Quick Start

  1. Click icon in the QGIS Tool Bar or via Raster ‣ EO Time Series Viewer to start the EO Time Series Viewer

  2. Click Files ‣ Add example to load an exemplary time series of Landsat and RapidEye observations.

    Open the sensor panel View ‣ Panels… ‣ Sensors / Products and change the sensor names







    The change of sensor names becomes visible in other other parts of the GUI as well, e.g. the list of time series source images.

  1. Use the scroll band and the map tools mActionZoomIn mActionZoomOut mActionPan to change the temporal and spatial subset shown from the time series.

  2. Open the Mapping panel, change the map view name from Map View 1 to True Color and set the multiband color render band selection to RGB = 3-2-1 for both, Landsat and RapidEye images (right-click on layer, Set Properties ‣ Style).


Use mActionRefresh to refresh or redraw related maps, spectral profile plots etc.

  1. Now we like to optimize the color stretch. Choose a -clouded Landsat observation like 2014-06-24 and use the map context menu (right-mouse-click) to click on Stretch to current extent … ‣ Linear 5%. Repeat with Linear and Gaussian stretch as well as for RapidEye images to see how this changes the band-specific min/max values in the Map View settings.

  2. Click mActionAddMapView to create a second map view, respectively row of map images. Call it Short-Wave IR and the the multiband color render bands to Landsat RGB = 4-5-3 and RapidEye RGB = 5-4-3

  3. Expand the Map Properties combobox (in the Mapping panel), increase the map size to 300x300 pixel and press Apply.

  4. Bring the Temporal Profile panel View ‣ Panels… ‣ Sensors / Products and the 2D page to the front. Click mIconTemporalProfile and select a map location to visualize the temporal profile for. Each selected map location will be listed in the panels mActionOpenTable Coordinate page.

    Go back to the 2D plot page and add a second profile with RapidEye data as Sensor source. Change the expression field to show the Normalized Difference Vegetation Index (NDVI) for both sensors:


    Expression NDVI