Data products for visualizing of past, current, and alternate scenarios for an ecologically sensitive coastal spit at a local scale

Sanjeev K Srivastava; Gary Scott; Jo Rosier

doi:10.4227/39/5aaaf4d4798de

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Data products for visualizing of past, current, and alternate scenarios for an ecologically sensitive coastal spit at a local scale

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Data products for visualizing of past, current, and alternate scenarios for an ecologically sensitive coastal spit at a local scale

Sanjeev K Srivastava, Gary Scott and Jo Rosier

University of the Sunshine Coast

2018

DOI:

https://doi.org/10.4227/39/5aaaf4d4798de

Appears in UniSC Research Data Collection

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Zip Compressed File - Data files 3D Models 3WS87.87 MBDownload View

DataCC BY V4.0, Open Access

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Videos_Alternate_Scenarios1.10 GBDownload View

DataCC BY V4.0, Open Access

Abstract

Physical Geography and Environmental Geoscience

Geomatic Engineering

Urban Planning

geoscience

map projections

3D models

animations

This study presents data products to visualize past, current and alternate scenarios for an ecologically sensitive and development prone area in a sub-tropical coastal spit. Data products are created using a diverse range of geodesign tools that include existing and archived high resolution active and passive remote sensing datasets, existing, derived, and digitized spatial layers together with procedural modelling. The final products include 3d and interactive Cityengine Webscene files and fly-throughs in a generic movie format. While the fly-through movies can be played on standard digital devices, the Cityengine Webscenes once uploaded on ArcGIS website requires an Internet ready device for visualization and interaction.

Details

Title: Data products for visualizing of past, current, and alternate scenarios for an ecologically sensitive coastal spit at a local scale
Authors: Sanjeev K Srivastava (Data Collector) - University of the Sunshine Coast - Faculty of Science, Health, Education and Engineering
Gary Scott (Data Collector) - University of the Sunshine Coast
Jo Rosier (Data Collector) - University of the Sunshine Coast - Faculty of Arts, Business and Law
Format: 3D Cityengine Webscenes (.3ws) - 23 files (88.1MB); AVI movie files (.avi) - 12 files (9.8GB)
Publisher: University of the Sunshine Coast
Date published: 2018
DOI: 10.4227/39/5aaaf4d4798de
Organisation Unit: School of Science and Engineering - Legacy; School of Social Sciences - Legacy; School of Science, Technology and Engineering; School of Law and Society; Sustainability Research Cluster
Language: English
Record Identifier: 99450756102621
Output Type: Dataset

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