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LROC Wide Angle Camera (WAC) Data

We will focus on the monochromatic images for this sensor.

Downloading WAC Data

Searching/Downloading from LODE

Visit the Lunar Orbital Data Explorer (WUSTL).

STEP 1: SELECT DATA SETS TO SEARCH

  • Lunar Reconnaissance Orbiter
    • Raw Data
      • PDS4 Experiment Data Record Wide Angle Camera - Mono (EDRWAM4)

STEP 2: SET ADDITIONAL FILTERING PARAMETERS
Set a lat-lon window, or pick a notable feature (like a named crater) to narrow the search.

Here are a couple of images with the Tycho crater:

http://pds.lroc.asu.edu/data/LRO-L-LROC-2-EDR-V1.0/LROLRC_0002/DATA/MAP/2010035/WAC/M119923055ME.IMG
http://pds.lroc.asu.edu/data/LRO-L-LROC-2-EDR-V1.0/LROLRC_0002/DATA/MAP/2010035/WAC/M119929852ME.IMG

Importing and Processing LROC WAC Images in ISIS

Importing

Import image to ISIS cube with lrowac2isis

lrowac2isis from = image.IMG to = image.cub
This will create even and odd datasets, with names like image.vis.even.cub and image.vis.odd.cub.

Add SPICE data with spiceinit

spiceinit from = image.vis.even.cub
spiceinit from = image.vis.odd.cub

Processing

Radiometrically Calibrate the images with lrowaccal

lrowaccal from = image.vis.even.cub to = image.vis.even.cal.cub
lrowaccal from = image.vis.odd.cub  to = image.vis.odd.cal.cub

Map-Projecting and Fusing

If even and odd images are inspected with qview, it can be seen that instead of a single contiguous image, we have a set of narrow horizontal bands, with some bands in the even and some in the odd .cub file. The pixel rows in each band may also be recorded in reverse.

To fix these artifacts, map-project these images and fuse them.

Map Project the images with cam2map

cam2map from = image.vis.even.cal.cub to = image.vis.even.cal.map.cub
cam2map from = image.vis.odd.cal.cub  to = image.vis.odd.cal.map.cub  \
  map = image.vis.even.cal.map.cub matchmap = true

Note how in the second cam2map call we used the map and matchmap arguments. This is to ensure that both of these output images have the same resolution and projection. In particular, if more datasets are present, it is suggested for all of them to use the same previously created .cub file as a map reference. That makes terrain creation with photogrammetry work more reliably.

Fuse the images with noseam

For the input of noseam, make a list of images.

ls image.vis.even.cal.map.cub image.vis.odd.cal.map.cub  > image.txt
noseam fromlist = image.txt to = image.noseam.cub SAMPLES=73 LINES=73