AirWorks Data Marketplace
Guide to Off-the-Shelf Geospatial Data Libraries
Table of Contents
Jump ahead to learn more about a specific data provider:
Introduction
As we’ve continued to develop our product and expand our network, we’ve been excited to meet more and more people who are familiar with AirWorks and interested in investing in our AI feature extraction software. But we’ve noticed something curious…when people talk about “AirWorks,” the conversation often jumps straight to “drones.”
They’re not wrong – we do have a strong background in extracting planimetric linework from drone imagery. It’s no secret that AirWorks’ patented AI feature extraction algorithms were trained using high-quality survey-grade photogrammetry and orthomosaics. But as our algorithms have evolved, so has our ability to analyze a wider variety of data. As we’ve moved into the world of lower-resolution input, our foundation in processing high-resolution imagery means our model is still creating the most precise, pixel-accurate linework possible, even as features become less distinguishable.
So, no drone imagery? No problem.
We welcome a wide range of imagery and point cloud data – whether collected via drone, manned aircraft, balloon, satellite, or mobile methods – for processing through our platform. And it’s this increasingly diverse data that fosters our continued success, building an increasingly stronger model with increasingly more accurate output.
Why are AEC firms looking to use off-the-shelf geospatial data?
There are lots of reasons that you may want to look at options beyond in-house data collection. Maybe your project focuses on conceptual design and doesn’t require survey-grade accuracy, or a tight turnaround or remote site means your field crew will have trouble working an upcoming project into their already-overbooked schedule. Or, maybe you’re still in the process of getting your in-house data collection program up and running! Whatever the case, you still need to acquire quality site data and develop final plans that are as accurate as the data will allow ‒ and quickly.
What benefits can AEC firms gain by using off-the-shelf geospatial data?
The good news is there are a host of companies working to make widespread, high-quality geospatial aerial imagery and LiDAR data available to all. Off-the-shelf geospatial data repositories are saving AEC firms time and money and broadening their reach by allowing them to reduce or even skip the hassle of fieldwork and stream or download the geospatial data they need. And the best part? These files can be uploaded directly to AirWorks for fast and accurate AI feature extraction and linework.
How can AEC firms evaluate and compare off-the-shelf geospatial data?
Of course, before jumping in and grabbing off-the-shelf geospatial data, you need to understand your project requirements and potential limitations on your available data sources vs. survey-grade drone data. Here are some things to consider when exploring your options:
Ground Sample Distance (GSD)
In aerial and satellite imagery, GSD refers to the distance between the center points of pixels on the ground. In other words, the lower the GSD, the higher the image resolution. Sensor quality and altitude both factor into overall clarity. Imagery collected from manned aircraft and weather balloons typically fall in the 3-4 inch (7-10 cm) GSD range; sub-3 inch (7 cm) GSD is considered exceptional. Providers may also offer slightly lower resolution (6-12 inch, or 15-30 cm, GSD) for when maximum detail isn’t a priority. Satellite imagery typically falls in the 12-inch (30 cm) and above range. Understand what resolution your project requires and then double-check what providers are offering.
Point Density
For LiDAR point cloud data, the point density of a laser scan is the 3D equivalent of GSD. The higher the point density (in points per unit area), the higher the resolution and the more accurate the 3D model will be.
Positional Accuracy
How close is what you’re seeing in the imagery to where it is in real life? Don’t be afraid to ask, as accuracy varies from provider to provider. Here are some terms that might be helpful when evaluating:
- RMSE: Root Mean Square Error, compares expected with measured data and indicates how far off an identified feature may be from the actual location. The lower the RMSE, the better the accuracy.
- 5m CE 90: This term indicates 90% confidence that a given feature is within a 5-meter radius of where indicated on the image.
Refresh Frequency
How current does your data need to be? Some aerial services ensure their libraries are updated at least annually; however, rural areas (if offered) may be several years old. On the other hand, satellites are constantly collecting data, making up-to-date satellite imagery fairly easy to come by. Also, if you want to deviate from the data libraries, you can certainly work with providers to get more customized data.
Coverage
Is your project located in a large urban area or a secluded rural township? If your site is outside of a major metro area, you may have limited options for aerial data. Of course, if you’re looking at a remote site or a location across the world, satellite imagery has got you covered.
Ground Clarity
Before selecting a product, take note of when the aerial imagery was collected. Factors like cloud and leaf cover can affect image quality by obscuring features on the ground. Look for imagery collected during clear days with optional flying conditions and in a season that works for your project. Sometimes you’ll need the most current capture, but older imagery showing leaf-on or leaf-off conditions can also provide fresh perspectives.
Where can AEC firms find off-the-shelf geospatial data?
Off-the-shelf aerial imagery has been around for a while, but its popularity is growing as AEC firms look to expand their footprints and find more efficient ways to understand current site conditions across the nation and around the globe. Aerial and satellite imagery and LiDAR technologies continue to improve, and in addition to their standard online libraries, more companies are offering customized specs and services to clients to meet their needs for image quality and capture frequency.
When in-house data collection isn’t an option, or you just need a quick-turnaround deliverable, consider grabbing some on-demand data from one of the many companies with aerial imagery or LiDAR online portfolios. AirWorks currently partners with some of the best off-the-shelf geospatial data providers in the industry. By partnering with these companies, we are able to provide data on demand to every client, eliminating the need for on-the-ground data collection if the project allows it. With our data marketplace API integrations, you are able to select your preferred data vendor, the area you would like to extract features from and sumit the project for processing, all in AirWorks Automate and without needing to purchase a subscription from another vendor. Visit our Partnerships page to learn more about our current data marketplace partners.
Below you can explore your options in on-demand aerial and satellite geospatial data:
(Note: Many of these providers offer multiple product solutions that include imagery options such as orthomosaic, oblique, 3D, multispectral, and more. This list focuses on the product solutions that provide off-the-shelf aerial imagery and point cloud data currently best suited for AEC use cases in AirWorks as of December 2022. Contact providers directly for the most up-to-date information.)
Nearmap Vertical
If you’re looking for high-resolution, frequently updated orthomosaic aerial imagery in major urban areas, look no further than Nearmap Vertical. Nearmap’s fleet captures sub-3 inch GSD imagery in 1,740 urban and regional areas across the US one to three times per year.
Pros:
- Some of the highest-resolution off-the-shelf imagery on the market
- Coverage areas consistently captured 1-3 times per year
- US coverage limited to urban areas
Data collection method and type | Manned aircraft aerial imagery |
Ground Sampling Distance (GSD) | 2.2-3 inch (5.6-7.6 cm) |
Positional accuracy | RMSEr = 7.8 inches (20 cm) (abs. horiz.) |
Refresh frequency | 1-3 captures per year |
Coverage |
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Nearmap is currently part of AirWorks’ Data Marketplace. You can learn more about the partnership and how you can place orders in AirWorks Automate™ with Nearmap imagery here.
EagleView Reveal
With sub 3.3 GSD, Eagleview Reveal advertises 4x more detail than standard aerial imagery. Eagleview Reveal’s coverage is impressive, touting 1 billion images in both urban and rural areas, covering 98% of the US population.
Pros:
- Very good resolution at 3.3 inch or better
- Option for 6 inch GSD for large areas where maximum detail isn’t required
- Widespread urban and rural coverage in the US
- Coverage refresh frequency could vary up to several years depending on location
Data collection method and type | Manned aircraft aerial imagery |
Ground Sampling Distance (GSD) |
≤ 3.3 in. (8.4 cm) (property level) ≤ 6 in. (15 cm) (neighborhood level) |
Positional accuracy |
Property level: RMSExy = 6 in. (15 cm) Neighborhood level: RMSExy = 12 in. (30 cm) |
Refresh frequency | Varies by location |
Coverage |
|
Vexcel Data Program
Vexcel is an industry leader in aerial camera systems and photogrammetry software. With the Vexcel Data Program, the company is leveraging their state-of-the-art UltraCam equipment and UltraMap photogrammetry software to capture and create a portfolio of aerial data from around the globe. With aerial imagery in 26+ countries plus widespread urban and rural capture in the US.
Pros:
- High-quality sub-3 inch GSD in urban areas
- Wide coverage, including 99% of the US population and 26 countries
- Established reputation in aerial imagery technology and processing software
- Annual capture for urban areas, but less frequent collection in rural areas
Data collection method and type | Manned aircraft aerial imagery |
Ground Sampling Distance (GSD) |
≤ 2.9 in. (7.5 cm) (urban) ≤ 2.9-7.9 in. (7.5-20 cm) (gen. US) |
Positional accuracy |
2-pixel standard deviation |
Refresh frequency | Annually for urban US, regular cadence for rural |
Coverage |
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HxGN Content Program Aerial Imagery
With Hexagon, you get an imagery database covering the entire US. A big player in statewide imagery initiatives, Hexagon’s HxGN Content Program works with each state to meet their individual spec needs for resolution, revisit rates, and seasonal captures (leaf-on, leaf-off). Hexagon’s rigorous data processing provides some of the most accurate and clear deliverables in the industry.
Pros:
- Thorough QC means high positional accuracy with minimal artifacts and distortions
- Full US coverage in data library
- Off-the-shelf data in current library may be several years old, depending on location
- Relatively low GSD for US coverage compared to other aerial imagery providers
Data collection method and type | Manned aircraft aerial imagery (LiDAR for Metro HD program only) |
Ground Sampling Distance (GSD) |
5.9 - 11.8 in (15 -30 cm) US nationwide 4.9 - 11.8 in (12.5 -30 cm) Europe 1.9 in (5 cm) in select urban areas through Metro HD city program |
Positional accuracy |
Urban (6 inches or 15 cm)
Wide area (12 inches or 30 cm)
|
Refresh frequency | Several years |
Coverage |
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Nearspace Labs
Conscious of your carbon footprint? Nearspace Labs gathers data via a zero-emission weather balloon equipped with Swifty, their high-altitude image capture robot. With Nearspace Labs, you can get competitive quality aerial imagery without negative environmental impacts caused by aircraft or satellites.
Pros:
- Carbon-free option for aerial imagery collection
- Quarterly refresh rates
- Competitive GSD, but not the highest resolution imagery on the market
Data collection method and type | Weather balloon aerial imagery |
Ground Sampling Distance (GSD) |
3.9 in (10 cm) per pixel |
Positional accuracy |
5 m CE90 |
Refresh frequency | Quarterly |
Coverage | Contact provider directly for more up-to-date information |
VeriDaaS Data Library
VeriDaaS is one of the few data vendors that provide high-quality LiDAR data. They advertise exclusive use of L3 Harris Geiger LiDAR sensors that have unmatched accuracy and point cloud density for large area coverage. For now, the VeriDaaS data library is relatively limited, with coverage only in select areas where they have completed projects. Still, their repository is constantly growing as they complete new projects across the US.
Pros:
- High quality, large area LiDAR data
- Unlike aerial imagery, Lidar can penetrate vegetation and foliage, giving a true ground surface elevation
- Limited coverage areas in off-the-shelf data library
- LiDAR only, no aerial imagery (verify project requirements prior to selecting)
Data collection method and type | Manned aircraft L3 Harris Geiger-mode LiDAR |
Ground Sampling Distance (GSD) |
2-100 ppsm 30 ppsm standard for data library Calibrated and classified datasets |
Positional accuracy |
2-100 ppsm 30 ppsm standard for data library Calibrated and classified datasets |
Refresh frequency | Added to library on a project by project basis |
Coverage | Most of New York state, western North Carolina, select metros including LA, Chicago, Austin, and Phoenix |
Maxar Basemaps
If your project doesn’t demand a significant level of detail, high-resolution satellite imagery could be a valid option. As a high-performance satellite manufacturer, Maxar leverages its own interstellar fleet to collect imagery from around the globe. For large areas, work with their standard, annually updated Vivid Imagery Basemap, or get a customized, current Dynamic Imagery Basemap with updates per your schedule.
Pros:
- Global coverage
- Customizable refresh frequency (quarterly, semi-annually, annually)
- Potentially not as detailed as manned aircraft imagery collected at lower elevations
Data collection method and type | Satellite imagery |
Ground Sampling Distance (GSD) |
11.8 in (30 cm) native resolution with advanced processing |
Positional accuracy |
5 m CE90 |
Refresh frequency |
|
Coverage |
Global, customizable |
Planet Select Basemaps
Planet leverages the world’s largest commercial fleet of satellites to provide clients with customizable Planet Select Basemaps based on their SkySat imagery. Clients have complete control over the area of interest (AOI), refresh rate, and final deliverable parameters.
Pros:
- Global coverage
- One of the most customizable refresh frequencies, offering quarterly down to bi-weekly
- Lowest resolution of reviewed products
Data collection method and type | Satellite imagery |
Ground Sampling Distance (GSD) |
Current SkySat satellites: 23 inch (0.58 m) spatial resolution |
Positional accuracy |
< 10 m RMSE |
Refresh frequency | Quarterly, monthly, weekly, or bi-weekly |
Coverage |
Global, customizable |
Up42
A subsidiary of Airbus, Up42 is unique in that its data library offers a mix of high-resolution satellite, aerial, drone, and IoT data, as well as processing algorithms. By providing a marketplace of data, Up42 is a one-stop-shop that can help you find the geospatial data that fits your need.
Pros:
- Global coverage
- Wide variety of geospatial data available on one platform (satellite, aerial, drone, etc.)
- Mostly satellite data, resolution likely not lower than 11.8 in (30 cm)
Data collection method and type | Satellite imagery |
Ground Sampling Distance (GSD) |
Various (likely 11.8 in. or 30 cm and up) |
Positional accuracy |
Varies |
Refresh frequency | Varies |
Coverage |
Global, customizable |
So, you've chosen a data vendor, what's next?
When it comes to surveying and mapping, in-house data collection isn’t always feasible or efficient. Whether you’re looking to break into new industries and geographic markets or simply seeking solutions for overbooked field crews and no-fly zones, the off-the-shelf geospatial data marketplace is ready to help. Download or stream GIS data from providers’ sites, or link directly to our growing list of Data Partners through our specially designed in-app APIs.
Maximize your productivity in early-stage design or GIS applications by leveraging AirWorks as a one-stop shop for aerial imagery or geospatial data and corresponding linework or shape files created by our patented AI feature extraction algorithms.