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
URI: wscg.zcu.cz/WSCG2018/!!_CSRN-2801.pdf
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 SizeFormat 
Tripathi.pdfPlný text5,51 MBAdobe PDFView/Open

Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/34626

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.