Changelog Description Summary Product Sheets MSPA Download Examples
GuidosToolbox (Graphical User Interface for the Description of image Objects and their Shapes) contains a wide variety of generic raster image processing routines, including related free software such as GDAL (to process geospatial data and to export them as raster image overlays in Google Earth), and FWTools (pre/post-process and visualize any raster or vector data). The GuidosToolbox Workbench (GWB) contains most popular image analysis modules setup as commandline-only scripts for automated mass-processing on Linux 64bit servers.
All tools are based on geometric principles and can thus be applied at any scale and to any kind of raster data.
GuidosToolbox also includes MSPA (Morphological Spatial Pattern Analysis), a customized sequence of mathematical morphological operators targeted at the description of the geometry and connectivity of the image components. The MSPA website provides further information on MSPA features, application examples as well as links to download MSPA-plugins for GIS applications.
The graphical user interface of GuidosToolbox.
The image below shows a subset of image analysis modules in GuidosToolbox (more information can be found in the GuidosToolbox Manual). Please click on any of the light-blue rectangles to open the respective product sheet:
Details on GTB are summarized in the workshop presentation GWS3, or click on the icons below to view the GuidosToolbox
reference paper or download the overview presentation (pptx or small-size pdf).
Using GuidosToolbox requires accepting the GuidosToolbox End User Licence Agreement: EULA
GuidosToolbox is available in the following options (revision history, see changelog):
Note: MSPA plugins/extensions for ArcGIS, QGIS and R can be downloaded from the MSPA-website
Key features of version 3.0:
1) Accounting: How much forest do we have? Where and how large are the forest patches? Visualization and statistics of image objects in up to six user-selected area categories plus three largest objects (pink).
2) Fragmentation - FAD: Where and how much fragmented is the forest cover? How does the degree of fragmentation change over different observation scales? Fragmentation analysis over 5 observation scales and providing 6 classes of fragmentation: Intact, Interior, Dominant, Transitional, Patchy and Rare foreground cover.
3) Restoration Planner: Which is the most efficient way to go from A to B? Automatically detect optimum restoration paths between user-selectable objects. Measure expense for restoration effort and assess the overall network coherence.
4) Restoration Planner: How efficient is a given restoration pathway? How much does it cost? How does it impact the coherence of the network? Use the Setup Tools to modify the landscape for your application needs. Insert custom shapes of habitat, blocking elements (i.e. motorways) and landcover specific resistance. Interactively add a restoration pathway to get instant feedback on expense and efficiency.
5) Distance - Influence zones: How far apart are patches from each other? Which separate patches may be functionally connected when impacted by a pest disease? Highlight core areas of minimum size and show outreach buffer zones.
6) Pattern - MSPA: Where are isolated small fragments, core areas, connecting pathways, and holes in intact forest areas? How often do they occur and what is their area? Show spatial distribution and statistics for morphological pattern classes and different type of openings inside foreground (median-grey: border-opening, dark-grey: core-opening). The Integrity of the integral foreground is 88.24% <=> 11.76% are Openings.
7) Pattern - SPAx: MSPA too complex? Less is more: How are the Core areas structured? Where and how many holes do we have? Use SPA3 to focus on Core area and Core-Openings; SPA5 to further distinguish inside and outside Core-boundaries; or SPA6 to additionally detect small fragments. Use MSPA for more elaborate analysis.
8) Change - Morphological Change Detection (MCD): Can you remove the spurious changes and show the essential change areas only? MCD showing gain, loss, unchanged foreground (dark) and background (light).
9) Landscape Mosaic: Which land cover type is dominant in which part of the landscape? Where do we find homogeneous land cover and where a strong intermix of different land cover types? Left: Showing for each pixel the relative proportions of 3 classes (here: Agriculture, Natural, Developed) at a user-selectable observation scale. Right: The heatmap summary showing the relative pixel occurence frequency in each mosaic category.
10) Google Earth overlays: Export/save your results as Google Earth image overlays. Click any of the maps below to open them in Google Earth on your PC:
Instructions: Make sure you have Google Earth (version 4 or higher) installed or download and install the latest version here. Click on the overlay of interest and select 'Open with Google Earth' in the popup window. Alternatively, right-click one of the links below and save the kmz-file to your PC. Then double-click this file, or right-click and select: 'Open with Google Earth', or drag and drop this file over Google Earth.
Important: For proper display in Google Earth ensure that in
Google Earth: Tools --> Options --> 3D View --> Texture Colors, the Compress option is unchecked,
then restart Google Earth. Please read and follow the instructions in the initial Information window.
Note: the transparency of the image overlay is only
applicable to the currently active (tickmarked) and selected
(highlighted) entry in the Panel section. In the example on
the right image moving the slider will change the
transparency for the overlay Europe, Africa.