Thanks Matt my problem is that this operation needs to be performed over a very wide area, comprised of many images with many water bodies, so it needs to be automatic.
My plan is to write something in python that: - generates vector polys from original NODATA pixel areas (greater than a given area) - performs the raster interpolation using fillnodata (fills lakes) - then loops through each vector (water) feature: - creates a raster mask of this feature - calculates the average elevation for the water feature - writes that value back over the same data, - loops next vector feature our data is fairly good in that the water/shoreline doesn't vary much, so i'm expecting ther'l be no cliff effects as you experienced. cheers for your input! -i -----Message d'origine----- De : Matt Wilkie [mailto:[email protected]] Envoyé : Tuesday, 27 September 2011 7:48 PM À : Ivan Price Cc : [email protected] Objet : Re: [gdal-dev] gdal_fillnodata smoothing water for a DEM On September-27-11 9:50:39 AM, Matt Wilkie wrote: > Here is an excellent article on editing elevation models using photo > tools by Tom Patterson of the US National Park Service: > http://www.shadedrelief.com/dem/dem.html If this appears to be out of context, that's because it is. ;-) It's an addendum to a longer message with some attached images which is still waiting in the moderation queue. matt wilkie -------------------------------------------- Geomatics Analyst Information Management and Technology Yukon Department of Environment 10 Burns Road * Whitehorse, Yukon * Y1A 4Y9 867-667-8133 Tel * 867-393-7003 Fax http://environmentyukon.gov.yk.ca/geomatics/ --------------------------------------------
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