Paper Info
Title
Visualizing and labeling dense multi-sensor earth observation time series: The EO Time Series Viewer
Abstract
Multi-spectral spaceborne sensors with different spatial resolutions produce Earth observation (EO) time series (TS) with global coverage. The interactive visualization and interpretation of TS is essential to better understand changes in land-use and land-cover and to extract reference information for model calibration and validation. However, available software tools are often limited to specific sensors or optimized for application-specific visualizations. To overcome these limitations, we developed the EO Time Series Viewer, a free and open source QGIS plugin for user-friendly visualization, interpretation and labeling of multi-sensor TS data. The EO Time Series Viewer (i) combines advantages of spatial, spectral and temporal data visualization concepts that are so far not available in a single tool, (ii) provides maximum flexibility in terms of supported data formats, (iii) minimizes the user-interactions required to load and visualize multi-sensor TS data and (iv) speeds-up labeling of TS data based on enhanced GIS vector tools and formats.
Year
DOI
Venue
2020
10.1016/j.envsoft.2020.104631
Environmental Modelling & Software
Keywords
Field
DocType
Change detection,Training,Validation,Open-source,QGIS plugin,EO time series viewer
Calibration and validation,Computer graphics (images),Visualization,Computer science,Interactive visualization,Temporal database,Software,Earth observation,Plug-in,Management science
Journal
Volume
Issue
ISSN
125
C
1364-8152
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Benjamin Jakimow1333.20
Sebastian van der Linden28410.59
Fabian Thiel300.34
David Frantz4367.24
Patrick Hostert524124.33