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CU-Boulder GEOG 5093 - Remote Sensing and GIS

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GEOG/GEOL 4093 Remote Sensing of the Environment Lecture 18 Remote Sensing and GIS Outline • Geoinformatics • GIS contribute to Remote Sensing • Remote Sensing contribute to GIS • Integration of Satellite Image and GISGeo-Informatics GIS GPS RSGIS contributions to Remote Sensing • Geometric and radiometric corrections: – Shade correction. – Geometric coorection. • Display: – Include vector data into raster results. – Terrain Model, flight simulations. • Clasification: – Location of training areas. – Provide ancillary data. – Post-classification refinement. – Accuracy assessment. Adaped from: Chuvieco and Huete 2010Shade correction Original Meyer,1993 After Riaño et al., 2002 Source:Chuvieco and Huete 2010 DEM3 Dimension Views3D SimulationRemote Sensing contribute to GIS • Provide information that is difficult to measure on the field: – Atmospheric conditions. – Chlorophyll content, salinity, turbidity, water temperature. – Vegetation density, Vegetation index. – Snow cover. • Global studies excellent spatial and temporal coverage • Inaccessible areas • Useful for extreme conditions Adaped from: Chuvieco and Huete 2010• Dynamic phenomena: – Wetlands trends, – Urban transformations. – Deforestation, desertification. • Sporadic phenomena: – Floods - Droughts. – Forest fires. – Volcanic eruptions. • Update geographic information Remote Sensing contribute to GIS Adaped from: Chuvieco and Huete 2010Chlorophyll content in the Mediterranean Seawifs data Source: Chuvieco and Huete 2010Flood simulationsFloods in Thailand 2011Connection of Satellite Image and GIS • Visual integration: On-Screen digitizing. – Requires geometric correction. • Digital integration: – Geometric correction. – Classification / continuous variable. – Vectorization (if necessary). Adaped from: Chuvieco and Huete 2010Remote sensing data can be used as a graphic support to update geographic information Adaped from: Chuvieco and Huete 2010Integration of Satellite Image and GIS Adaped from: Chuvieco and Huete 2010Satellite Image Single or Multi spectral bands Classification Supervised, or Unsupervised Vectorization Vector GIS Raster GIS Integration of digital satellite images in GIS Source : Chuvieco and Huete


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