Impervious cover comprises of all built-up surfaces that cannot absorb rainfall like roads, houses, sidewalks, airports, parking lots, and other paved areas. Having accurate and updated data on the built-up surfaces is critical for understanding and modeling the effects of increasing urbanization on the environment. The new high-resolution US Impervious Map will help in:
- Calculating stormwater runoff volume, modeling water quality and flood risk at local and regional scales
- Improving our understanding of urban heat islands
- Assessing non-point source pollution and downstream water quality
- Assessing stream bank stability and streambed sedimentation
- Improving the mapping of urban and rural populations across the US
The US Impervious Map maintains extremely high accuracy (95%) while mapping impervious surfaces at 900 times the resolution of existing datasets that are available nationwide. By continually refining it's AI algorithms and applying them to newer imagery each year, EarthDefine will maintain a 'live' map of impervious surfaces in the U.S.
"Historically, high-resolution impervious cover data has been cost-prohibitive to create across large geographical areas like entire states, due to the massive volume of variable imagery and Lidar data that needed to be accurately classified," said EarthDefine CEO, Vikalpa Jetly. "Only a couple of states made multi-year investments to accurately map their impervious surfaces. And many of these datasets are quite old and no longer reflect the current impervious cover." EarthDefine has effectively leveraged advancements in AI and cloud-based computing to successfully overcome these challenges.
"With the availability of our off-the-shelf impervious cover data, we hope to expand access to high-quality impervious cover data for local communities across the US." Jetly continues, "We are also working with a partner to build a Data as a Service (DaaS) offering that will enable users to easily visualize and analyze the US Impervious Map data aggregated at the neighborhood, block, or parcel levels, on-demand, for any community within the country."
EarthDefine also released the US Parking Lots dataset – using AI to map over 5.7 million parking spaces across the U.S. This dataset maps all large parking lots as polygons that can then be contextualized using addressed building footprints for enhanced location intelligence. The parking lots dataset provides location information useful for multiple applications like finding locations to expand Electric Vehicle (EV) infrastructure, ride-sharing hubs, real estate development, public health outreach, etc. EarthDefine plans to continue mapping other high-resolution ground cover categories and release additional nationwide data layers covering the US in 2021.
For more information, please contact Vikalpa Jetly at firstname.lastname@example.org or 1.800.579.5916.
EarthDefine is focused on transforming earth sensor data into consumable geospatial information products for numerous applications in the private and government sectors. We deploy image processing workflows that exploit advancements in computer vision and artificial intelligence (AI) to extract ground cover information from aerial imagery and other sensor data. To learn more please visit: www.earthdefine.com
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|Company Name: EarthDefine