Spatial analysis

Information derived from satellite images can be further enriched by spatial analyses (e.g. aggregation of dwellings to camp blocks, distance analyses,…) and integration of additional GIS data.

Aggregated information often provides a better overview of a situation, wherever there is a high amount of features or classes which cannot be grasped easily. Such hot spot maps can be provided by density calculations from extracted point data (e.g. dwelling density to see where population in a refugee camp is concentrated) or aggregating classification results to larger reporting units (administrative units, regular grids, hexagons, etc.) to show predominant classes (e.g. regarding land cover or dwelling types).

Integration of additional GIS data

The extracted information from EO data can also be enriched with other data.

To keep with the example of spatial-explicit information of single dwellings, this information can be used to calculate distance maps for camp planning, e.g. how many dwellings are within a specific distance to boreholes, hospitals, latrines, etc.

Change analyses

For monitoring purposes, multi-temporal analyses provide changes between two or more time stamps.

A post classification comparison can either look at every change, but for a large number of classes (e.g. land cover) such multi-directional changes are difficult to interpret, or changes for selected classes. Also here the readability/interpretation can be significantly improved if relevant changes are aggregated to regular units.