Title: | Single image summary of time-varying Earth-features |
Authors: | Tripathi, Gaurav Katayoon, Etemad Samavati, Faramarz |
Citation: | WSCG 2018: full papers proceedings: 26th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS Association, p. 68-77. |
Issue Date: | 2018 |
Publisher: | Václav Skala - UNION Agency |
Document type: | konferenční příspěvek conferenceObject |
URI: | wscg.zcu.cz/WSCG2018/!!_CSRN-2801.pdf http://hdl.handle.net/11025/34626 |
ISBN: | 978-80-86943-40-4 |
ISSN: | 2464–4617 (print) 2464–4625 (CD-ROM) |
Keywords: | vizualizace;dálkové snímání;Landsat 8;spektrální indexy;odlesňování;sucho;tání ledovců |
Keywords in different language: | visualization;remote sensing;Landsat 8;spectral indices;deforestation;drought;glacial melting |
Abstract: | The Earth’s surface is live and dynamic due to natural and manmade events. Tracking and visualizing Earth-features (e.g. water, snow, and vegetation) is an important problem. Earth observation satellite imagery like Landsat 8 makes the tracking feasible by providing detailed multispectral imagery at regular intervals. In this paper, we explore a single image summary approach to detecting changes in Earth-features by using the Landsat 8 dataset. In our system, we use appropriate thresholds for spectral indices to identify features, reference datasets, and combine multiple images using predefined color palettes to generate a single image summary of features for a region. Furthermore, we illustrate the benefit of our method over traditional visualizations with case-studies for the Lake Urmia, the Amazon Rainforest, and the Bering Glacier. |
Rights: | © Václav Skala - UNION Agency |
Appears in Collections: | WSCG 2018: Full Papers Proceedings |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Tripathi.pdf | Plný text | 5,51 MB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/34626
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