Karttur’s GeoImagine Framework offers a semi-automated processing environment for spatial data, mainly intended for Big Data processing of satellite images and other spatial datasets. To work with the Framework your machine must first be set up with a Spatial Data Integrated Development Environment (SPIDE) as described in my blog on Install and setup spatial data IDE.

At the core of the Framework are object oriented processes. These processes are assembled in groups (called roots), where each group is associated with either a particular data source (e.g. MODIS, Sentinel, Landsat, ancillary etc), or a particular kind of process (e.g. time series processing, scalar, overlay, export etc). Many root processes are also associated with a specific, purpose-built, Python package.

To search for a particular package or process, use these links to browse the content of Karttur’s GeoImagine Framework:

• Python packages
• Root processes
• Sub processes

Preparations

If you intend to setup a clone, or your own version, of Karttur’s GeoImagine Framework you first need to create a Python environment. It is strongly recommended that you do that as a [Conda virtual environment]https://karttur.github.io/geoimagine03-docs-main/prep/prep-conda-environ/).

The second step is to Get Karttur’s GeoImagine Framework into Eclipse, where Eclipse (for PyDev) is also part of the SPIDE installation.

Then you also have to prepare the database connections for the PostgreSQL database installed as part of the SPIDE. Before actually running any of the processes it will help if you get acquainted with the conceptual backbone. After that you can follow the step-by-step posts in the setup section.

The Turorial contains various examples processing different kinds of data in the Framework. Under Develop you find instructions for how to setup your own version of the Framework.

Python environment and database connection

• Python virtual environment January 05, 2021 Create Conda Python environment for Karttur’s GeoImagaine project
• Database connections January 06, 2021 Prepare database connections for Karttur’s GeoImagine Framework
• Run GRASS from Python January 08, 2021 How to start and run GRASS from within an external Python script.

Get Framework

• Git clone with Eclipse and no project November 20, 2020 Clone Karttur’s GeoImagine Framework from GitHub using Eclipse and create the PyDev project by linking
• Git clone with GitHub Desktop or terminal November 22, 2020 Clone Karttur’s GeoImagine Framework from GitHub using GitHub Desktop or git terminal commands
• Import Project to Eclipse November 24, 2020 Import Karttur’s entire GeoImagine Framework as a PyDev project to Eclipse
• Copy and paste Karttur's GeoImagine Framework November 25, 2020 Copy and paste selected packages and modules of Karttur’s GeoImagine Framework in Eclipse

Concept

• Framework key concepts October 01, 2020 Key concepts: processes and compositions, and how they are represented in json.
• Json elements, variables and objects October 01, 2020 Json command file structure.

Setup

• Karttur's GeoImagine Framework:
  Basic components installation November 27, 2020 A complete installation scheme for the basic components of Karttur’s GeoImagine Framework
• Karttur's GeoImagine Framework:
  Set up the database (setup_db) December 01, 2020 Run the setup_db package to setup the postgres database for Karttur’s GeoImagine Framework
• Karttur's GeoImagine Framework:
  Setup processes (setup_processes)
  Part 1 Setup processes December 02, 2020 Setup the processes for Karttur’s GeoImagine Framework
• Karttur's GeoImagine Framework:
  Setup processes (setup_processes)
  Part 2 Projection and tiling systems December 03, 2020 Setup custom projection system and tiling
• Karttur's GeoImagine Framework:
  Setup processes (setup_processes)
  Part 3 Database backup and restore December 05, 2020 Backup and restore (setup) alternatives for the Postgres database
• Karttur's GeoImagine Framework:
  Setup processes (setup_processes)
  Part 4 Default regions December 08, 2020 Setup the default country and continent regions for Karttur’s GeoImagine Framework
• Karttur's GeoImagine Framework:
  Setup processes (setup_processes)
  Part 5 MODIS tile regions and data access December 09, 2020 Setup MODIS regions and access to MODIS LPDAAC products for Karttur’s GeoImagine Framework
• Karttur's GeoImagine Framework:
  Setup processes (setup_processes)
  Part 6 EASE-grid tile & projection system December 10, 2020 Setup EASE-grid 2 tiling and projection systems and define default regions
• Karttur's GeoImagine Framework:
  Setup processes (setup_processes)
  Part 7 Landsat scene positions December 11, 2020 Link Landsat scene positions to default regions.
• Karttur's GeoImagine Framework:
  Setup processes (setup_processes)
  Part 8 Sentinel satellite data & MGRS tiling December 11, 2020 Setup the Military Grid Reference System (MGRS) for tiling of sentinel satellite data
• Karttur's GeoImagine Framework:
  System setup & tiling December 25, 2020 The regional tilling system of Karttur’s GeoImagine Framework
• Karttur's GeoImagine Framework:
  Link regions & system tiles December 27, 2020 Linking default regions to regional tiling systems of Karttur’s GeoImagine Framework
• Karttur's GeoImagine Framework:
  Vectorise regions December 27, 2020 Reproject regions to the system projection and generate a vector file of the region and the associated tiles
• Karttur's GeoImagine Framework:
  Setup processes (setup_processes)
  Simplify vector lines and polygons December 30, 2020 Simplify vectors during import by changing the tolerance for vertices positional accuracy

Blog

• DEM processing 10: Extracting kernel indexes with GDAL October 06, 2021 Process chain for Copernicus DEM: xtracting kernel indexes with GDAL
• DEM image layout October 02, 2021 Elevation symbolisation; color ramping, hill shading and legends for image maps
• Process chain for Copernicus DEM September 28, 2021 Complete process chain for Copernicus DEM using Kartturs GeoImagine Framework
• Hydrografi August 30, 2021 Extracting hydrografi from DEMs
• Create regional DEM August 04, 2021 Identify and defined a regional DEM

Develop

• GitHub Submodules with git November 10, 2020 Create submodules and a superproject using git
• GitHub Submodules November 15, 2020 Organize GitHub repositories with python packages as submodules
• git superproject and submodels January 02, 2021 Create the git superproject with Kartturs GeoImagine Framework packages as submodules
• Add, commit and push submodules January 03, 2021 If your Framework PyDev project is not linked to a git origin, this post describes how to add, commit and push changes via the local repo that is linked to a git origin.
• Update submodules January 04, 2021 Update submodules belonging to git suer-project repo.
• Sphinx python documentation September 27, 2022 Use Sphinx for documenting python packages and modules

Depreciated