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  1. That's it, but why when I extracted the spectral profile to a *.txt file, the file still include the default bad bands?
  2. Hello Explorers, I want to make sure whether the default bad bands algorithm is already applied to TRR3 datasets or not. I noticed that in your useful doc "CRISM Data Users' Workshop Nili Fossae Data Processing Walkthrough". The example of (page 10) shows that before the S (VNIR) TRR2 cube being converted to CAT format, some bad bands have been detected at 0.4um and 0.7um as well while TRR3 version not, in this version it seems like the mentioned algorithm is already applied. If it's so, does conversion to CAT can affect on the future pre-processing analyses (I mean photometric correction, atmospheric correction, etc)? Look forward to your reply, Rochdi Khalid.
  3. Hello Ray, I'm looking for DEM of the scene above. Is PDS Geosciences Node Data provide Digital Elevation Models of CRISM data? Your help is much appreciated, Rochdi.
  4. Thanks a lot, Ray. But I came up with this instead, I chose to create two views, one for the preprocessed TRDR data, and other for the spectral index map. Then, I link them together as seen below. Now, I can see the spectral profile of each pixel I clicked on.
  5. Thanks a lot, Sir. I still have another question, I used ENVI band math to calculate a certain index, the output shows a signle monochrome image as seen below. By using the mentioned output, I want to display the spectral profile of the bright areas, but the "spectral profile" icon in the ENVI toolbar is disabled, it gives only three options: arbitrary profile, horizental profile, and vertical profile. Does it occur because the displayed output is one monochrome band? if it's so, how can I fix this, please? Your help is much appreciated, Rochdi.
  6. Thanks a lot, Now I'm totally sure about it. Please, I still have one question, is it necessary to flatten result after I do a band math? and what is used for?
  7. Hello There, Just to make sure and to erase any doubts I have about the calibrated CRISM directories: TRDR: this CRISM contains hyperspectral targeted observations converted to units of radiance (I/F), divided into two spectral cubes VNIR (s) and IR (L). TER: this CRISM directory includes I/F hyperspectral targeted observations with a full spectral range (VNIR-IR), this directory has been corrected for geometric, photometric, atmospheric, and intrumental effects. MTRDR: Map-projected version of TER directory. Currently, I'm using TRDR directory in my research but I'm still wondering about the most recommended directory for mineral detection. Look forward to your reply, Rochdi Khalid
  8. Hi Ray: Thanks a lot, that's what I did.
  9. Hi Ray: the data I'm using includes IF in their label (frt0000a0b7_07_if164l_trr3 | frt0000a0b7_07_if164s_trr3). So, there's no need to convert them to IF. But is it okay to see "data_value" in Y axis instead of "I/F" while I display the spectral profile? Thanks.
  10. Hello There, Should I do "Radiance to IoF" before I convert the PDS CRISM data to CAT? I'm asking this question because I want to analyze the spectral profile of a mineral on Ritchey crater using CRISM L cube data, but I noticed the Y axis missed "I/F" as highilighted in your docs. The graph axes are the following: -> X axis: Data Value -> Y axis: Wavelength (um) Do I really need to apply "Radiance to IoF" first? is this like a "Radiometric Correction" to PDS CRISM data? I used to do this, but an error has occurred said: "The input data is not a radiance" Your help is much appreciated.
  11. Hello Sir Ray Arvidson, Sometimes I ask stupid questions, but I extracted the spectral signatures of those bright areas. Thanks a lot for your tremendous help Sir Ray, and thanks to Jennifer G. Ward for the mentioned paper. Rochdi.
  12. That's it, Sir Hope I'm not bothering you, as you know the L (IR) cube is already converted into IOF. If I want to extract the spectral signature of these bright areas which highlighted in the output above, could I use CAT toolkit for this purpose? or just a tool from ENVI toolbox?
  13. Alright, then. Concerning other indices which have different reflectance values compared to L cube bands values. In this case, Can I assign the bands which are closest to the reflectance values of those indices? Rochdi.
  14. So, is the result I got above is the expected one?
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