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Home โ€บ DSM1

๐Ÿ™๏ธ Surface models (DSM) worldwide

Unified surface model on a 1-metre grid: per tile the laser-based DSM, where unavailable the iDSM averaged to 1 m โ€” as Cloud-Optimized GeoTIFF in EPSG:25832, loadable tile by tile or as a merged extract. Currently in Germany 338,942 tiles, 394,965 kmยฒ (1070.25 GB).

Tiles of 1 kmยฒ each; small areas can be merged into a single file on demand.

๐Ÿ‡ช๐Ÿ‡บ Europe

Outside Germany we deliver nothing ourselves but link the open tiles directly at the source โ€” the map shows the link list as soon as the rectangle lies over the country. Each country has its own page with source and licence; all countries at a glance under Europe.

CountryContentFilesFlown
๐Ÿ‡ฆ๐Ÿ‡น AustriaBEV ALS DSM 1 m, Cloud Optimized GeoTIFF per 50ร—50 km tile (about 2 GB) in EPSG:3035; finer per map sheet from the federal states, all from laser scanning in MGI: Carinthia 0.5 m (2022โ€“24) or 1 m (2006โ€“15) as COG, Styria 0.5 m (2022โ€“25) or 1 m as ZIP block (2008โ€“14), Tyrol 0.5 m (2017โ€“23, DTM and DSM in one ZIP per sheet), Salzburg 0.5โ€“1 m (2006โ€“24), Vorarlberg 0.5 m (2023), Upper Austria 0.5 m as a ZIP per municipality, Vienna 0.5 m (laser scan 2007). Vienna's heights refer to Wiener Null: add 156.68 m for height above sea level.20,8102005โ€“2025
7 states
StatesFilesFlown
Carinthia4,6702006โ€“2024
Salzburg1,3732005โ€“2024
Styria2,3972009โ€“2025
Tyrol11,2762017โ€“2023
Upper Austria4382015โ€“2025
Vienna982007
Vorarlberg5032023
๐Ÿ‡ง๐Ÿ‡ช BelgiumLaser-scan DSM โ€” Brussels 2021, 0.5 m, GeoTIFF in a ZIP per 1 km tile; Flanders DHMV II (2013โ€“15), 1 m per kmยฒ, generated on request by the map service (WCS) as an uncompressed GeoTIFF (rename the file โ€œwcsโ€ to .tif); both EPSG:31370; Wallonia 2021โ€“22, 0.5 m, only as a ZIP per province (17โ€“67 GB) in EPSG:3812.14,6062013โ€“2022
3 regions
RegionsFilesFlown
Brussels2162021
Flanders14,3852013โ€“2015
Wallonia52021โ€“2022
๐Ÿ‡จ๐Ÿ‡พ CyprusDLS DSM 0.5 m (2019, partly 2014), Float32 GeoTIFF per 2.5 km tile in EPSG:4258.1,0692014โ€“2019
๐Ÿ‡จ๐Ÿ‡ฟ CzechiaฤŒรšZK DMP 1G, surface points from the 2009โ€“13 laser scan as LAZ in a ZIP, 2 km tiles in EPSG:3045. The current image-based surface model is listed under iDSM.20,3082009โ€“2013
๐Ÿ‡ช๐Ÿ‡ช EstoniaLand and Spatial Development Board lidar DSM and nDSM, 1 m, GeoTIFF per 1ร—1 km sheet in EPSG:3301.45,4172020โ€“2024
๐Ÿ‡ซ๐Ÿ‡ท FranceIGN LiDAR HD, 0.5 m, GeoTIFF in EPSG:2154.522,0222021โ€“2026
๐Ÿ‡ฉ๐Ÿ‡ช GermanySurface model of the states, prepared by us uniformly as 1 m COG (EPSG:25832)338,9422010โ€“2026
16 states
StatesFilesFlown
Baden-Wรผrttemberg (laser DSM)37,6642016โ€“2022
Bavaria (laser DSM)73,5522023โ€“2026
Berlin (laser DSM)1,305โ€“
Brandenburg (iDSM)32,6482013โ€“2026
Bremen (laser DSM)7062015โ€“2017
Hamburg (iDSM)1,1412022
Hesse (laser DSM)23,5752024โ€“2026
Lower Saxony (laser DSM)50,7262010โ€“2025
Mecklenburg-Western Pomerania (laser DSM)7,364โ€“
North Rhine-Westphalia (laser DSM)36,6442020โ€“2025
Rhineland-Palatinate (laser DSM)21,9652022โ€“2025
Saarland (laser DSM)2,7762025
Saxony (laser DSM)5,834โ€“
Saxony-Anhalt (laser DSM)6,902โ€“
Schleswig-Holstein (iDSM)17,9232023โ€“2024
Thuringia (laser DSM)18,2172014โ€“2025
๐Ÿ‡ฎ๐Ÿ‡ช IrelandGSI LiDAR packages 2006โ€“2021, patchy, ZIP with DTM and usually DSM, 0.25โ€“2 m, EPSG:2157.4,8322006โ€“2020
๐Ÿ‡ฎ๐Ÿ‡น ItalyTuscany lidar DSM 1โ€“2 m in EPSG:3003; Aosta Valley 0.5โ€“2 m; Sardinia coast 2008, 1 m; South Tyrol 0.5 m as WCS subset per 1 km tile in EPSG:25832.22,2162004โ€“2017
4 regions
RegionsFilesFlown
Aosta Valley1,1242006โ€“2008
Sardinia2,9632008
South Tyrol7,895โ€“
Tuscany10,2342004โ€“2017
๐Ÿ‡ฑ๐Ÿ‡บ Luxembourg2024 laser scan, 0.5 m, one nationwide Cloud Optimized GeoTIFF (43 GB) in EPSG:2169 โ€” subsets can be read with GDAL /vsicurl.12024
๐Ÿ‡ณ๐Ÿ‡ฑ NetherlandsAHN, latest survey per tile, 0.5 m, GeoTIFF in EPSG:28992.38,1712019โ€“2026
๐Ÿ‡ณ๐Ÿ‡ด NorwayKartverket DSM1, 1 m, GeoTIFF per 15ร—15 km tile (about 1 GB) in EPSG:25833.2,0332010โ€“2025
๐Ÿ‡ต๐Ÿ‡ฑ PolandGUGiK NMPT (DSM) 1 m (cities 0.5 m) from airborne laser scanning, ASCII grid per 1:5,000 map sheet in EPSG:2180.70,7672010โ€“2026
๐Ÿ‡ธ๐Ÿ‡ฎ SloveniaCLSS laser scan 2023โ€“25, 0.5 m grid as LAZ per 1 km tile, EPSG:3794.21,4302023โ€“2025
๐Ÿ‡ช๐Ÿ‡ธ SpainNavarre DSM 50 cm (2024 LiDAR) in EPSG:25830; Valencia 1 m per MTN50 sheet; Catalonia 1 m as one region-wide GeoTIFF in EPSG:25831.4912015โ€“2024
3 regions
RegionsFilesFlown
Catalonia12021
Navarre4012024
Valencian Community892015โ€“2017
๐Ÿ‡จ๐Ÿ‡ญ SwitzerlandSwisstopo swissSURFACE3D, 0.5 m, GeoTIFF in EPSG:2056.43,6922012โ€“2026
๐Ÿ‡ฌ๐Ÿ‡ง United KingdomLaser-scan DSM in EPSG:27700 โ€” England (EA NLP first-return DSM, 1 m, ZIP per 5 km tile), Scotland and Wales as GeoTIFF per grid square.38,1862012โ€“2026

๐ŸŒŽ North America

Outside Germany we deliver nothing ourselves but link the open tiles directly at the source โ€” the map shows the link list as soon as the rectangle lies over the country. Each country has its own page with source and licence; all countries at a glance under North America.

CountryContentFilesFlown
๐Ÿ‡จ๐Ÿ‡ฆ CanadaLaser-scan DSM โ€” NRCan HRDEM 1 m per 10ร—10 km tile in NAD83(CSRS)/UTM, British Columbia (LidarBC) 1 m per 1:2,500 sheet, Ontario as ZIP packages with 1 km tiles.126,4342006โ€“2026
13 provinces and territories
Provinces and territoriesFilesFlown
Alberta2,8962008โ€“2025
British Columbia96,7442013โ€“2026
Manitoba1,8432006โ€“2025
New Brunswick1,1472009โ€“2025
Newfoundland and Labrador4912016โ€“2024
Northwest Territories3402019โ€“2022
Nova Scotia7842013โ€“2025
Nunavut722019โ€“2025
Ontario8,8632008โ€“2025
Prince Edward Island1042008โ€“2020
Quebec9,5632007โ€“2025
Saskatchewan3,3302008โ€“2025
Yukon2522019โ€“2025
๐Ÿ‡ฒ๐Ÿ‡ฝ MexicoINEGI surface model 5 m from lidar (2010โ€“2022, edition year only), ASCII XYZ in ZIP per 1:10,000 map sheet.9,1692010โ€“2025
23 states
StatesFilesFlown
Aguascalientes882011โ€“2012
Baja California4022011โ€“2012
Campeche4432011โ€“2012
Chiapas2762011
Coahuila5912011โ€“2012
Colima1532011โ€“2012
Guanajuato4482011โ€“2012
Guerrero462011
Jalisco2272011โ€“2012
Mexico City242011
Michoacรกn2042011โ€“2012
Nuevo Leรณn1,6792011โ€“2012
Oaxaca3612011โ€“2012
Puebla42011
Quintana Roo1842011โ€“2025
San Luis Potosรญ1682011โ€“2012
Sonora3902011โ€“2012
State of Mexico852010โ€“2011
Tabasco6532011
Tamaulipas1,4052011โ€“2012
Veracruz1,1902011โ€“2012
Yucatรกn162011
Zacatecas1322011
๐Ÿ‡บ๐Ÿ‡ธ USALidar DSM โ€” Indiana 5 ft (2011โ€“2020, cloud-optimized GeoTIFF in State Plane Indiana), Utah 0.5โ€“1 m (2006โ€“2025, GeoTIFF in ZIP in UTM) and Alaska (ZIP per DGGS project).187,4402005โ€“2025
8 states
StatesFilesFlown
Alaska912005โ€“2025
Arizona1832016โ€“2022
Colorado2182015โ€“2020
Idaho4292014โ€“2020
Indiana42,7062011โ€“2020
Nevada3712020
Utah143,3352013โ€“2025
Wyoming1072018

What is included?

Difference from the DTM1: the DTM shows the bare terrain surface, the DSM additionally buildings, trees and other structures.

Where does the data come from, how is it processed?

Each state supplies its surface model differently: most deliver a true laser-based DSM already on a 1-metre grid โ€” that is copied unchanged on the server. A few states have no laser DSM (yet) or only a finer iDSM; such tiles are averaged to 1 m during merging with gdalwarp -r average (see dgm.tiles.meta.quelle_produkt and quelle_gsd per tile).

StateNative resolutionProcessing SourceLicence
Baden-Wรผrttemberglaser DSM, native 1 mcopied unchangedLGL Baden-Wรผrttemberg (opengeodata.lgl-bw.de)dl-de/by-2-0
Bavariaimage-based DSM โ€œDOM20โ€, native 0.2 maveraged to 1 mBayerische Vermessungsverwaltung (geodaten.bayern.de) โ€” no laser DSM publishedCC BY 4.0
Berlinlaser DSM, native 1 mcopied unchangedGeoportal Berlin (gdi.berlin.de)dl-de/zero-2-0
BrandenburgiDSM, native 0.2 maveraged to 1 mGeobasis Brandenburg (data.geobasis-bb.de) โ€” no laser DSM publisheddl-de/by-2-0
Bremenlaser DSM, native 1 mcopied unchangedGeoinformation Bremen (gdi2.geo.bremen.de)CC BY 4.0
HamburgiDSM, native 1 mcopied unchangedTransparenzportal Hamburg (CKAN) โ€” no laser DSM publisheddl-de/by-2-0
Hesselaser DSM, native 1 mcopied unchangedHessische Verwaltung fรผr Bodenmanagement und Geoinformation (gds.hessen.de)dl-de/by-2-0
Lower Saxonylaser DSM, native 1 mcopied unchangedLandesamt fรผr Geoinformation und Landesvermessung Niedersachsen (LGLN, STAC-Katalog)CC BY 4.0
Mecklenburg-Western Pomeranialaser DSM, native 1 mcopied unchangedLandesamt fรผr innere Verwaltung MV (geodaten-mv.de)dl-de/by-2-0
North Rhine-Westphalialaser DSM, native 1 mcopied unchangedGeobasis NRW (opengeodata.nrw.de)dl-de/zero-2-0
Rhineland-Palatinatelaser DSM, native 1 mcopied unchangedLandesamt fรผr Vermessung und Geobasisinformation Rheinland-Pfalz (geobasis-rlp.de)dl-de/by-2-0
Saarlandlaser DSM, native 1 mcopied unchangedLandesamt fรผr Vermessung, Geoinformation und Landentwicklung Saarland (LVGL)dl-de/by-2-0
Saxonylaser DSM, native 1 mcopied unchangedGeoSN โ€” Staatsbetrieb Geobasisinformation und Vermessung Sachsendl-de/by-2-0
Saxony-Anhaltlaser DSM, native 1 mcopied unchangedLandesamt fรผr Vermessung und Geoinformation Sachsen-Anhaltdl-de/by-2-0
Schleswig-HolsteiniDSM, native 0.2 maveraged to 1 mLandesamt fรผr Vermessung und Geoinformation Schleswig-Holstein โ€” no laser DSM publishedCC BY 4.0
Thuringialaser DSM, native 1 mcopied unchangedThรผringer Landesamt fรผr Bodenmanagement und Geoinformation (INSPIRE-Atom)dl-de/by-2-0

Data status per state: see the data status overview (German).