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  • 1
    Call number: 7/M 07.0077
    In: Remote sensing and digital image processing
    Description / Table of Contents: Contents: Basics of Remote Sensing.- Spatial Variability, Mapping Methods, Image Analysis and Pixels.- Sub-Pixel Methods in Remote Sensing.- Resolution Manipulation and Sub-Pixel Mapping.- Multiscale Object-Specific Analysis (MOSA): An Integrative Approach for Multiscale Landscape Analysis.- Variogram Derived Image Texture for Classifying Remotely Sensed Images.- Merging Spectral and Textural Information for Classifying Remotely Sensed Images.- Contextual Image Analysis Methods for Urban Applications.- Pixel-Based, Stratified and Contextual Analysis of Hyperspectral Imagery.- Variable Multiple Endmember Spectral Mixture Analysis for Geology Applications.- A Contextual Algorithm for Detection of Mineral Alteration Halos with Hyperspectral Remote Sensing.- Image Segmentation Methods for Object-Based Analysis and Classification.- Multiscale Feature Extraction from Images Using Wavelets.- Contextual Analysis of Remotely Sensed Images for the Operational Classification of Land Cover in the United Kingdom.- A Contextual Approach to Classify Mediterranean Heterogeneous Vegetation Using the Spatial Reclassification Kernel (SPARK) and DAIS7915 Imagery.
    Type of Medium: Monograph available for loan
    Pages: XV, 359 S. + 1 CD-ROM , Ill., graph. Darst., Kt. , 1 CD-ROM
    ISBN: 1402025599
    Series Statement: Remote sensing and digital image processing 5
    Classification:
    Photogrammetry, Remote Sensing
    Location: Reading room
    Branch Library: GFZ Library
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  • 2
    Call number: 7/M 07.0076
    In: Remote sensing and digital image processing
    Type of Medium: Monograph available for loan
    Pages: XXIII, 403 S. + 1 CD-ROM , 1 CD-ROM
    ISBN: 1402001940
    Series Statement: Remote sensing and digital image processing 4
    Classification:
    Photogrammetry, Remote Sensing
    Location: Reading room
    Branch Library: GFZ Library
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  • 3
    Publication Date: 2013-12-24
    Description: In this study, we present a flexible, cost-effective, and accurate method to monitor landslides using a small unmanned aerial vehicle (UAV) to collect aerial photography. In the first part, we apply a Structure from Motion (SfM) workflow to derive a 3D model of a landslide in southeast Tasmania from multi-view UAV photography. The geometric accuracy of the 3D model and resulting DEMs and orthophoto mosaics was tested with ground control points coordinated with geodetic GPS receivers. A horizontal accuracy of 7 cm and vertical accuracy of 6 cm was achieved. In the second part, two DEMs and orthophoto mosaics acquired on 16 July 2011 and 10 November 2011 were compared to study landslide dynamics. The COSI-Corr image correlation technique was evaluated to quantify and map terrain displacements. The magnitude and direction of the displacement vectors derived from correlating two hillshaded DEM layers corresponded to a visual interpretation of landslide change. Results show that the algorithm can accurately map displacements of the toes, chunks of soil, and vegetation patches on top of the landslide, but is not capable of mapping the retreat of the main scarp. The conclusion is that UAV-based imagery in combination with 3D scene reconstruction and image correlation algorithms provide flexible and effective tools to map and monitor landslide dynamics.
    Print ISSN: 0309-1333
    Electronic ISSN: 1477-0296
    Topics: Geography
    Published by Sage Publications
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