Remote Sensing

SWALIM will use satellite images to produce the basic and derived maps necessary to assess the Land Suitability and Agricultural Production Potential for the Juba and Shabelle Riverine Areas (Southern Somalia) and for the Dur-Dur/Gebiley catchments (Northwestern Somalia).

The methodology for the production of the land cover and landform maps based on satellite imagery has been schematically subdivided in four main phases:

  1. Image processing;
  2. Photointerpretation;
  3. Field data collection and analysis;
  4. Map production.

During these steps we produce several images called False Colour Composite (some of them reproduced on the calendar). Every different composite allows analysing better different aspects of the land surface. As an example, taken from the Landsat sensor, composite 457 is used mainly for the study of vegetation and soil conditions; composite 432 is used for analyzing vegetation, soils, settlements; composite 643 mainly for wet areas, irrigated agriculture, vegetation; composite 675 mainly for wet areas, soil conditions, vegetation conditions, irrigated agriculture.

Different satellites allow performing different analysis and studies, according to the difference in the electromagnetic spectrum they can detect and to their spatial resolution. For example the Landsat satellite can distinguish from the surroundings an object that has a dimension of 30 x 30 meters; the Aster satellite can define an object of 15 x 15 meters; the Ikonos satellite can identify objects of 1 x 1 meters of size; finally, the Quickbird satellite can render an object of 60 x 60 cm of size. The latter is closer to the definition of a picture taken from the ground than to the traditional satellite images.

The following maps are available for your download:

Landsat Images

Aster Images

Ikonos Images

3D Images

3D LANDSAT IMAGES

3D ASTER IMAGES

3D IKONO IMAGES

3D QUICKBIRD

3D MULTILAYERS