The improvement of production of the GDR50LT in Lithuania

Transcription

1 The improvement of production of the in Lithuania Kęstutis PAPŠYS, Lina PAPŠIENĖ, Julius D. BUDREVIČIUS, Marius MARMA, Evaldas ROŽANSKAS, Mindaugas PAŽEMYS / GIS-Centras Jurgita ŠPŪRAITĖ / National Land Service

2 The company - The National Center of Remote Sensing and Geoinformatics GIS- Centras (SE GIS-Centras ) Since 1992 Supervised by the National Land Service Headquarters in Vilnius, branch in Kaunas Leader in distribution of geographic data and maps Official manager of State Information Systems: o o o o Portal of the National Spatial Data Infrastructure ( (Geo)reference data cadaster (GRPK) (Geo)reference spatial data set at the scale 1: () National GNSS permanent network (LitPOS)

3 Reference data (Geo)reference spatial data represent: natural (the land cover, water bodies, etc.) and anthropogenic (buildings, roads, etc.) objects of the landscape. Scales: 1:10 000, 1:50 000, 1: from GRPK GDR250LT

4 G R P K Reference data road and street centerlines railroads centerlines river and stream centerlines canal and ditch centerlines rivers, pounds, lakes, see shorelines buildings geodetic points elevation points boundaries of land coverage built-up territories swamps power lines gas pipelines oil pipelines air navigation obstacles geographic names etc. G D R 1 0 L T

5 D at a p r o v i d e r s, r e g i s t r e s, e t c. Sources for updating Other official data providers Geodetic Points IS National Roads IS Cadaster of rivers, lakes and pounds Register of Address Land IS Surveyors Municipalities GRPK Manager: GIS-Centras The maps of reference objects Owner: National Land Service GDR250LT

6 Traditional updates of and Other official data providers Geodetic Points IS National Roads IS Cadaster of rivers, lakes and pounds Register of Address Land IS Surveyors Municipalities continuously GRPK 1-2 years years +2 years = 4-5 years!

7 The beginning (2013) Project: Contractor: Implementer: Duration: Main task: The research of the possibilities for automated or semi automated update of National Land Service GIS-Centras 5 moths to analyse the possibilities of the automated or semi automated update of by using the spatial data of in territory of Lithuania PRECONDITIONS Have to be use: Current specifications of and Current spatial data of ArcGIS software

8 Tasks of the Project 1. Analyse of current spatial data sets Prepare the prototype model of automated process 2. Prepare updates of specifications of and 3. Analyse of algorithms 4. Design of conception model 6. Prepare recommendations for the process 5. Design, develop and test of update processes

9 The results Possibilities of automatic updates in territory of Lithuania Possibility of automatic update without any improvements in source or target data (e.g. roads) 50% Possibility of automatic update with some improvements in source or target data (e.g. land cover) 3% 8% 8% 12% 19% Possibility of partly automatic update (e.g. contour lines, place-names) Possibility of full automatic update using other data sources (e.g. territories of protected sites) No update needed (map sheets) Too complicated in current situation (e.g. elevation points) 0% 10% 20% 30% 40% 50% 60%

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11 Follow up (2014) Project: Contractor: Implementer: Duration: Main task: The automatisation of updating National Land Service GIS-Centras 5 moths To develop models for automatic updating Verifications of source data INACCURACI ES RESTRUCTURING 2013 The cadaster of protected sites UPDATING TEMPORARY DATA

12 Generalization in the Project Object interpretation cadaster of protected sites Reduce the complexity of features Model generalization Reduce the count of features Cartographic generalization

13 Conception of models (implementation) Geodetic points IS The cadaster of protected sites 2013 MODEL FOR RESTRUCTURING DB MODEL FOR DATA TRANSFERRING INACCURACIES DB (1) TEMPORARY DB VERIFICATION MODEL (2) OPERATIVE DB VERIFICATION MODEL (1) UPDATING MODEL INACCURACIES DB (2)

14 Designing > Development > Testing Designing Development OK? FINISH Testing

15 The results GEODEZ HIDRO_L KELIAI ELEKTRA_L GELEZINK PLOTAI

16 Links between data layers (conception of update).vietov_t.vietov_p.pastat.geodez.plotai VIETOV_T PASTAT GEODEZ PAKILIMOTAKAI KELIAI.KELIAI.PLOTAI_L KRANTAI_L PLOTAI GELEZINK.GELEZINK.MISKAI_L MISKAI_L HIDRO_L.HIDRO_L STK.DRAUSTINIAI, PARKAI, REZERVATAI PLOTAI_SAUG UZTVANK_T.UZTVANK_T.PAVELDAS_P PAVELDAS_P PAVELDAS_T.PAVELDAS_T.RIBOS RIBOS_L PLOTAI_ADM.NAFTA_L NAFTA_L ELEKTR_L.ELEKTR_L.KLIUTYS KLIUTYS DUJOS_L.DUJOS_L RELJEF_HOR.SRM RELJEF_GRID RELJEF_TIN

17 Advantages of ArcGIS Model Builder Easy to use No needs special knowledge in programming Possibilities to prepare user interface, help And much more...

18 Advantages of ArcGIS Model Builder Generalisation tools: Aggregate points Aggregate Polygons Collapse Dual Lines Collapse Road Detail Merge Divided Roads Thin Road Network Delineate Built-up Areas Simplify Buildings Simplify Lines Simplify Polygons Smooth Lines Eliminate Polygon part Eliminate... Other tools: Select Buffer Clip Erase Spatial Join Feature to... Extend Topology Generate Near Table Spatial Joint Select by Location Calculate Field Append...

19 Surprises of ArcGIS Model Builder Standard generalisation tools do not fulfil our expectation (sometimes): Aggregate sometimes don t get good results Thin hydro features source data: perfect network; required Production Mapping Thin road network sometimes don t remove dangles GIS-Centras prepared several his own algorithm using other ArcGIS geoprocessing tools. unrepeatable problems* problems depending from the week day or updates * I could not repeat you problem

20 Some statistics Five main models Each of them have to include models for each Feature Class of Each of them might include n submodels And we use A LOT OF tools.

21 We would like... To work less More flexible Geoprocessing tools More friendly ModelBuilder user-interface Better compatibility with hardware and software Understanding difference between point and comma

22 Benefits ORT5LT ORT5LT 1 year 2 year 3 year 4 year Time reduction Costs reduction Less recourses Data integrity ORT5LT ORT5LT 1 year 2 year 3 year -

23 Future Topographic maps GDR250LT Maps

24 Thanks!