Map of Rapid City, SD area 2023 4-inch orthophoto tile index in South Dakota State Plane NAD83 2011 USFeet (WKID 6574).Reference grid map of available aerial photography that is available for download for Rapid City, SD Metropolitan Planning Organization (MPO) region (April 2023).

Open Data source for places and boundaries for Pennington County, SD region.

Open Data source for places and boundaries for Pennington County, SD region.

Event summary map for the June 28, 2020, Rapid City, MB tornado. Ground survey conducted June 29, 2020. Map includes ground photos, drone photos, worst damage points, and tornado centreline.

Open Data source for environment data for Pennington County, SD.

This reference contains the imagery data used in the completion of the baseline vegetation inventory project for the NPS park unit. Orthophotos, raw imagery, and scanned aerial photos are common files held here. The SCPN acquired new aerial photography of MEVE through the U.S. Department of Agriculture’s Aerial Photography Field Offi ce (APFO). APFO subcontractor Foto Flight Geomatics, of Tucson, Arizona, acquired the imagery on July 10, 2003, and July 2, 2004. Because of dry and excessively windy conditions during 2003, they did not complete the flights until 2004. The imagery was taken in true color, at a scale of 1:12,000, with 20–40% sidelap and 50–60% overlap. The APFO provided two sets of 9 × 9-in contact prints to the SCPN. The FORT and RMGSC mapping team used the images for reference during polygon delineation and labeling. At project completion, one set of contact prints will reside at MEVE and one at the SCPN. Figure 3.1.2.1 shows the fl ight lines and photo centers. The U.S. Bureau of Reclamation’s Remote Sensing and GIS Group assisted the SCPN in obtaining DOQQ images through a contract with Horizons Inc., Rapid City, South Dakota. True-color DOQQs at 1:12,000-scale were acquired on September 15, 2003.

This data set was developed to provide a current map of the Pennington County boundary for general use within the Pennington County - Rapid City GIS. View-only copy for use on the Pennington County Public Safety Hub.

Traffic Geographic Information System Market Outlook

In 2023, the global Traffic Geographic Information System (GIS) market size was valued at approximately USD 3.2 billion, and it is projected to reach around USD 6.8 billion by 2032, growing at a Compound Annual Growth Rate (CAGR) of 8.5% over the forecast period. Key growth factors propelling this market include the increasing need for real-time traffic data, advancements in navigation technologies, and the rising adoption of smart city infrastructure.

The growth of the Traffic GIS market is driven by the escalating demand for efficient traffic management systems. With the rapid urbanization and swelling population in cities, there is a pressing need to manage traffic congestion and enhance road safety. Governments and urban planners are increasingly relying on GIS technologies to analyze traffic patterns, predict congestion, and implement solutions that can ease traffic flows. Furthermore, the integration of GIS with Internet of Things (IoT) devices provides real-time data that helps in making informed decisions, thereby significantly improving the efficiency of traffic management systems.

Another critical factor contributing to the market's growth is the widespread adoption of advanced navigation systems. Modern vehicles are increasingly equipped with sophisticated navigation tools that utilize GIS to provide real-time maps, traffic updates, and route optimization. This trend is particularly prominent in the automotive industry, where there is a continuous push towards enhancing driver experience and safety. The integration of GIS with advanced driver-assistance systems (ADAS) and autonomous vehicles is likely to further boost the demand for Traffic GIS solutions.

The ongoing advancements in smart city projects globally also play a significant role in driving the Traffic GIS market. Smart city initiatives focus on leveraging technology to improve urban living conditions, which includes efficient traffic management, better public transportation systems, and enhanced road safety measures. GIS technology serves as the backbone for many smart city applications by providing vital geospatial data that aids in planning and operational decision-making. As more cities worldwide embark on smart city projects, the demand for Traffic GIS solutions is expected to rise substantially.

From a regional perspective, North America is one of the key markets for Traffic GIS, owing to the early adoption of advanced technologies and significant investments in intelligent transportation systems. Europe follows closely, driven by stringent government regulations aimed at reducing traffic congestion and improving road safety. The Asia Pacific region is anticipated to witness the highest growth rate over the forecast period, fueled by rapid urbanization, increasing investments in smart city projects, and growing awareness about the benefits of GIS technology in traffic management.

Component Analysis

The Traffic Geographic Information System market is segmented by component into software, hardware, and services. The software segment includes various applications and platforms used for traffic data analysis, mapping, and visualization. It represents the largest share of the market due to the increasing need for sophisticated tools to manage and interpret vast amounts of traffic data. GIS software solutions are essential for creating real-time traffic maps, analyzing traffic patterns, and generating predictive models that help in efficient traffic management. With the continuous advancements in software capabilities, such as the integration of Artificial Intelligence (AI) and Machine Learning (ML), the demand for GIS software is expected to grow significantly.

The hardware segment encompasses the physical devices required for collecting, storing, and processing traffic data. This includes GPS devices, sensors, servers, and other infrastructure components. The hardware segment is critical as it provides the necessary infrastructure to support the software applications and services. The increasing deployment of IoT devices in traffic management systems is driving the demand for hardware components. For instance, smart traffic lights, vehicle detection sensors, and surveillance cameras rely on robust hardware to function effectively. As cities continue to modernize their traffic infrastructure, the hardware segment is poised to see substantial growth.

The services segment includes consulting, implementation, and maintenance services related to Traffic GIS. As the adoption of GIS technology expand

Open Source data for National Flood Hazard Layer (NFHL) for Pennington County, SD region.

Additional photos collected via drone for the June 28, 2020, Rapid City, MB tornado. Ground survey conducted June 29, 2020. Drone collected 63 photos. View event map here

High Accuracy Map Market Outlook

The global high accuracy map market size was valued at approximately USD 2.4 billion in 2023 and is projected to reach around USD 12.5 billion by 2032, growing at a compound annual growth rate (CAGR) of 20.5% from 2024 to 2032. This impressive growth is primarily driven by advancements in autonomous vehicle technology and increasing demand for precise geospatial data across various sectors. The rapid urbanization and increased investment in smart city projects worldwide are also significant factors contributing to market growth.

One of the primary growth factors fueling the high accuracy map market is the burgeoning development of autonomous vehicles. As the automotive industry continues to innovate, the need for high precision maps that provide detailed and real-time data on road conditions, traffic, and obstacles becomes more crucial. High accuracy maps enable autonomous vehicles to navigate safely and efficiently, reducing the likelihood of accidents and improving overall transportation systems. This demand is anticipated to surge further as governments and corporations strive to deploy autonomous vehicle fleets for both personal and commercial use.

Another significant driver of market growth is the increasing implementation of high accuracy maps in infrastructure development and urban planning. As cities expand and develop, the need for accurate and detailed geographic information systems (GIS) becomes essential for efficient planning and management. High accuracy maps provide critical data for designing and maintaining roads, bridges, utilities, and other infrastructure projects. The integration of high precision mapping technology in smart city initiatives further accelerates the adoption of these systems, enabling better resource management and enhanced quality of life for urban populations.

The agricultural sector is also contributing to the expanding high accuracy map market. Precision agriculture relies heavily on accurate geospatial data to optimize farming practices, enhance crop yields, and ensure sustainable resource use. High accuracy maps enable farmers to monitor field conditions, assess soil health, and implement targeted interventions, leading to increased productivity and reduced environmental impact. As the global demand for food continues to rise, the adoption of advanced mapping technologies in agriculture is expected to grow, driving further market expansion.

Regionally, North America holds a significant share of the high accuracy map market, driven by technological advancements and substantial investments in autonomous vehicle research and development. The presence of leading technology companies and a robust infrastructure network further facilitate market growth in this region. However, Asia Pacific is anticipated to witness the highest growth rate during the forecast period, fueled by rapid urbanization, increasing smart city projects, and rising adoption of advanced mapping technologies across various industries. Europe also remains a key player in the market, supported by strong governmental initiatives and a focus on sustainable development.

Component Analysis

The high accuracy map market can be segmented by component into software, hardware, and services. The software segment, encompassing map creation, data processing, and visualization tools, plays a critical role in the market. The demand for sophisticated mapping software is driven by the need for real-time data processing and the integration of multiple data sources to create comprehensive and precise maps. Companies are continually developing advanced software solutions that leverage artificial intelligence and machine learning to enhance the accuracy and functionality of high precision maps.

The hardware segment includes various devices and sensors used in capturing geospatial data, such as GPS units, LiDAR sensors, and high-resolution cameras. As the demand for high accuracy maps grows, the need for advanced hardware capable of capturing detailed and precise data also increases. Innovations in sensor technology and the development of more compact and cost-effective devices are contributing to the growth of this segment. The hardware segment is crucial for the initial data collection phase, which lays the foundation for accurate map creation.

Services encompass a wide range of offerings, including consulting, system integrati

View-only copy of current road closures due to unplanned events in Pennington County, SD. Data is featured in the PennCo Public Safety Hub.

Perimeters of active prescribed burns and wildfires. Directly hosted from the NIFC Open Data Site. https://data-nifc.opendata.arcgis.com/. Layer is featured in the PennCo Public Safety Hub.

View-only copy of the features edited by Emergency Management staff appearing on the Public Safety Hub site.

This feature represents the cooperate limits of the City of Grand Rapids

Orthos2021

City of Grand Rapids Ward Boundaries

Dataset showing all on street and city lot parking spaces as defined by current parking restrictions and ordinances throughout the City of Grand Rapids service jurisdiction.

Precinct Boundaries for the City of Grand Rapids. Boundaries were set in 2012.

Estimated boundaries for City of Grand Rapids Neighborhoods. Please note that some neighborhoods have very defined limits whereas others are more of a sense of space based on community identification. We welcome feedback on this data from our community members to help better identify neighborhoods in line with our community member's views.