…and of course I meant to say “hillshade” not “hillside” - autocorrect is not GIS savvy!—Jarlath O’Neil-DunneUniversity of Vermont | Spatial Analysis Lab
On Mar 25, 2015, at 3:23 PM, Jarlath O'Neil-Dunne <[log in to unmask]> wrote:I do large hillside from massive LiDAR datasets using the Image Analysis tools. Hillshade in less than a second and minimal storage space.http://resources.arcgis.com/en/help/main/10.2/index.html#//009t0000007r000000—Jarlath O’Neil-DunneUniversity of Vermont | Spatial Analysis Lab
On Mar 25, 2015, at 3:14 PM, Christi Ludlow Townsend <[log in to unmask]> wrote:------------------------------------------------------------------------- This list (NEARC-L) is an unmoderated discussion list for all NEARC Users.Hi,I am creating a global hillshade file from the GLSDEM. I've mosaiced the tiles into four hemisphere-wide rasters (16-bit signed integer). I am running each mosaic through the ESRI 10.2 Hillshade tool which outputs 8-bit unsigned files. There are 2 issues:1) The output files are still huge (20GB or something ridiculous). I have tried tif, jp2 and img but none of them help with file size.2) I'd like to remove or make transparent the non-shaded areas. ESRI directions say to use a reclassify or extract by attribute to separate non-zero values. Thing is, most of the resulting hillshade pixel values are non-zero so not much area would be made transparent by creating such a file.Any ideas?It seems that much of the support documentation assumes you want to use mosaic datasets which I cannot in this case.Many thanks,ChristiIf you no longer wish to receive e-mail from this list, you can remove yourself by going to http://listserv.uconn.edu/nearc-l.html.
------------------------------------------------------------------------- This list (NEARC-L) is an unmoderated discussion list for all NEARC Users.If you no longer wish to receive e-mail from this list, you can remove yourself by going to http://listserv.uconn.edu/nearc-l.html.
If you no longer wish to receive e-mail from this list, you can remove yourself by going to http://listserv.uconn.edu/nearc-l.html.