Satellite data

Raster analyses based on satellite imagery are often complex. The biggest challenge in efficiently setting up raster analyses is automating workflows. Large-scale object classification is a highly specialized task that Avineon can assist you with. This process involves a number of steps:

1. Data quality control and correction if necessary: For instance, using atmospheric correction;
2. Defining the raster analysis conditions:
3. Building an automation workflow (e.g., with ArcGIS ModelBuilder or a Python script);
4. Executing and testing the workflow:
5. Discussing whether the result meets the requirements;
6. Optimization.

Satellite data is particularly valuable for analyzing vegetation health, detecting unlicensed buildings, and monitoring the quality of public waters. These are just a few examples. The great advantage of satellite data is that it is widely available. This lowers the barrier to entry for starting raster analysis, as the data is readily accessible.

Open Source Satellite Data

For high-quality satellite data, you rely on international sources from ESA or NASA. In addition, there are a number of local sources in the Netherlands and Flanders that make satellite data available, such as the Drone Data Hub of the Kadaster (Netherlands) and Belgian 3D Data Hub (made possible by several federal parties).

What Avineon Can Do for You

At Avineon, we specialize in Geospatial Data Engineering. Our expertise lies in extracting maximum value from geographical information. We can assist your organization in performing and analyzing complex large-scale raster analyses.