Development of a remote sensing based land barometer for sustainable land use management

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1 Bilateral German-Polish REFINA workshop Research and model projects on suburbanization and land consumption Development of a remote sensing based land barometer for sustainable land use management Thomas Esch (1),2, Doris Klein 1, Ralf Klein 1,Julia Wettemann 1 Klaus Einig, Brigitte Zaspel 3 Barbara Jahnz 4 1 University of Würzburg, Institute of Geography, Department of Remote Sensing, Würzburg 2 German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Environment and Security (US), Oberpfaffenhofen 3 Federal Institute for Research on Building, Urban Affairs and Spatial Development (BBSR), Bonn 4 Planning Association 'Munich outer economical region' (PV), Munich November 6-7, 2009 Gdansk (Poland)

2 Content Background and motivation Land barometer tool - Concept - Output Results - Regional level - Local level Feedback and conclusions Outlook

3 Background and motivation Funding priority II: Analyses, methods and assessment concepts - Indicator-based set of methods for assessing the sustainability of land management - Data pool (national, regional, communal) - Catalog of indicators - Software prototype (generation and visualization of indicators) - Application and evaluation of methods through model regions and stakeholders - Feasibility, continuaty - Informative value - Range of possible applications - Analysis of determinantes - Action plans - Adaptation strategies

4 Land barometer tool Concept: Data pool - Statistics - National: Statistik regional - (Local: Statistik communal) - Geoinformation - National: German Official Topographic Cartographic Information System (ATKIS) - (Local: parcel, building block) - Remote sensing - National: Landsat - (Local: HyMap, HRSC, Ikonos, aerial images)

5 Land barometer tool Concept: Software prototype

6 Land barometer tool Concept: Software prototype Output in form of diagrams or tables

7 Land barometer tool Output - Static and dynamic indicators for quantitative und qualitative characterization of land consumption - Reduction - Conservation and preservation - Structure - Efficiency - 61 indicators with 23 core indicators - Time periods of data - Statistics: 1996, 2000, 2004 (regional); 2000, 2004 (communal) - Geoinformation: Remote sensing: 2000, 2006 (national); , 2006 (communal)

8 Land barometer tool Output List of core indicators

9 Content Background and motivation Land barometer tool - Concept - Output Results - Regional level - Local level Feedback and conclusions Outlook

10 Results Regional level: Statistics R1_2 land consumption (Bavaria) 2004 N6 spatial decentralization (housing)

11 Results Regional level: Geoinformation (ATKIS) Rhine-Neckar region Munich region Saxony S10 fragmentation index 2004

12 Results Regional level: Remote sensing Percent impervious surface

13 Results Regional level: Remote sensing R4 soil sealing (per SaT) Impervious surface per municipal area [%] Impervious surface per person [m2]

14 Results Regional level: Analysis of determinants Combined factor and cluster analysis (path analysis) R1_2 Land consumption 2004 Soil sealing => indicators: R² = 0,89 61 indicators R2_2 Dynamics of land consumption Land use structure can be characterized on the basis of 8 clusters

15 Results Local level: Aerial images (soil sealing) Modeling based on aerial image and comparison to cadastral data Increase of IS Decrease of IS

16 Results Local level: Hyperspectral data (land cover) Roofing tiles Roofing concrete Roofing metal Roofing bitumen / tar Roofing synthetic / glass Vegetated roof Roofing gravel Unknown Concrete Asphalt Tartan/ synthetic turf/polyethylene surfaces Subset of HyMap image (Munich, Germany) Loose chippings Railway tracks Sand/soil Trees Lawn Water Shadow Unclassified Cloud cover, GPS-error

17 Results Local level: Hyperspectral & height data (urban morphology) Building volume [m 3 ] Vegetation density [%] Definition of urban structural types Impervious surface [%]

18 Results Local level: Hyperspectral & height data (urban micro-climate) Height data (buildings, vegetation) LAI, Albedo Material map Model input Data base (soil, plant, roof)

19 Results Local level: Hyperspectral & height data (urban micro-climate) Z (m) Y (m) X (m) :00 y = 250 Air temperature [K] < > Wind speed [m/s] :00 z = 1.5m X (m) Facade temperature [K] Rel. Humidity [%] < > 68.8

20 Content Background and motivation Land barometer tool - Concept - Output Results - Regional level - Local level Feedback and conclusions Outlook

21 Feedback and conclusions Remote sensing-supported information system for assessing the sustainability of urban development - Focus on core indicators - Set of methods and prototype software for processing and analysis of specific statistical data, geoinformation and remote sensing imagery (regional, communal, local) Assessment by model regions and stakeholders - Broad range of applications with focus on planning, consulting and monitoring - Quantitative interpretation of indicators facilitates assessment of sustainability in land consumption - Effect of qualitative factors not yet well-known - Synoptic interpretation of indicators required - Expertise inevitable for interpretation - System is most applicable at regional and national scale - Frequent up-dating possible (statistics, ATKIS, satellite data) - Remote sensing techniques show high potential for spatially detailed analyses (building block, parcel) and derivation of enhanced indicators (urban micro-climate)

22 Content Background and motivation Land barometer tool - Concept - Output Results - Regional level - Local level Feedback and conclusions Outlook

23 Outlook Refina funding priority - Land barometer - Further evaluation by model regions and project partners - Consolidation of software prototype and compilation of user guide - Provision of indicators via Web-interface (BBSR) - Integration of qualitative factors and analysis of determinants Future plans - Transfer of land barometer to North America (Canada) - Enhancement and adaptation to energy- and climate-related issues

24 Thank you for your attention! Contact:

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