ICS map server: Extracting Clutter from Landsat 8 Multispectral Imagery

Posted by: In: Products 19 Dec 2013 Tags:

Landsat 8 Image

Figure 1: Landsat 8 Image

With the release of Landsat 8 satellite imagery from the U.S. Geological Survey earlier this year, there is a renewed opportunity to acquire better quality land cover and land use data for performing a propagation simulation using digital terrain and clutter models. ATDI has released a white paper describing a few of the principle techniques utilized in extracting various classes of clutter from Landsat 8 multispectral imagery.


Figure 2: Final Clutter layer of Sao Paulo, Brazil

Extracting Clutter Information from Landsat 8 Multispectral Imagery: When conducting a spectrum engineering study, it is common to perform a propagation simulation using digital terrain and clutter models. It is also common to display the simulation results of digital map imagery. High fidelity map imagery is now widely available to the public thanks to the competitive efforts between Google, Microsoft, Nokia, Apple and others. There are very few places in the world where one cannot find high resolution aerial, satellite imagery or detailed street maps. Additionally, free global terrain data is also easily accessible on the internet. The SRTM v.4 and ASTER projects have produced a contiguous medium resolution surface model of most of the planet. On the contrary, access to a good quality worldwide baseline for clutter data is still nonexistent. In a radio frequency propagation analysis, a clutter model provides information about the static morphological conditions above the terrain. Common clutter categories can include urban, suburban, open water and vegetation. Attaching measurement derived statistics and associating these values with a clutter model is a common methodology used for tuning propagation models.

Download the full white paper:pdf.gif  Extracting Clutter from Landsat 8 Multispectral Imagery


Figure 3: Image of Sao Paulo with Final Clutter layer with roads inserted

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