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Tag Archive 'Multitemporal'

Time series of topographic point clouds offer great possibilities to advance our understanding of dynamic landscapes. To exploit the full information these 4D datasets contain on spatial and temporal properties of natural surface changes, the 3DGeo research group is developing methods for 4D change analysis. These methods are required to answer fundamental questions on the [...]

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With the publication of the final report, the PermaSAR project is concluded. In the blink of an eye regarding timescales of permafrost monitoring, research within the project period covered diverse methods and analyses around the topic of permafrost and related thaw subsidence in Arctic tundra landscapes.
The report (in German) provides all details on the work [...]

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The recent, sharp increase in the availability of data captured by different sensors, combined with their considerable heterogeneity, poses a serious challenge for the effective and efficient processing of remotely sensed data. Such an increase in remote sensing and ancillary data sets, however, opens up the possibility of utilizing multimodal data sets in a joint [...]

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