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Possibilities and prospects on the GIS analysis of landscape history A methodological overview of the currently available tools and some prospects for.

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Presentation on theme: "Possibilities and prospects on the GIS analysis of landscape history A methodological overview of the currently available tools and some prospects for."— Presentation transcript:

1 Possibilities and prospects on the GIS analysis of landscape history A methodological overview of the currently available tools and some prospects for the near future G. Király – É. Konkoly-Gyuró – D. Nagy Univ. of West Hungary, Faculty of Forestry

2 Outline Introduction Harmonisation Analysis methods Vector methods Raster methods Combine methods Test Area ŐRSÉG Results Conclusions

3 Introduction Historical maps are become more valued They connect a lot of different field, such as history, geography, ecology, managements, etc. Their GIS analysis give much more knowledge, than traditional viewing

4 GIS Analysis Possible, when comparable maps are available 1. Geometrically 2. Thematically

5 Geometric harmonisation Control Points Control Lines Control Areas Application of DEMs Point features – mountains Linear features – ridges and valleys Areal features – plateaus, lakes

6 Application of DEM 1st Military and peaks Control Points – Mountain peaks Control Lines - Valleys

7 Application of DEM 2nd Military and peaks Control Points – Mountain peaks Control Lines - Valleys

8 Application of DEM 3rd Military and peaks Control Points – Mountain peaks Control Lines - Valleys

9 Application of DEM SRTM DEM and peaks Control Points – Mountain peaks Control Lines - Valleys

10 Application of DEM SRTM DEM and peaks Control Points – Mountain peaks Control Lines – Valleys valleys from 1st Military

11 Thematic harmonisation Reclassifying tables Universal Unambiguous Hierarchic from ~50 categories…

12 Thematic harmonisation Reclassifying tables Universal Unambiguous Hierarchic … to 9 categories

13 Classic analysis methods Vector analysis Polygon overlay Forward Backward Raster analysis

14 Complex methods Inclusion of DEMs Profile based Area based Inclusion of other data

15 Focus Area ŐRSÉG

16 Results – overlay of vectors

17 Results – raster analysis 3rd 1st

18

19 Conclusions Harmonisation is very crucial DEMs can help in geometric harmonisation Inclusion of DEM can help to interpret the changes

20 Thank You for the attention! Questions?


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