12 Jan 2009 10:02 AM |
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Dear All
I would like some feedback in how best georeference images from very mountanous areas. I am working with SPOT and Landsat images and I am doing and Image-to-map registration, so they fit better the maps I am using for analysis.
Can any body give me suggestions regarding the method (RST, polynomial etc) and the resampling procedures?
Thank you
Shaenandhoa García Rangel
PhD candidate
Wildlife Research Group
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MariM Veteran Member
Posts:2396  
14 Jan 2009 01:28 PM |
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SPOT data should come with metadata that allows the georeferencing and/or orthorectificaiton to be automated via Map ->Georeference SPOT or Map ->Orthorectification ->SPOT. Does your SPOT data come as DIMAP (with a .dim file)?
If not and you must perform a manual registration, there is no one answer to your question. More complex surfaces such as those in mountainous areas typically require polynomial equations to model them. But even better would be to perform an orthorectificaiton with an associated DEM to account for the complex terrain.
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Deleted User New Member
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16 Jan 2009 04:12 AM |
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Thank you very much for your suggestion.
Unfortunately I lack the necessary RCP file. I'll try to see if I manage to build them myself.
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Deleted User New Member
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17 Jan 2009 05:59 AM |
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Hello again.
I tried to georeference my image with Georeference SPOT but since my leader file is XML, ENVI shows an error. The orthorectification doesn't work either given the lack of the RCP file.
So I tried the option for retaining the RCP information suggested on the ENVI Help, but no luck, I think again is because of my file XML extension. Is there any workaround for this?
The problem that I have with buidling the RCPs myself, is that I don't have the elevation information for my GCPs.
Thank you
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Deleted User New Member
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02 Feb 2009 12:17 PM |
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For your landsat image, you can find an MRLC landsat image of same path/ row then do an automatic image to image registration (warp) in ENVI. The MRLCs have already been terrain corrected.
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Deleted User New Member
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11 Feb 2009 10:16 AM |
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Thank you!
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