QuickMap will then magically generate a relief profile of the lunar surface along the line you have drawn, using data derived from the Lunar Orbiter Laser Altimetry (LOLA) results (Figure 4). This is an incredibly useful tool for understanding local topography, but do bear in mind that the graphic profiles generated are exaggerated in elevation. Lunar QuickMap spring 2020 update delivers exciting new features and layers for enhanced user customization and data analysis. LROC is thrilled to announce the Lunar QuickMap spring 2020 update release! The update, which was officially released earlier today, includes many exciting new layers and features, as well as enhancements to previously released layers and tools that you may be familiar.
LROC Lunar QuickMap received a major update this week that includes powerful improvements to interactive features and data. For those unfamiliar with the Lunar QuickMap, it's a highly interactive, web-based Geographic Information System (GIS) tool that hosts a tremendous pool of data from the Lunar Reconnaissance Orbiter Camera and several other prominent instruments that have gathered, or continue to gather, data about the Moon.
Most notably, the fall release includes updated user features, like the ability for users to import their own data, the option to export and import search features and settings, and enhanced Draw & Search tools that help users access and analyze data — including interactive inspection of values and Data Cube extraction. On the data side, a collection of new or updated data layers has been added, like the Wide Angle Camera (WAC) Hapke-Normalized layer, and additional numeric data layers, such as Olivine Abundance. Some raster layers have also been updated and replaced by improved numeric layers, which are layers that have pixels containing geophysical data values in addition to color values. These notable features and layers will be briefly highlighted below, but a full list of the fall updates can be found here.
Updates to user features
Jumping into some of the new features, users can now import GeoTIFF files, re-projecting them onto the Lunar QuickMap 2D views. No data is transferred to the QuickMap servers, so all rendering is done locally, and importing these files to the 3D view is not yet supported. Users can also import Shapefiles in lat/lon projection in addition to previously supported vector data import formats like GeoJSON and CSV. The image below shows how some of these new features might be used together.
In addition to importing new layers, users now have the option to export and import their Draw & Search tool layers and settings. The features are saved to the user's local machine in GeoJSON format and the files can then be shared between users or reimported when the user is ready to resume work or analysis.
The Draw & Search tools have also been enhanced to allow for the extraction and download of numeric datasets along user-defined point, line, and polygon geometries. The animated image below shows how these new tool functions can be leveraged to analyze regions of interest in greater detail.
Updates to data layers
Updates to the data layers include new and improved layers that allow for more advanced control and analysis. Dell latitude e4300 base system device. Improved layers like the WAC+NAC+NAC_ROI_MOSAIC basemap includes select images from the WAC, Narrow Angle Cameras (NACs), and LROC ROI Mosaics to offer a wonderful combination of LROC image resolution and repeat coverage under multiple lighting conditions to deliver amazing, elaborate views of the lunar surface.
Additionally, quite a few more numeric layers have been added. These layers allow users to dynamically stretch, extract, and analyze layer data in much more detail than standard image layers. For example, the WAC Hapke-Normalized layer that previously contained data for just three of the seven WAC color bands has now been supplemented by seven numeric layers, one for each color band, giving users individual control — unlike the previously combined layer. The image below shows one of a few ways that these numeric layers can be quite handy.
The complete list of Lunar QuickMap fall updates can be found here. Check back often as LROC continues to provide future updates that deliver a robust experience and improved data analysis for anyone looking to explore the Moon. Additionally, feel free to look at the previous Lunar QuickMap update post here, which highlights many of the improvements released in the spring 2020 update.
Lunar QuickMap links:
Lunar QuickMap
Fall updates online list
Fall updates PDF list
User Guide
Examples
Layer Inventory
Draw & Search usage
Posted by Rick Hoppe on October 29, 2020 18:32 UTC.
Back to NewsLROC is thrilled to announce the Lunar QuickMap spring 2020 update release! The update, which was officially released earlier today, includes many exciting new layers and features, as well as enhancements to previously released layers and tools that you may be familiar with. The updates provide improved ease and accuracy when searching and analyzing lunar data and a more enjoyable experience for anyone looking to explore the Moon.
In addition to the increasing number of LROC NAC and WAC images and RDR footprints available to the Lunar QuickMap after each LROC PDS release, a large number of incremental updates to instrument and non-instrument layers are also included as data becomes available. Many new layers have been added for instruments like Lunar Orbiter Laser Altimeter (LOLA), Gravity Recovery and Interior Laboratory (GRAIL), Kaguya SELenological and ENgineering Explorer (SELENE), and Lunar Prospector since 2019, as well as new and updated virtual layers, overlays, and footprints.
The new Unified Geologic Map and corresponding labels layers from the USGS Astrogeology Science Center released earlier this year is another amazing addition to Lunar QuickMap. This new geologic map allows the comparison of geologic units across the Moon with unified unit descriptions and ages for all areas. It unifies all the previous Wilhelms geologic maps that were previously on QuickMap, ensuring units match up and are consistent across the entire Moon. In addition, various contacts and linear features will now be displayed and contact labels may be displayed as an overlay on the map (Figure 1).
New LOLA Sun and Earth visibility layers are also now available for the Orthographic (South Pole) and Orthographic (North Pole) projections. With new missions to land at the lunar poles being planned, these layers allow planning future mission communications with Earth (Average Earth Visibility) and solar availability for a given area (Average Sun Visibility), which helps plan for charging solar-powered equipment. The Sun visibility also helps to understand the thermal environment at lander scales for volatile retention and thermal breakdown effects.
A combination of Lunar Prospector and Kaguya magnetic anomaly maps at the surface and at 30 km are also now available (Figure 2). These Lunar Prospector/Kaguya Magnetic anomaly maps are currently the most complete and highest resolution magnetic anomaly maps for the Moon. These should be useful resources for anyone studying features related to these anomalies, such as lunar swirls.
The new layers available in Lunar QuickMap is almost as exciting as the new improvements to support increased layer customization. Dynamic layers is one of these exciting features. With dynamic layers, users may now stretch layer data and mask data outside a desired range using over 40 dynamic layers. Combine these layers with the added ability to create custom layers from over 20 datasets using algebraic expressions (Figure 3), and these new updates transform QuickMap into a powerful platform for data visualization and analysis by giving users unprecedented access to the geophysical data.
Users can now explore the variability of data sets over small regions by dynamically adjusting the scale bars, compare datasets with similar information (slope from the SLDEM vs. GLD100), and filter out data to facilitate interpretation (i.e. removing areas correlated with high slopes from the LOLA albedo map to better understand where there might be surface frost near the poles).
The new features expand on the already breathtaking amount of lunar data and viewing options available to users, so in order to help find and explore that data, QuickMap navigation has also been made more efficient with updates like a new layer search to help filter layers, existing search and filter improvements, and new layer icons to help identify layers by type (Figure 4).
Caltrans Quickmap App
Short URLs are another feature that has been improved to provide shortened, parameter-rich URLs for sharing customized Lunar QuickMap views with friends and colleagues. We've supplied a handful of examples and descriptions (Table 1) to help demonstrate a variety of shareable options.
| Short URL | Example | Layers | Option |
|---|---|---|---|
| https://bit.ly/2S4QDkW | Show current LROC satellite track | LRO Satellite | Fly around point |
| https://bit.ly/2ZtOcwa | Custom algebraic exp: (albedo_wac/albedo_lola) | Virtual, Nomenclature | Fly around point |
| https://bit.ly/2So6gmu | Custom algebraic exp: abs(dem_gld100 - dem_sldem2015) | Virtual, Basemap | Mask 30-200 m |
| https://bit.ly/2tNFgV0 | Temporal layer (time dynamic layer) | Shaded Relief | |
| https://bit.ly/2uq9DRt | Custom slope rendering | SLDEM2015 (+LOLA) | Mask >16.6° |
Another example of a short URL (https://bit.ly/3awqbbb) shows how a user might share exploration concepts by combining some of the new updated features, layers, and the Draw/Search tools: Ideal search site based on terrain slope <15° and permanent shadow; Favorable base location with good polar illumination and low terrain slope; Possible ground track with elevation along a drawn path; Flicker mode enabled on the LRO LEND Polar Water Equivalent Hydrogen layer; WAC Mosaic + NACs basemap; Orthographic (South Pole) projection.
Short URLs are a handy way of exporting and saving custom views from Lunar QuickMap, but users may also enter parameters into the URL for even further custom visualizations. In addition to using SPICE, users may now load derived LRO Keplerian parameters. For example, we can add an orbit using a format-strict input: x,y,z,vx,vy,vz. For example:
https://quickmap.lroc.asu.edu/layers?sat=1926.33304,124.15909,-146.93061,0.12725,-0.00692,1.58686
Quickmap 3d
Budokai tenkaichi 3 save. The new Lunar QuickMap update includes some great new layers and features that further enhance user customization and exploration when it comes to lunar data and the Moon. LROC is excited to share these updates, and we hope you enjoy getting a closer look at our favorite neighbor. If you still have questions about the new features, please watch the following video, or take a look at the resources linked below, which contain detailed information about the newly released updates.
For more examples, please see the LROC Lunar QuickMap examples page. For a detailed list of updates, take a look at the Lunar QuickMap 2020 Update document. Check back often for future Lunar QuickMap updates and visit our regularly updated and popular LROC Featured Image releases.
Quickmap Lunar
Quickmap.com
Additional links:
Lunar QuickMap
Lunar QuickMap Layer Inventory
QuickMap online guide
Posted by Rick Hoppe on June 01, 2020 17:53 UTC.
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