Government

VeriDaaS has designed its VeriMAP™ National LiDAR Program to go hand-in-hand with government needs. The VeriMAP program is creating a uniform library of 30 points per square meter LiDAR point cloud data across the United States. Because our Geiger-Mode data can be processed to create point cloud data at customer-specified densities, the same raw data can be utilized to create point clouds that satisfy USGS 3DEP QL1 standards or nearly any requirements of other government agencies. VeriMAP exceeds USGS base LiDAR Specifications and meets all known government requirements for airborne LiDAR collection. VeriDaaS just completed a 5,000 mi2 project around Phoenix, AZ for USGS based on these principals and will prioritize its data collection for your community or agency.

The VeriMAP DaaS business model enables VeriDaaS to collect this high-density data but provide it to government customers at prices that are extremely competitive. Through our Public-Private Partnerships, VeriDaaS can process its data such that lower-density versions can be released into the public domain while higher-density (30ppsm or greater) data can be reserved to support a broad range of industry users in markets from Automotive to 5G network deployment. By doing this, VeriDaaS is able to offer low entry prices to USGS, state, county, and other local governments, allowing them to avoid the onerous task of bringing together collations prior to data collection. VeriDaaS is also able to make its high-density data available to organizations for internal use at prices well below prevailing market rates for such extraordinarily high-quality data.

Smart Cities

Today, 55% of the world’s population lives in urban areas. This is expected to increase to 68% by 2050, according to the UN Department of Economic and Social Affairs. In response, municipal governments around the world are racing to make cities smarter. Most are turning to new technologies like 5G networks, Artificial Intelligence and the Internet of Things to enhance the quality, performance and interactivity of urban infrastructure and services. To make effective use of these new technologies, accurate, high-quality geospatial data is essential.

Urban Planning

Cities are systems of tremendous and ever-changing complexity. Increasing levels of urbanization place great strain on government resources. Accurate, comprehensive and high-quality geospatial data is critical in evaluating urban development, infrastructure expansion and resource use. Such data gives urban planners the ability to better understand the current and future needs of a city, to balance competing priorities, and to solve complicated problems such as optimizing the placement of new buildings or determining the feasibility of new infrastructure.

Flood Vulnerability Modeling

Flooding causes loss to life and property or damage to infrastructure, including transportation, utility and communication systems. Flood vulnerability modeling plays a critical role in flood risk assessment, operational response, and resilience planning. Accurate, high-quality geospatial data is critical to the predictive accuracy of flood vulnerability models.

In addition to the superior quality and price competitiveness of its available datasets, VeriDaaS offers a Data-as-a-Service model to help municipalities cope with the immense size of datasets and also potentially to spread out payments to meet annual budget cycles. Whatever your municipality’s data needs, VeriDaaS has solutions. Contact us to find out when we will be collecting data in your area.

Forestry Management

A significant challenge in forestry management is the difficulty of obtaining large-area forest structure characteristics at useful resolutions and accuracies. Accurate, high-quality LiDAR data enables the assessment of the vertical structure and density of forests at high spatial resolutions. This allows government to better understand complex forest structures and generate accurate forest inventory. Such LiDAR data can also be used to develop forest fire behavior models. They also provide information critical to understanding a forest’s ecology and the habitats within a forest. Subcanopy topography, canopy height, basal area, canopy cover, and biomass can all be derived from LiDAR data.

In 2006, Washington D.C.’s Urban Forestry Administration (UFA) used LiDAR data to expand its management of street tree maintenance and tree permitting to include oversight of trees in other public spaces, producing a map detailing their individual heights and crown widths.

Example Imagery

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