Lunar Mapping and Modeling On-the-Go: A mobile framework for viewing and interacting with large geospatial datasets

The Lunar Mapping and Modeling Portal (LMMP, https://www.lmmp.nasa.gov/) is a collaboration between four NASA centers, JPL, Marshall, Goddard, and Ames, along with the USGS and US Army to provide a centralized geospatial repository for storing processed lunar data collected from the Apollo missions to the latest data acquired by the Lunar Reconnaissance Orbiter (LRO). We offer various scientific and visualization tools to analyze rock and crater densities, lighting maps, thermal measurements, mineral concentrations, slope hazards, and digital elevation maps with the intention of serving not only scientists and lunar mission planners, but also the general public. The project has pioneered in leveraging new technologies and embracing new computing paradigms to create a system that is sophisticated, secure, robust, and scalable all the while being easy to use, streamlined, and modular. We have led innovations through the use of a hybrid cloud infrastructure, authentication through various sources, and utilizing an in-house GIS framework, TWMS (TiledWMS) as well as the commercial ArcGIS product from ESRI. On the client end, we also provide a Flash GUI framework as well as REST web services to interact with the portal. We have also developed a visualization framework on mobile devices, specifically Apple's iOS, which allows anyone from anywhere to interact with LMMP. At the most basic level, the framework allows users to browse LMMP's entire catalog of over 600 data imagery products ranging from global basemaps to LRO's Narrow Angle Camera (NAC) images that provide details of up to .5 meters/pixel. Users are able to view map metadata and can zoom in and out as well as pan around the entire lunar surface with the appropriate basemap. They can arbitrarily stack the maps and images on top of each other to show a layered view of the surface with layer transparency adjusted to suit the user's desired look. Once the user has selected a combination of layers, he can also bookmark those layers for quick access in subsequent sessions. A search tool is also provided to allow users to quickly find points of interests on the moon and to view the auxiliary data associated with that feature. More advanced features include the ability to interact with the data. Using the services provided by the portal, users will be able to log in and access the same scientific analysis tools provided on the web site including measuring between two points, generating subsets, and running other analysis tools, all by using a customized touch interface that are immediately familiar to users of these smart mobile devices. Users can also access their own storage on the portal and view or send the data to other users. Finally, there are features that will utilize functionality that can only be enabled by mobile devices. This includes the use of the gyroscopes and motion sensors to provide a haptic interface visualize lunar data in 3D, on the device as well as potentially on a large screen. The mobile framework that we have developed for LMMP provides a glimpse of what is possible in visualizing and manipulating large geospatial data on small portable devices. While the framework is currently tuned to our portal, we hope that we can generalize the tool to use data sources from any type of GIS services.