With LROC's lunar mapping service, Lunaserv, you can rotate the Moon, zoom down to the Moon's surface, deploy exciting image overlays, and much more!
Lunaserv is a Web Map Service (WMS) implementation, much like MapServer and GeoServer. Lunaserv was developed as part of the Lunar Reconnaissance Orbiter Camera (LROC) project at Arizona State University to circumvent some issues with rendering global non-Earth datasets. The LROC team determined that planetary science creates unique requirements in a map server such as the need for fast and accurate rendering of global datasets, support for the JMARS projection, for IAU2000 spatial reference systems and accurate rendering of non-linear projections.
The LROC NAC is systematically collecting images, with the ultimate goal of complete coverage of the Moon! How to quickly sort through all these data? Quickmap to the rescue!
Quickmap includes overlays of lunar feature names, locations of our featured images, a WAC basemap, WAC topography, NACs with Sun angles to enhance surface features and more. Check back often as the NAC coverage increases and more datasets are added.
LROC utilizes more than one million collected images in a variety of data products. An EDR (Engineering Data Record) is an image and its associated metadata. A CDR is an EDR that has been decompanded and calibrated. An RDR (Reduced Data Record) can be made from as few as one image or as many as thousands that are processed and reduced for the purpose of, for example, making a mosaic that combines multiple images of a particular area or feature, or a high resolution global digital elevation model created with stereo observations.
There are many ways to search through LROC's Data products:Popular Downloads.
One area of scientific interest for the LROC experiment includes permanently shadowed regions (PSRs). While not designed to image within shadowed regions, the LROC Narrow Angle Camera (NAC) can obtain useful images with long exposure observations of PSRs at times of maximum secondary illumination.
Acquisition of NAC PSR observations was refined over several campaigns to optimize the trade-off between signal-to-noise ratio (SNR) and pixel scale, resulting in a comprehensive dataset. The atlas presented here compiles NAC observations of PSRs larger than 10 square km to facilitate scientific analysis. For each PSR, a context mosaic, associated metadata, and comments regarding features of interest are included.
LROC releases much more than just cool images, we also release technical and scientific data collected by LROC.