Proceedings Computer Graphics International CGI-99 1999
DOI: 10.1109/cgi.1999.777922
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Interactive 3D landscape visualization: improved realism through use of remote sensing data and geoinformation

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Cited by 8 publications
(6 citation statements)
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“…In this field, two-dimensional representations have been completely superseded since three-dimensional (3D) visualization is closer to reality as well as easier to interpret. Furthermore, it allows the user to interact realistically with the environment [20,27].…”
Section: Introductionmentioning
confidence: 99%
“…In this field, two-dimensional representations have been completely superseded since three-dimensional (3D) visualization is closer to reality as well as easier to interpret. Furthermore, it allows the user to interact realistically with the environment [20,27].…”
Section: Introductionmentioning
confidence: 99%
“…However, overall time-series effects (i.e., extended drought, infestation history) and relative spatial effects (i.e., arrangement of landscape patches, landforms, slopes, and soil characteristics) are seldom considered in beetle-infected forests [2,10,23]. 3-D landscape visualization allows the overlaying and integration of the combined effects of diverse interactive geo-information into simplified and integrated 3-D media [24] (Figure 4). …”
Section: Multi-expressionmentioning
confidence: 99%
“…In addition, vegetation visualization is the critical technique to determine if the 3-D landscape visualization is convincing or not [24]. To realistically visualize the vegetation, various forest -ecosystems‖ were created using the ecosystem function in VNS.…”
Section: -D Landscape Visualizationmentioning
confidence: 99%
“…This in-turn requires the use of multiple elevation surfaces which has already been discounted in the "overhang" paragraph above. (Baer & Campbell, 2003;Hirtz, Hoffmann, & Nüesch, 1999;Wasilewski, Faust, Grimes, & Ribarsky, 2002) Our intent is not to replicate geospecific object placement within a particular locale using hard-to-find high resolution data (e.g. LIDAR elevation data and sub-meter imagery), but to use readily available medium-resolution elevation and imagery data that can be used to create large-scale geotypical terrains.…”
Section: E Scopementioning
confidence: 99%