Postup pro analýzu rastrových dat

Question

<\/HEAD>Ahoj, snažím se přiblížit vzdálenosti mezi skalními výchozy z leteckých snímků a nejsem si jistý, jak provést vhodnou analýzu na rastrových datech. Viděl někdo podobný článek s postupem na toto téma, nebo víte, jaké nástroje bych měl začít používat? Díky!<\/P><\/BODY><\/HTML>

ChrisDonohue__GISP · Answer

To tag onto what Darren mentioned, if part of your goal requires identifying the rock outcrops from the imagery, there are some things to look out for.

First, keep an eye out what imagery was used by others for this sort of analysis and what bands they used.  Often there are certain band combinations that have been found to work well for specific identification tasks.  Particularly important is finding out what interferences are out there that can cause misclassification.

Second, plan to do a few iterations before coming up with the final result.  I'll offer an example that is relevant given your topic - I used Landsat data from Eastern Washington State in the mid 1990's in grad school for a Remote Sensing class project to evaluate land cover.  Using Supervised Classification, I came up with a seemingly good classification system, but when I ground-truthed the results afterwards, it turned out water and basalt outcrops were both being classified as water.  And there were many basalt outcrops in my project areas....Ooops.  Ultimately, this led to using a different band combination to differentiate the two, with much better results in the long run, but it sure added to my workload in the short run to fix that unexpected outcome.

So keep an eye out for what combinations people use for outcrop identification and how they avoid interferences.  Additionally, when you do run the classification, be sure to include time for several iterations, with ground-truthing the results as part of each iteration if possible so you can refine your results.

Chris Donohue, GISP

DarrenWiens2 · Answer

Have you identified the rock outcroppings in your image?

If not, is it an RGB or multispectral image? If multispectral (or even RGB, potentially) start here for more information about image classification. I assume you'll want to go with supervised classification (i.e. draw some training polygons around known rock outcroppings, then extrapolate those spectral signatures to the rest of your image).

Once you've identified the outcroppings, run Region Group to identify distinct outcroppings. Then, convert the grouped outroppings raster to polygon. Finally, run the Near tool to get the distance from each outcropping to the next nearest outcropping (requires advanced license).

DanPatterson_Retired · Answer

Assuming you have the Spatial Analyst extension and a georeferenced image in projected coordinates, you can start with

Euclidean Distance—Help | ArcGIS for Desktop