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U N Landforms in Remote-Sensing Data I P O T S D A M U N - PowerPoint PPT Presentation

GeoViz Hamburg 2011 Automated Object-Identification for Isolated Transient U N Landforms in Remote-Sensing Data I P O T S D A M U N I P O T S D A M U N I P O Changes in the size and distribution of thermokarst lakes T


  1. GeoViz Hamburg 2011 Automated Object-Identification for Isolated Transient U N Landforms in Remote-Sensing Data I P O T S D A M U N I P O T S D A M U N I P O Changes in the size and distribution of thermokarst lakes T  workflow of automated object identification S D A  object-catalogue based detection of landforms M  prime indicators of changing climatic conditions Lucia Tyrallová, Stephan van Gasselt and Hartmut Asche - University of Potsdam and Free University of Berlin 1

  2. GeoViz Hamburg 2011 U N Content I P O  Motivation T S D  Goal A M  Workflow, object catalogue U  Conclusion N I P  Outlook O T S D A M U N I P O T S D A M Lucia Tyrallová, Stephan van Gasselt and Hartmut Asche - University of Potsdam and Free University of Berlin 2

  3. GeoViz Hamburg 2011 U N Motivation I P O  automated object identification and statistical characterization T S of morphometric parameters D A  identification of climate processes M U  automated detection of primary climate-related landforms and N I the assessment of their change through time and three decades P O of remote-sensing T S  observations help to quantify and find predictors for the D A consequences of climate change M U N I P O T S D A M Lucia Tyrallová, Stephan van Gasselt and Hartmut Asche - University of Potsdam and Free University of Berlin 3

  4. GeoViz Hamburg 2011 U N Goals I P O  to create approaches and concepts for object-catalogue based T S detection of landforms within a commercial GIS suite for the D A study cases of climate tracer: thermokarst features M U N I  to provide GIS-integrated object-identification tools to support P O experts T S  to allow for combined approaches and improve detection D A qualities M U  to transfer the workflow onto other climate tracers N I  to enable operational use of the workflow above the conceptual P O level T S D A M Lucia Tyrallová, Stephan van Gasselt and Hartmut Asche - University of Potsdam and Free University of Berlin 4

  5. GeoViz Hamburg 2011 U N I P O T S D A M U N I P O T S D A M U N I P O T S D A M Lucia Tyrallová, Stephan van Gasselt and Hartmut Asche - University of Potsdam and Free University of Berlin 5

  6. GeoViz Hamburg 2011 U N I P O T S D A M U N I P O T S D A M U N I P O T S D A M Lucia Tyrallová, Stephan van Gasselt and Hartmut Asche - University of Potsdam and Free University of Berlin 6

  7. GeoViz Hamburg 2011 U N I P O T S D A M U N I P O T S D A M U N path/row 65/12, July 2002, Enhanced Thematic Mapper I (ETM+ , 30 m/px) P O T S D A M Lucia Tyrallová, Stephan van Gasselt and Hartmut Asche - University of Potsdam and Free University of Berlin 7

  8. GeoViz Hamburg 2011 U N Conclusion I P O  will not completely replace manual object identification, T S D  object identification and mapping still has to be carried out by A M an expert interpreter, U  detection tools help to identify landforms on an a-priori level, N I  if GIS-integrated, such tools are available for a wide range of P O researchers and object location takes place within a proper T S geospatial context required for data exchange and ongoing D A studies, M U  less time-consuming and provides means to extract statistical N I parameters over large areas and, if multitemporal, over P O timespans. T S D A M Lucia Tyrallová, Stephan van Gasselt and Hartmut Asche - University of Potsdam and Free University of Berlin 8

  9. GeoViz Hamburg 2011 U N Outlook I P O  compare object properties taken from references and from our T S research D A  3D, 4D object properties M U  Geoviz N I P O T S D A M U N I P O T S D A M Lucia Tyrallová, Stephan van Gasselt and Hartmut Asche - University of Potsdam and Free University of Berlin 9

  10. GeoViz Hamburg 2011 U N Thank you for your attention! I P O T  Lucia Tyrallová S D University of Potsdam A M Geoinformation Research Group U N Department of Geography, Potsdam, Germany I P O E-Mail: lucia.tyrallova@uni-potsdam.de T S D  Stephan van Gasselt A M Free University of Berlin U N Institute of Geological Sciences, Berlin, Germany I P O Hartmut Asche  T S University of Potsdam D A M Department of Geography, Potsdam, Germany Lucia Tyrallová, Stephan van Gasselt and Hartmut Asche - University of Potsdam and Free University of Berlin 10

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