn900022388.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_120_Woergl_2008_200809_adsn900022385.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_121_Neukirchen_am_Grossvenediger_2008_200811_adsn900022389.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_124_Saalfelden_am_SteinernenMeer_2013_201303_adsn900028443.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_125_Bischofshofen_2013_201303_adsn900028444.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_126_Radstadt_2023_202306.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_128_Groebming_2020_202103_adsn900030775.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_132_Trofaiach_2015_201603_adsn900029680.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_133_Leoben_2015_201603_adsn900029679.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_136_Hartberg_2015_201604_adsn900029678.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_142_Schruns_1999_201206_adsn900028462.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_143_StAnton_am_Arlberg_2011_201107_adsn900028463.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_145_Imst_2011_201107_adsn900028464.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_146_Oetz_2011_201117_adsn900028465.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_147_Axams_2011_201107_adsn900028466.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_149_Lanersbach_2005_201407_adsn900030033.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_150_Mayerhofen_2005_200806_adsn900028470.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_154_Rauris_2021_202110_adsn900030922.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_155_BadHofgastein_2021_202110_adsn900030923.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_161_Knittelfeld_2015_201603_adsn900029677.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_165_Weiz_2015_201603_adsn900029676.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_166_Fuerstenfeld_2015_201603_adsn900029675.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_168_Eberau_2015_201603_adsn900029674.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_171_Nauders_2011_201107_adsn900028481.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_172_Weißkugel_2012_201603_adsn900028483.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_173_Soelden_2012_201603_adsn900030031.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_174_Timmelsjoch_2012_201202_adsn900028485.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_176_Muehlbach_2006_201309_adsn900028487.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_177_StJakob_in_Defereggen_2006_201804_adsn900030045.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_178_Hopfgarten_in_Defereggen_2006_201603_adsn900030045.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_181_Obervellach_2022_202306.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_184_EbeneReichenau_2023_202306.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_185_Straßburg_2014_201406_adsn900030026.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_190_Leibnitz_2015_201604_adsn900029673.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_191_Kirchbach_in_Steiermark_2015_201604_adsn900029671.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_192_Feldbach_2015_201604_adsn900029672.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_193_Jennersdorf_2015_201604_adsn900029670.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_194_Krottendorf_2015_201603_adsn900029669.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_204_Voelkermarkt_2020_202003_adsn900030690.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_207_Arnfels_2021_202110_adsn900030925.tif UPDATE_CELL_SIZES UPDATE_BOUNDARY NO_OVERVIEWS # 0 1500 "PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0]];-20037700 -30241100 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision" # NO_SUBFOLDERS "Overwrite duplicates" NO_PYRAMIDS CALCULATE_STATISTICS BUILD_THUMBNAILS # NO_FORCE_SPATIAL_REFERENCE ESTIMATE_STATISTICS # NO_PIXEL_CACHE C:\Users\reijoh\AppData\Local\Temp\ArcGISProTemp16176\karte_geofast_50_neu Rename \\gis-im01\IM01_Daten\McDatasets_IM01.gdb\karte_geofast_50_neu \\gis-im01\IM01_Daten\McDatasets_IM01.gdb\karte_geofast_50 MosaicDataset AddRastersToMosaicDataset \\gis-im01\IM01_Daten\McDatasets_IM01.gdb\karte_geofast_50 "Raster Dataset" \\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_204_Voelkermarkt_2020_202003_adsn900030690.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_207_Arnfels_2021_202110_adsn900030925.tif UPDATE_CELL_SIZES UPDATE_BOUNDARY NO_OVERVIEWS # 0 1500 # # NO_SUBFOLDERS "Overwrite duplicates" NO_PYRAMIDS CALCULATE_STATISTICS BUILD_THUMBNAILS # NO_FORCE_SPATIAL_REFERENCE ESTIMATE_STATISTICS # NO_PIXEL_CACHE C:\Users\reijoh\AppData\Local\Temp\ArcGISProTemp16176\karte_geofast_50 AddRastersToMosaicDataset \\gis-im01\IM01_Daten\McDatasets_IM01.gdb\karte_geofast_50 "Raster Dataset" \\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_204_Voelkermarkt_2020_202003_adsn900030690.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_207_Arnfels_2021_202110_adsn900030925.tif UPDATE_CELL_SIZES UPDATE_BOUNDARY NO_OVERVIEWS # 0 1500 "PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0]];-20037700 -30241100 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision" # NO_SUBFOLDERS "Overwrite duplicates" NO_PYRAMIDS CALCULATE_STATISTICS BUILD_THUMBNAILS # NO_FORCE_SPATIAL_REFERENCE ESTIMATE_STATISTICS # NO_PIXEL_CACHE C:\Users\reijoh\AppData\Local\Temp\ArcGISProTemp16176\karte_geofast_50 AddRastersToMosaicDataset \\gis-im01\IM01_Daten\McDatasets_IM01.gdb\karte_geofast_50 "Raster Dataset" \\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_180_Winklern_2024_202410.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_070_Waidhofen_an_der_Ybbs_2024_202411.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_057_Neulengbach_2024_202410.tif;\\gis-im01\IM01_Daten\GeoRaster\GEOFAST_Kartenfeld_EPSG3857\GEOFAST_BMN_006_Waidhofen_an_der_Thaya_2024_202408.tif UPDATE_CELL_SIZES UPDATE_BOUNDARY NO_OVERVIEWS # 0 1500 # # NO_SUBFOLDERS "Allow duplicates" NO_PYRAMIDS CALCULATE_STATISTICS BUILD_THUMBNAILS # NO_FORCE_SPATIAL_REFERENCE ESTIMATE_STATISTICS # NO_PIXEL_CACHE C:\Users\reijoh\AppData\Local\Temp\ArcGISProTemp16176\karte_geofast_50 5000000 50000 ISO19139 GEOFAST - Zusammenstellung ausgewählter geologischer Archivunterlagen - Imagery Layer GEOFAST - Zusammenstellung ausgewählter geologischer Archivunterlagen der GeoSphere Austria <div>Im Projekt GEOFAST werden auf Basis der jeweils besten verfügbaren geologischen Grundlagen provisorische geologische Karten im Blattschnitt der Österreichischen Karte 1:50.000, auf moderner Topographie digital kompiliert und als Print-on-Demand-Lösung zur Verfügung gestellt. Da keine Geländebegehungen stattfinden, ergeben die einzelnen Karten häufig kein homogenes Bild und zeigen so den regionalen Forschungsbedarf auf.<br /></div><div><br /></div><div><b>Adresses of Services</b></div><div>REST: https://gis.geosphere.at/images/rest/services/geologie/karte_geofast_50/ImageServer</div><div>WMS: https://gis.geosphere.at/images/services/geologie/karte_geofast_50/ImageServer/WMSServer</div><div>WMTS: https://gis.geosphere.at/images/rest/services/geologie/karte_geofast_50/ImageServer/WMTS</div><div><br /></div><div style='font-size:1.414rem;'>Beschreibung</div>Von vielen Gebieten existieren geologische Karten nur in Form schwer zugänglicher Manuskripte in den Archiven. Im Projekt GEOFAST werden auf Basis der jeweils besten verfügbaren geologischen Grundlagen provisorische geologische Karten im Blattschnitt der Österreichischen Karte 1:50.000 auf moderner Topographie digital kompiliert und als Print-on-Demand-Lösung zur Verfügung gestellt. Da keine Geländebegehungen stattfinden, ergeben die einzelnen Karten häufig kein homogenes Bild und zeigen so den regionalen Forschungsbedarf auf. GEOFAST-Karten sind kein Ersatz für publizierte geologische Kartenblätter im Maßstab 1:50.000, die auf modernen Geländeaufnahmen beruhen, sondern stellen eine Übergangslösung dar, die folgende Begründung hat: Da dem Bedarf der Anwender:innen nach modernen geologischen Karten im Maßstab 1:50.000 nicht rasch genug entsprochen werden kann, werden die häufig hochwertigen Archivunterlagen in Form digitaler Kompilationen im Maßstab 1:50.000 zugänglich gemacht. GEOFAST-Karten werden aus publizierten und unpublizierten geologischen Karten auf moderner Topographie – ohne Revision im Gelände – kompiliert. Bei der Übertragung der inhaltlich häufig inkompatiblen Kartenunterlagen (deren Entstehungszeitraum sich oft über viele Jahrzehnte erstreckt) auf einen einheitlichen Maßstab und eine einheitliche Topographie werden die sich dabei ergebenden „Blattrandstörungen“ und inhomogenen Legendeninhalte bewusst beibehalten. Eine Kompilation (= Zusammenführung) im strengen Sinn, wie diese bei Übersichtsmaßstäben durchgeführt wird, wäre im Spezialkartenmaßstab nicht vertretbar und würde die Ausgangsdaten in nicht nachvollziehbarer Weise verfälschen. Geologische Karten sind immer nur Ausdruck der subjektiven Betrachtungsweise ihrer Urheber:innen in stark abstrahierter Form, also Modelle, die auf zahlreichen theoretischen Voraussetzungen beruhen. Diese subjektive Betrachtungsweise wird dabei nicht nur von sich wandelnden Interessen und neuen Untersuchungsmethoden beeinflusst, sondern ist vor allem durch die aktuellen Modellvorstellungen in den Köpfen der jeweiligen Wissenschaftlerinnen und Wissenschaftler geprägt.<div><br /></div><div><div><b>Adressen der Services</b></div><div>REST: https://gis.geosphere.at/images/rest/services/geologie/karte_geofast_50/ImageServer</div><div>WMS: https://gis.geosphere.at/images/services/geologie/karte_geofast_50/ImageServer/WMSServer</div><div>WMTS: https://gis.geosphere.at/images/rest/services/geologie/karte_geofast_50/ImageServer/WMTS</div></div> ©GeoSphere Austria / CC BY 4.0 GEOFAST Geologie geology Österreich Austria Scan Karte map <div>GeoSphere Austria excludes any liability for the correctness, completeness or accuracy of the maps and data and assumes no liability of any kind. Furthermore, liability for consequential damages resulting from the improper and incorrect interpretation of the content is excluded.<br /></div><div><br /></div><div>The maps on which the service is based are scientific data and represent a generalized picture of near-surface geology. No legal claims can be derived from this. For detailed investigations and specific questions, separate data collection tailored to the respective task is required. </div><div><br /></div><div>©GeoSphere Austria / CC BY 4.0</div><div><br /></div><div style='font-size:1.414rem;'>Nutzungsbedingungen</div><div><br /></div><div>Für die inhaltliche Richtigkeit, Vollständigkeit oder für Fehlerfreiheit der Karten und Daten schließt die GeoSphere Austria eine Gewähr aus und übernimmt keine Haftung jeglicher Art. Des Weiteren ist die Haftung für Folgeschäden, die aus der unsachgemäßen und falschen Interpretation der Inhalte resultieren, ausgeschlossen.</div><div><br /></div><div>Die dem Service zugrundeliegenden Karten sind wissenschaftliche Daten und stellen ein generalisiertes Abbild der oberflächennahen Geologie dar. Es können keine rechtlichen Ansprüche daraus abgeleitet werden. Für detaillierte Untersuchungen und spezifische Fragestellungen sind eigene, auf die jeweilige Aufgabe zugeschnittene Datenerfassungen erforderlich. </div><div><br /></div><div>©GeoSphere Austria / CC BY 4.0</div> Austria, Österreich Staatsgebiet der Republik Österreich 20241001 <DIV STYLE="text-align:Left;"><DIV><P><SPAN>GeoSphere Austria excludes any liability for the correctness, completeness or accuracy of the maps and data and assumes no liability of any kind. Furthermore, liability for consequential damages resulting from the improper and incorrect interpretation of the content is excluded.</SPAN></P><P><SPAN>The maps on which the service is based are scientific data and represent a generalized picture of near-surface geology. No legal claims can be derived from this. For detailed investigations and specific questions, separate data collection tailored to the respective task is required.</SPAN></P></DIV></DIV> 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