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Höhendarstellung in OL-Karten mithilfe von Airborne Laser-Scanning

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Presentation on theme: "Höhendarstellung in OL-Karten mithilfe von Airborne Laser-Scanning"— Presentation transcript:

1 Höhendarstellung in OL-Karten mithilfe von Airborne Laser-Scanning
Representing the relief of Orienteering maps with the aid of airborne laser scanning Höhendarstellung in OL-Karten mithilfe von Airborne Laser-Scanning Thomas Hohl Gymnasium Kirschgarten Basel

2 Airborne Laser-Scanning
Basic principle Accuracy in height ± 15cm Frequency of bullets/impulse 1 b./imp./2m2

3 Airborne Laser-Scanning
Laser impulse in forested areas first received impulse last received impulse

4 Airborne Laser-Scanning
Method of analyzing GRID TIN Laser raw data Contour lines

5 Comparison of contour reliefs
Criteria for the test area existence of an orienteering map existence of a photogrammetric base map an area with detailed terrain (depressions, knolls, rocky features) O-maps 'Leutschenberg-Schafmatt' Area 2km x 2km =4km2 Coordinate 636/ /249 Geoinformationsystem (GIS) Idrisi 2.2 and ArcGIS 8.3

6 Comparison of contours reliefs

7 Comparison of contours reliefs

8 Comparison of contours reliefs
Photogrammetric map is not in digital form available  only spot samples

9 Comparison of contours reliefs
Legend open terrain forest dense vegetation north sides of slopes Map with samples

10 Comparison of contour relief
Size of 1 spot sample 150m x 150m Distribution of spot samples

11 Comparison of contours reliefs
example: spot sample 3b

12 Comparison of contour relief
example: spot sample 3b

13 Comparison of contour relief
example: spot sample 3b

14 Comparison of contour relief
example: spot sample 3b

15 Comparison of contour relief
example: spot sample 3b

16 Comparison of contour relief
example: spot sample 3b

17 Comparison of contour relief
example: spot sample 3b DTM (2,5m) Phtogr. (5m) O-map (5m) DTM (1m)

18 Comparison of contour relief
example: spot sample 3b

19 Comparison of contour relief
example: spot sample 3b

20 Comparison of contour relief
example: spot sample 3b

21 Comparison of contour relief
example: spot sample 3b

22 Comparison of contour relief
example: spot sample 3d DTM (2,5m) Photogr. (5m) map (5m) DTM (1m)

23 Comparison of contour relief
Conclusion 2,5m-DTM - In detailed terrain not sufficient → 1m-DTM - precise contour lines in dense vegetation Photogrammetric base map - not suitable in dense vegetation and north sides of hills very good representation of the terrain in open terrain O-map - often features are represented with objects instead of contour lines  bad legibility

24 Comparison of contour reliefs
Conclusion positive negative DTM very precise position accuracy - pseudo features - dithering contour lines - completeness - representation without O-symbols - good for relief representation only eliminate features, no new measuring Photogrammetric base map - representation with O-symbol - inprecise - uncompleted - new measurements necessary

25 Comparison of price Calculation for an area of 8km2 DTM DTM-AV:
Basic charge Fr Fee per km2 8 x Fr = Fr Cut out, due of less than a 18 km2 tile Fr Subtotal cost of data DTM-AV Fr Analysis DTM-AV wiht GIS-Tool 5h work 5 x Fr. 160.– = Fr Total Fr

26 Comparison of price Calculation for an area of 8km2
Photogrammetric base map Models 5 x Fr = Fr Subtotal cost of data Fr Analysis 8km2 Analysis 8 x Fr = Fr Total Fr

27 Preisvergleich DTM Photogrammetric base map Kostentotal Fr. 1940.--

28 Conclusion Advantages of laser air borne scanning 1.
Saving of time in the terrain because of its availability without interruption and precisness (elimination instead of measuring). 2. Raw-data all over Switzerland available. Time consuming work to find photogrammetric pictures are not any more necessary 3. Significant reduced costs compared to photogrammetric base maps. 4. Data are available rapidly. 5. Combination with orthophotos possible (georeferenced) Disadvantages of laser air borne scanning 1. Base map without O-set of symbol 2. A detailed contour relief could easily lead to an over crowded and badly generalized map image.

29 Outlook Automatic generalization
Hill shading perfect to represent the trail and track network

30 Outlook Hill shading

31 Outlook Automatic generalization
Hill shading perfect to represent the trail and track network O-Map with hill shading

32 Outlook O-map with hill shading

33 Outlook Automatic generalization
Hill shading perfect to represent the tail and treck network O-Map with hillshading Extraction of cliffs out of the slope map

34 Outlook Map hill slope

35 Questions ?

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