The map is to be used to view the location of underground as constructed assets on the Gold Coast. This information is provided to assist in field investigations. Spot checks have been made to determine the accuracy of this plan. However, all locations, dimensions and depths shown are to be confirmed on site. Disclaimer: © Council of the City of Gold Coast, Queensland or © State of Queensland. No Warranty given in relation to the data (including accuracy, reliability, completeness or suitability) and no liability accepted (including without limitation, liability in negligence) for any loss, damage or costs (including consequential damage) relating to any use of the data. Data must not be used for direct marketing or be used in breach of the privacy laws.

Damper Labeling and GIS Mapping Market Outlook

According to our latest research, the Global Damper Labeling and GIS Mapping market size was valued at $1.2 billion in 2024 and is projected to reach $2.7 billion by 2033, expanding at a robust CAGR of 9.1% during the forecast period of 2025–2033. The primary driver behind this substantial growth is the increasing integration of advanced building automation and fire safety systems across commercial, industrial, and government infrastructures worldwide. This trend is further bolstered by stringent regulatory mandates for safety compliance, and the growing adoption of smart technologies that require precise asset mapping and real-time damper status monitoring. As organizations prioritize operational efficiency and safety, the demand for comprehensive damper labeling and GIS mapping solutions is anticipated to surge, underpinning the market’s positive outlook.

Regional Outlook

North America currently commands the largest share of the Damper Labeling and GIS Mapping market, accounting for approximately 38% of the global revenue in 2024. This dominance can be attributed to the region’s mature infrastructure landscape, early adoption of building automation technologies, and a highly regulated environment that enforces strict safety and compliance standards. The United States, in particular, leads the market due to significant investments in smart buildings and infrastructure modernization, alongside active involvement of key industry players and technology innovators. Moreover, the prevalence of large-scale commercial and industrial facilities in North America necessitates advanced damper labeling and GIS mapping solutions for effective asset management and regulatory adherence, further cementing the region’s leadership position.

In contrast, the Asia Pacific region is poised to be the fastest-growing market, projected to expand at a remarkable CAGR of 12.6% from 2025 to 2033. This rapid growth is fueled by accelerated urbanization, burgeoning construction activities, and substantial government investments in smart city initiatives across countries such as China, India, and Southeast Asian nations. The increasing adoption of cloud-based GIS mapping solutions and advanced damper labeling technologies is also being driven by a heightened focus on fire safety and building automation in both new and retrofitted structures. Additionally, the influx of foreign direct investment and the presence of a young, tech-savvy workforce are catalyzing market expansion, making Asia Pacific a hotspot for innovation and adoption in this sector.

Emerging economies in Latin America and the Middle East & Africa are gradually recognizing the importance of damper labeling and GIS mapping, particularly as they strive to enhance infrastructure resilience and safety standards. However, these regions face unique challenges such as limited technical expertise, budgetary constraints, and fragmented regulatory frameworks, which can impede widespread adoption. Despite these hurdles, localized demand is rising, especially in sectors like oil and gas, mining, and government infrastructure, where asset tracking and safety compliance are critical. With targeted policy reforms and international partnerships, these regions have the potential to unlock significant market opportunities over the forecast period.

Report Scope

The New Jersey Department of Community Affairs' "New Jersey Community Asset Map" is an interactive mapping tool that allows users to view community assets, amenities, and special designations throughout New Jersey. It also contains relevant economic, housing, and demographic information for each municipality. It is intended to help users gain a better understanding of the characteristics and amenities of New Jersey’s 564 municipalities and to identify appropriate types of investment and development to spur economic revitalization.

Critical Asset Mapping Solutions Market Outlook

According to our latest research, the global Critical Asset Mapping Solutions market size reached USD 4.2 billion in 2024, demonstrating robust demand across multiple sectors. The market is projected to expand at a CAGR of 13.7% from 2025 to 2033, reaching a forecasted value of USD 13.1 billion by 2033. This impressive growth trajectory is primarily driven by the increasing need for real-time asset visibility, risk mitigation, and compliance requirements across industries such as energy, utilities, transportation, and government sectors.

Several key growth factors are propelling the adoption of Critical Asset Mapping Solutions worldwide. First, the proliferation of connected assets and the rise of the Industrial Internet of Things (IIoT) have made it imperative for organizations to accurately map, monitor, and manage critical infrastructure in real time. As operational landscapes become more complex, asset-intensive industries are prioritizing the deployment of advanced mapping solutions to ensure operational continuity, minimize downtime, and safeguard against both physical and cyber threats. Furthermore, the integration of artificial intelligence and machine learning with mapping platforms is enhancing predictive maintenance capabilities, enabling organizations to preemptively address asset failures and optimize resource allocation.

Another significant driver for the Critical Asset Mapping Solutions market is the tightening regulatory landscape across regions. Governments and regulatory bodies are increasingly mandating comprehensive asset management practices, particularly in sectors such as energy, utilities, and transportation, where infrastructure reliability is vital for public safety. These mandates are compelling organizations to invest in sophisticated mapping solutions that offer granular visibility and traceability of assets, ensuring compliance with stringent standards. Additionally, the growing threat of natural disasters and man-made disruptions is pushing both public and private sector entities to adopt robust asset mapping strategies for effective disaster recovery and business continuity planning.

Technological advancements are further accelerating market growth. The integration of Geographic Information Systems (GIS), cloud computing, and advanced analytics is transforming the capabilities of Critical Asset Mapping Solutions. These innovations are enabling organizations to move beyond traditional asset tracking to a more dynamic, data-driven approach that supports real-time decision-making and strategic planning. The emergence of mobile asset mapping applications and remote sensing technologies is also expanding the scope of deployment, allowing field teams to capture and update asset data seamlessly. As a result, organizations across verticals are witnessing tangible improvements in operational efficiency, cost savings, and risk management outcomes.

Regionally, North America continues to dominate the Critical Asset Mapping Solutions market, accounting for the largest revenue share in 2024, followed by Europe and Asia Pacific. The presence of leading technology providers, high digital maturity, and significant investments in infrastructure modernization are supporting market growth in these regions. Meanwhile, emerging economies in Asia Pacific and Latin America are experiencing rapid adoption, driven by urbanization, industrial expansion, and government initiatives aimed at enhancing critical infrastructure resilience. As organizations worldwide recognize the strategic value of asset mapping, the market is expected to witness sustained growth across all major regions through 2033.

Component Analysis

The Component segment of the Critical Asset Mapping Solutions market is categorized into Software, Hardware, and Services. Software remains the cornerstone of this market, offering organizations a suite of tools for asset visualization, data integration, and workflow automation. Advanced software plat

Damper Labeling and GIS Mapping Market Outlook

According to our latest research, the global damper labeling and GIS mapping market size reached USD 1.13 billion in 2024, with a robust growth trajectory driven by the increasing integration of digital solutions in building management and infrastructure development. The market is currently expanding at a CAGR of 8.2% and is forecasted to achieve a value of USD 2.22 billion by 2033. This growth is primarily attributed to the surging demand for precise asset tracking, enhanced regulatory compliance, and the adoption of advanced Geographic Information System (GIS) technologies across various industrial and commercial sectors.

One of the primary growth factors propelling the damper labeling and GIS mapping market is the intensifying focus on building automation and smart infrastructure development. As cities worldwide embrace smart building initiatives, the need for accurate damper labeling and real-time GIS mapping becomes indispensable for efficient facility management and safety compliance. Modern HVAC systems, fire safety mechanisms, and industrial ventilation systems rely heavily on precise damper identification and location tracking. This digital transformation is further supported by stringent regulatory frameworks that mandate clear asset labeling and documentation, ensuring safety and operational efficiency. The integration of IoT and AI-driven analytics within GIS mapping platforms is also enhancing operational visibility, thereby reducing maintenance costs and downtime.

Additionally, the rising adoption of cloud-based solutions is significantly influencing market dynamics. Cloud deployment offers scalability, remote accessibility, and seamless data sharing, which are crucial for large-scale commercial and industrial projects. Organizations are increasingly leveraging cloud-enabled GIS mapping to centralize asset data, streamline workflows, and facilitate real-time collaboration among stakeholders. This shift is particularly valuable in multi-site operations, where centralized control and standardized labeling protocols are essential for regulatory compliance and effective risk management. As a result, service providers are investing heavily in cloud infrastructure and cybersecurity, which is expected to further accelerate market growth.

Another compelling driver for the damper labeling and GIS mapping market is the growing emphasis on fire safety and disaster preparedness. With the escalation of fire incidents in commercial and industrial facilities, regulatory bodies are enforcing stricter codes for damper identification and maintenance. GIS mapping, when integrated with advanced labeling systems, provides a comprehensive overview of damper locations, enabling swift response during emergencies. This capability is particularly critical for large-scale facilities such as hospitals, educational institutions, and manufacturing plants, where rapid evacuation and risk mitigation are paramount. Furthermore, the ongoing trend of retrofitting aging infrastructure with modern labeling and mapping solutions is opening new avenues for market expansion, as facility managers seek to enhance safety and operational transparency.

From a regional perspective, North America continues to dominate the damper labeling and GIS mapping market, owing to its early adoption of advanced building automation technologies and stringent regulatory standards. The presence of leading technology providers, coupled with significant investments in smart city projects, is fostering innovation and market penetration. In contrast, the Asia Pacific region is witnessing the fastest growth, driven by rapid urbanization, infrastructure modernization, and government-led initiatives to enhance building safety and energy efficiency. Europe, with its mature construction sector and strong focus on sustainability, is also contributing significantly to market development. Meanwhile, Latin America and the Middle East & Africa are gradually emerging as promising markets, fueled by increasing awareness of safety regulations and the adoption of digital asset management practices.

Component Analysis

The damper labeling and GIS mapping market is segmented by component into software, hardware, and services, each playing a pivotal role in the overall ecosystem. The software segment is experiencing substantial growth, driven by the increasing demand for advanced GIS platforms that offer real-time data visualization, asset tr

Equipment GIS Mapping for Facilities Market Outlook

According to our latest research, the global Equipment GIS Mapping for Facilities market size reached USD 3.1 billion in 2024, reflecting robust expansion driven by digital transformation across facility management sectors. The market is experiencing a healthy growth trajectory, with a projected CAGR of 10.7% from 2025 to 2033. By the end of 2033, the market is forecasted to attain a value of USD 7.7 billion. This significant growth is attributed to the rising need for real-time spatial intelligence, enhanced asset management, and the integration of advanced geospatial technologies within various facility types. As organizations increasingly prioritize operational efficiency and data-driven decision-making, the adoption of GIS mapping solutions for facilities is expected to accelerate across diverse end-user verticals.

The primary growth factor fueling the Equipment GIS Mapping for Facilities market is the intensifying demand for integrated asset management and space optimization across both public and private sectors. Facility managers are under mounting pressure to maximize resource utilization, reduce operational costs, and ensure regulatory compliance. GIS mapping platforms provide a comprehensive, visualized inventory of assets, infrastructure, and spatial layouts, enabling data-driven planning and real-time monitoring. The ability to overlay facility data with geographic information empowers stakeholders to proactively manage maintenance schedules, rapidly locate equipment, and streamline emergency response. As a result, industries such as healthcare, education, government, and commercial real estate are increasingly investing in GIS mapping solutions to elevate their facility management practices.

Another significant driver is the rapid technological advancements in GIS software and hardware, coupled with the proliferation of cloud-based deployment models. Modern GIS solutions now offer robust integration capabilities with IoT devices, building management systems, and enterprise resource planning platforms. This seamless interoperability allows for the aggregation and analysis of vast datasets, supporting predictive analytics and automation. The shift towards cloud deployment is particularly notable, as it reduces upfront infrastructure costs, enhances scalability, and facilitates remote access to facility data. These innovations are making GIS mapping tools more accessible and cost-effective for organizations of all sizes, further propelling market growth.

Furthermore, the growing emphasis on sustainability, security, and emergency preparedness is amplifying the adoption of GIS mapping for facilities. Organizations are leveraging GIS to monitor energy consumption, optimize space usage, and implement green building initiatives. In addition, GIS mapping supports comprehensive security and emergency planning by providing real-time visualization of facility layouts, evacuation routes, and critical infrastructure. This holistic approach to facility management not only enhances occupant safety but also aligns with broader ESG (Environmental, Social, and Governance) goals. The convergence of these trends is expected to sustain the upward momentum of the Equipment GIS Mapping for Facilities market over the forecast period.

Regionally, North America dominates the Equipment GIS Mapping for Facilities market, accounting for the largest revenue share in 2024, followed closely by Europe and Asia Pacific. The market in North America is characterized by early technology adoption, a mature facility management ecosystem, and significant investments in smart building initiatives. Europe is witnessing steady growth, driven by stringent regulatory requirements and a strong focus on sustainability. Meanwhile, Asia Pacific is emerging as a high-growth region, fueled by rapid urbanization, infrastructure development, and increasing awareness of GIS benefits. Latin America and the Middle East & Africa are also showing promising potential, albeit at a more nascent stage, as governments and enterprises gradually recognize the value of spatial intelligence in facility management.

Equipment GIS Mapping for Facilities Market Outlook

According to our latest research, the Global Equipment GIS Mapping for Facilities market size was valued at $1.6 billion in 2024 and is projected to reach $4.3 billion by 2033, expanding at a CAGR of 11.5% during 2024–2033. The primary factor fueling this robust growth is the increasing demand for advanced geospatial analytics across facility management sectors, driven by the need for real-time asset tracking, efficient resource allocation, and predictive maintenance capabilities. Organizations across industries are realizing the value of integrating Geographic Information Systems (GIS) with facility equipment mapping to optimize operational workflows, reduce downtime, and enhance decision-making. This market is also witnessing accelerated adoption due to digital transformation initiatives and the growing reliance on data-driven insights for managing complex facility infrastructures globally.

Regional Outlook

North America currently holds the largest share of the Equipment GIS Mapping for Facilities market, accounting for approximately 38% of global revenue in 2024. The region’s dominance is attributed to its mature technology landscape, widespread adoption of advanced facility management solutions, and strong presence of leading GIS software vendors. Regulatory mandates for safety, sustainability, and asset transparency in sectors such as healthcare, education, and utilities further amplify the demand for GIS mapping technologies. Additionally, substantial investments in smart building solutions and the integration of IoT with GIS platforms have positioned North America as a pioneer in this space. The region benefits from robust IT infrastructure, high digital literacy, and supportive public policies, all of which contribute to rapid market expansion and innovation.

The Asia Pacific region is expected to witness the fastest growth in the Equipment GIS Mapping for Facilities market, with a projected CAGR of 14.2% from 2024 to 2033. This growth is primarily driven by rapid urbanization, infrastructure modernization projects, and increased government focus on smart city initiatives. Countries such as China, India, Japan, and South Korea are investing heavily in digital infrastructure and public utilities, driving the adoption of GIS-based facility mapping solutions. The proliferation of cloud-based GIS platforms and mobile mapping applications is making these technologies more accessible to a broader range of end-users. Furthermore, rising awareness of the operational efficiencies and cost savings offered by GIS mapping is encouraging both public and private sector organizations to invest in these solutions, fueling robust regional growth.

Emerging economies in Latin America and the Middle East & Africa are gradually embracing Equipment GIS Mapping for Facilities, albeit at a slower pace due to infrastructural and economic constraints. Adoption in these regions is often hampered by limited access to advanced IT infrastructure, budgetary limitations, and a shortage of skilled GIS professionals. However, localized demand is increasing, particularly in sectors such as utilities, transportation, and government, where the need for efficient asset management and infrastructure planning is critical. Policy reforms, international aid, and public-private partnerships are beginning to address these challenges, creating new opportunities for market penetration. As digital transformation accelerates and awareness of GIS benefits grows, these regions are expected to contribute more significantly to the global market in the coming years.

Report Scope

Critical Asset Mapping Solutions Market Outlook

As per our latest research, the global Critical Asset Mapping Solutions market size reached USD 7.4 billion in 2024, reflecting the surging demand for advanced asset visualization and management across industries. The market is projected to expand at a robust CAGR of 12.8% during the forecast period, with the total market size forecasted to reach USD 21.7 billion by 2033. This impressive growth is primarily driven by the increasing need for real-time asset tracking, rising infrastructure investments, and the growing emphasis on risk mitigation and regulatory compliance across critical sectors.

A key growth factor propelling the Critical Asset Mapping Solutions market is the rapid digital transformation across industries such as utilities, oil & gas, transportation, and government & defense. Organizations are investing heavily in digital technologies to enhance visibility, control, and security of their physical and digital assets. The adoption of Internet of Things (IoT), Geographic Information Systems (GIS), and Artificial Intelligence (AI) has enabled real-time monitoring and advanced analytics, providing organizations with actionable insights for effective asset management. This trend is further accelerated by the increasing complexity of infrastructure networks and the need for seamless integration of legacy systems with modern mapping solutions. As a result, enterprises are prioritizing investments in critical asset mapping to improve operational efficiency, reduce downtime, and optimize resource allocation.

Another significant driver for market expansion is the rising focus on regulatory compliance and risk management. Governments and regulatory bodies across the globe are imposing stringent guidelines for asset safety, environmental protection, and disaster recovery planning. Critical asset mapping solutions play a pivotal role in enabling organizations to comply with these regulations by providing comprehensive visibility and documentation of asset locations, conditions, and maintenance histories. Furthermore, the rising incidence of natural disasters, cyber threats, and physical security breaches has heightened the importance of robust asset mapping for risk assessment and contingency planning. The integration of cloud-based platforms and mobile applications has further enhanced the accessibility and scalability of these solutions, making them indispensable for organizations of all sizes.

A third major growth factor is the increasing adoption of cloud-based deployment models and the proliferation of mobile devices. Cloud-based critical asset mapping solutions offer unparalleled scalability, flexibility, and cost-effectiveness, enabling organizations to deploy, update, and access mapping data in real time from any location. This is particularly beneficial for industries with geographically dispersed assets, such as utilities, oil & gas, and transportation. The integration of mobile applications has empowered field personnel to collect, update, and share asset information instantly, improving data accuracy and decision-making. Additionally, advancements in satellite imaging, remote sensing, and augmented reality are further expanding the capabilities of critical asset mapping solutions, driving their adoption in both developed and emerging markets.

From a regional perspective, North America currently leads the global Critical Asset Mapping Solutions market, accounting for the largest revenue share in 2024, followed closely by Europe and Asia Pacific. The strong presence of leading technology providers, high infrastructure spending, and stringent regulatory frameworks in North America have fueled rapid adoption of advanced mapping solutions. Meanwhile, Asia Pacific is expected to witness the fastest growth during the forecast period, driven by large-scale infrastructure projects, urbanization, and increasing investments in smart cities and industrial automation. Latin America and the Middle East & Africa are also witnessing steady growth, supported by government initiatives and the modernization of critical infrastructure.

Component Analysis

The Critical Asset Mapping Solutions market is segmented by component into software, hardware, and services. Software solutions form the backbone of this market, providing the core functionalities for asset visualization, data integration, analytics, and reporting. These platforms leverage advanced GIS, IoT integration, and AI-powered analytics to

Burn severity layers are thematic images depicting severity as unburned to low, low, moderate, high, and increased greenness (increased post-fire vegetation response). The layer may also have a sixth class representing a mask for clouds, shadows, large water bodies, or other features on the landscape that erroneously affect the severity classification. This data has been prepared as part of the Monitoring Trends in Burn Severity (MTBS) project. Due to the lack of comprehensive fire reporting information and quality Landsat imagery, burn severity for all targeted MTBS fires are not available. Additionally, the availability of burn severity data for fires occurring in the current and previous calendar year is variable since these data are currently in production and released on an intermittent basis by the MTBS project.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService For complete information, please visit https://data.gov.

Note: This LCMS CONUS Cause of Change image service has been deprecated. It has been replaced by the LCMS CONUS Annual Change image service, which provides updated and consolidated change data.Please refer to the new service here: https://usfs.maps.arcgis.com/home/item.html?id=085626ec50324e5e9ad6323c050ac84dThis product is part of the Landscape Change Monitoring System (LCMS) data suite. It shows LCMS change attribution classes for each year. See additional information about change in the Entity_and_Attribute_Information or Fields section below.LCMS is a remote sensing-based system for mapping and monitoring landscape change across the United States. Its objective is to develop a consistent approach using the latest technology and advancements in change detection to produce a "best available" map of landscape change. Because no algorithm performs best in all situations, LCMS uses an ensemble of models as predictors, which improves map accuracy across a range of ecosystems and change processes (Healey et al., 2018). The resulting suite of LCMS change, land cover, and land use maps offer a holistic depiction of landscape change across the United States over the past four decades.Predictor layers for the LCMS model include outputs from the LandTrendr and CCDC change detection algorithms and terrain information. These components are all accessed and processed using Google Earth Engine (Gorelick et al., 2017). To produce annual composites, the cFmask (Zhu and Woodcock, 2012), cloudScore, and TDOM (Chastain et al., 2019) cloud and cloud shadow masking methods are applied to Landsat Tier 1 and Sentinel 2a and 2b Level-1C top of atmosphere reflectance data. The annual medoid is then computed to summarize each year into a single composite. The composite time series is temporally segmented using LandTrendr (Kennedy et al., 2010; Kennedy et al., 2018; Cohen et al., 2018). All cloud and cloud shadow free values are also temporally segmented using the CCDC algorithm (Zhu and Woodcock, 2014). LandTrendr, CCDC and terrain predictors can be used as independent predictor variables in a Random Forest (Breiman, 2001) model. LandTrendr predictor variables include fitted values, pair-wise differences, segment duration, change magnitude, and slope. CCDC predictor variables include CCDC sine and cosine coefficients (first 3 harmonics), fitted values, and pairwise differences from the Julian Day of each pixel used in the annual composites and LandTrendr. Terrain predictor variables include elevation, slope, sine of aspect, cosine of aspect, and topographic position indices (Weiss, 2001) from the USGS 3D Elevation Program (3DEP) (U.S. Geological Survey, 2019). Reference data are collected using TimeSync, a web-based tool that helps analysts visualize and interpret the Landsat data record from 1984-present (Cohen et al., 2010).Outputs fall into three categories: change, land cover, and land use. Change relates specifically to vegetation cover and includes slow loss (not included for PRUSVI), fast loss (which also includes hydrologic changes such as inundation or desiccation), and gain. These values are predicted for each year of the time series and serve as the foundational products for LCMS. References: Breiman, L. (2001). Random Forests. In Machine Learning (Vol. 45, pp. 5-32). https://doi.org/10.1023/A:1010933404324Chastain, R., Housman, I., Goldstein, J., Finco, M., and Tenneson, K. (2019). Empirical cross sensor comparison of Sentinel-2A and 2B MSI, Landsat-8 OLI, and Landsat-7 ETM top of atmosphere spectral characteristics over the conterminous United States. In Remote Sensing of Environment (Vol. 221, pp. 274-285). https://doi.org/10.1016/j.rse.2018.11.012Cohen, W. B., Yang, Z., and Kennedy, R. (2010). Detecting trends in forest disturbance and recovery using yearly Landsat time series: 2. TimeSync - Tools for calibration and validation. In Remote Sensing of Environment (Vol. 114, Issue 12, pp. 2911-2924). https://doi.org/10.1016/j.rse.2010.07.010Cohen, W. B., Yang, Z., Healey, S. P., Kennedy, R. E., and Gorelick, N. (2018). A LandTrendr multispectral ensemble for forest disturbance detection. In Remote Sensing of Environment (Vol. 205, pp. 131-140). https://doi.org/10.1016/j.rse.2017.11.015Foga, S., Scaramuzza, P.L., Guo, S., Zhu, Z., Dilley, R.D., Beckmann, T., Schmidt, G.L., Dwyer, J.L., Hughes, M.J., Laue, B. (2017). Cloud detection algorithm comparison and validation for operational Landsat data products. Remote Sensing of Environment, 194, 379-390. https://doi.org/10.1016/j.rse.2017.03.026Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., and Moore, R. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone. In Remote Sensing of Environment (Vol. 202, pp. 18-27). https://doi.org/10.1016/j.rse.2017.06.031Healey, S. P., Cohen, W. B., Yang, Z., Kenneth Brewer, C., Brooks, E. B., Gorelick, N., Hernandez, A. J., Huang, C., Joseph Hughes, M., Kennedy, R. E., Loveland, T. R., Moisen, G. G., Schroeder, T. A., Stehman, S. V., Vogelmann, J. E., Woodcock, C. E., Yang, L., and Zhu, Z. (2018). Mapping forest change using stacked generalization: An ensemble approach. In Remote Sensing of Environment (Vol. 204, pp. 717-728). https://doi.org/10.1016/j.rse.2017.09.029Kennedy, R. E., Yang, Z., and Cohen, W. B. (2010). Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr - Temporal segmentation algorithms. In Remote Sensing of Environment (Vol. 114, Issue 12, pp. 2897-2910). https://doi.org/10.1016/j.rse.2010.07.008Kennedy, R., Yang, Z., Gorelick, N., Braaten, J., Cavalcante, L., Cohen, W., and Healey, S. (2018). Implementation of the LandTrendr Algorithm on Google Earth Engine. In Remote Sensing (Vol. 10, Issue 5, p. 691). https://doi.org/10.3390/rs10050691Olofsson, P., Foody, G. M., Herold, M., Stehman, S. V., Woodcock, C. E., and Wulder, M. A. (2014). Good practices for estimating area and assessing accuracy of land change. In Remote Sensing of Environment (Vol. 148, pp. 42-57). https://doi.org/10.1016/j.rse.2014.02.015Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M. and Duchesnay, E. (2011). Scikit-learn: Machine Learning in Python. In Journal of Machine Learning Research (Vol. 12, pp. 2825-2830).Pengra, B. W., Stehman, S. V., Horton, J. A., Dockter, D. J., Schroeder, T. A., Yang, Z., Cohen, W. B., Healey, S. P., and Loveland, T. R. (2020). Quality control and assessment of interpreter consistency of annual land cover reference data in an operational national monitoring program. In Remote Sensing of Environment (Vol. 238, p. 111261). https://doi.org/10.1016/j.rse.2019.111261U.S. Geological Survey. (2019). USGS 3D Elevation Program Digital Elevation Model, accessed August 2022 at https://developers.google.com/earth-engine/datasets/catalog/USGS_3DEP_10mWeiss, A.D. (2001). Topographic position and landforms analysis Poster Presentation, ESRI Users Conference, San Diego, CAZhu, Z., and Woodcock, C. E. (2012). Object-based cloud and cloud shadow detection in Landsat imagery. In Remote Sensing of Environment (Vol. 118, pp. 83-94). https://doi.org/10.1016/j.rse.2011.10.028Zhu, Z., and Woodcock, C. E. (2014). Continuous change detection and classification of land cover using all available Landsat data. In Remote Sensing of Environment (Vol. 144, pp. 152-171). https://doi.org/10.1016/j.rse.2014.01.011This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService For complete information, please visit https://data.gov.

Interactive map used for an Operations Dashboard of PARD's Assets

Stormwater GIS Asset Management Market Outlook

According to our latest research, the global stormwater GIS asset management market size reached USD 1.42 billion in 2024, reflecting the sector’s robust expansion in recent years. With a compound annual growth rate (CAGR) of 12.8% projected from 2025 to 2033, the market is expected to achieve a value of USD 4.18 billion by 2033. This surge is primarily driven by increasing urbanization, stringent regulatory mandates, and the urgent need for efficient infrastructure management across municipal and industrial sectors. As per our latest research, the market’s upward trajectory is also supported by the rapid adoption of advanced geospatial technologies and cloud-based solutions, which are transforming traditional stormwater asset management practices globally.

The primary growth factor fueling the stormwater GIS asset management market is the heightened focus on urban infrastructure modernization. Cities worldwide are experiencing rapid expansion, leading to complex stormwater systems that require sophisticated asset management solutions. Governments and municipal bodies are increasingly adopting GIS-based technologies to gain real-time visibility into their stormwater networks, streamline asset inventories, and optimize maintenance activities. The integration of IoT sensors and advanced analytics further enables predictive maintenance, reducing operational costs and minimizing the risk of flooding or environmental hazards. This trend is especially prominent in developed economies where legacy infrastructure is being upgraded to meet contemporary resilience and sustainability standards.

Another significant driver is the tightening of regulatory frameworks governing stormwater management. Environmental agencies across North America, Europe, and Asia Pacific are imposing stricter compliance requirements to mitigate the adverse impacts of urban runoff and climate change. These regulations necessitate comprehensive asset tracking, reporting, and documentation, all of which are efficiently managed through GIS-based asset management platforms. Organizations are compelled to invest in these solutions to avoid penalties and ensure adherence to evolving environmental standards. The growing emphasis on transparency and accountability in public utilities further amplifies the demand for robust stormwater GIS asset management systems.

Technological advancements in GIS, cloud computing, and data analytics are also catalyzing market growth. The proliferation of cloud-based deployment models allows organizations to access scalable, cost-effective, and interoperable asset management solutions without the need for significant upfront investments in IT infrastructure. Cloud platforms facilitate seamless data sharing, real-time collaboration, and integration with other municipal management systems, thereby enhancing operational efficiency. Additionally, the emergence of AI-driven analytics and machine learning is enabling predictive insights, empowering stakeholders to make data-driven decisions for capital planning and asset lifecycle management.

Regionally, North America continues to dominate the stormwater GIS asset management market, accounting for the largest share in 2024. The region’s leadership is attributed to substantial investments in smart city initiatives, a mature regulatory landscape, and the early adoption of cutting-edge geospatial technologies. Europe follows closely, propelled by stringent environmental directives and robust municipal infrastructure programs. Meanwhile, the Asia Pacific region is witnessing the fastest growth, driven by rapid urbanization, infrastructure development, and increasing awareness of sustainable water management practices. Latin America and the Middle East & Africa are also emerging as promising markets, albeit at a comparatively nascent stage of adoption.

Component Analysis

The component segment of the stormwater GIS asset management market is bifurcated into software and services, both of which play pivotal roles in shaping the industry’s landscape. Software solutions form the backbone of modern asset management, offering advanced geospatial mapping, real-time data visualization, and workflow automation capabilities. These platforms enable end-users to efficiently catalog assets, monitor system health, and generate actionable insights for maintenance and capital planning. The increasing sophistication of GIS software, with features such as 3D modelin

Description:MC Maps Roadway Assets is an interactive mapping application.Instructions:This is an interactive web map that allows the public to browse, print, search and navigate GIS data throughout Martin County. Download:Click here for Open Web Map

Displays the locations and attributes of owned and/or maintained SDOT transportation infrastructure assets from the Infor (Hansen) Asset Management system. Does not include buildings or mobile assets such as vehicles. This map is intended for use by SDOT staff to view and track assets.

This web app contains layers from the Asset Map

| Contact: SDOT GIS Team
| Contact Email: DOT_IT_GIS@seattle.gov

A map used in the Hazard Risk Assessment Maps app to visualize jurisdiction assets and critical infrastructure vulnerability.

Utility GIS Field Data Collection Market Outlook

As per our latest research, the global Utility GIS Field Data Collection market size in 2024 stands at USD 1.62 billion, reflecting the sector’s robust expansion driven by the digital transformation of utility infrastructure management. The market is experiencing a strong compound annual growth rate (CAGR) of 11.2% from 2025 to 2033. By 2033, the market is forecasted to reach USD 4.22 billion, underpinned by rising investments in smart grid technologies, increasing regulatory mandates for accurate geospatial data, and the growing need for efficient asset management across electric, water, gas, and telecommunication utilities.

The primary growth factor for the Utility GIS Field Data Collection market is the accelerating adoption of Geographic Information Systems (GIS) in field operations to enhance the accuracy, efficiency, and reliability of utility asset management. Utilities across the globe are increasingly leveraging advanced GIS-enabled field data collection tools to streamline processes such as asset mapping, network inspections, and maintenance scheduling. The integration of real-time data collection with cloud-based GIS platforms enables field workers to capture, update, and synchronize geospatial data instantaneously, reducing manual errors and operational downtime. This digital shift is further fueled by the proliferation of mobile devices and IoT sensors, which allow utilities to gather granular data from remote locations, supporting predictive maintenance and rapid response to outages or infrastructure issues.

Another critical driver is the mounting regulatory pressure and compliance requirements imposed by government agencies and industry bodies, particularly in regions with aging utility infrastructure. Utilities are mandated to maintain accurate, up-to-date geospatial records to ensure public safety, environmental protection, and efficient resource allocation. The deployment of GIS field data collection solutions facilitates compliance by providing comprehensive audit trails, real-time reporting, and seamless integration with enterprise asset management (EAM) systems. As governments worldwide invest in smart city initiatives and infrastructure modernization, the demand for advanced GIS capabilities in field data collection is expected to surge, creating new opportunities for software vendors, hardware providers, and service integrators.

Moreover, the growing complexity of utility networks, coupled with the increasing frequency of extreme weather events and natural disasters, necessitates robust field data collection systems for rapid damage assessment and recovery planning. GIS-based field data collection tools empower utilities to quickly map affected areas, prioritize restoration efforts, and communicate effectively with stakeholders. The ability to overlay real-time field data with historical geospatial information enhances situational awareness and supports data-driven decision-making. As utilities strive to enhance operational resilience and customer service, the adoption of advanced GIS field data collection solutions is poised to become a strategic imperative.

Regionally, North America leads the Utility GIS Field Data Collection market, accounting for over 38% of the global market share in 2024, followed by Europe and Asia Pacific. The United States and Canada are at the forefront of adoption, driven by significant investments in grid modernization and stringent regulatory frameworks. Europe is witnessing steady growth, propelled by the digital transformation of water and gas utilities and the implementation of the European Green Deal. Meanwhile, the Asia Pacific region is emerging as a high-growth market, fueled by rapid urbanization, expanding utility networks, and government-led smart infrastructure projects in countries such as China, India, and Australia. Latin America and the Middle East & Africa are also showing increasing interest in GIS field data collection solutions to address infrastructure challenges and improve service delivery.

The Asset Polygons layer shows the location of park assets by type captured as polygons shapes.  Park assets are features and/or objects found within or near a park boundary. Some assets serve as park attractions and amenities such as soccer fields and basketball courts. The layer comprises of assets that are external and not easily moved. This Asset Polygons layer pulls from individual asset layers and integrates with information in EAM to provide a comprehensive dataset. Assets will only show up in this layer if the asset source layer contains the correct GIS ID with a match in EAM. A list of these layers is below:Athletic Fields layer - contains athletic fields such as baseball, soccer, etc.Bike & Skate Parks layer - contains bike parks and skate parks.Community Gardens layer - contains community gardens.Court Pads layer - contains court pads, which are the underlying contiguous court surfaces like asphalt for a set of basketball courts or sand for a volleyball court.Courts layer - contains the various the variously sported courts spanning basketball to handball to pickleball and more.Dog Parks layer - contains dog parks.Meadows layer - contains meadows.Playgrounds layer - contains playgrounds (category = "PLAYGROUND PAD").Picnic Shelters layer - contains both permitted and non-permitted shelters.Reforestation Sites layer - contains reforestation sites. NotesIf you need assets represented as points instead, refer to the Asset Points layer, which contains these same polygon assets as points plus other every other asset.Contact the Data Analytics Section of Montgomery Parks for more information via email: dataanalytics@montgomeryparks.org. Update CycleLayer is updated every Monday and Thursday morning on an automated basis. The Analytics Team programs the Azure cloud to source data from the assorted layers representing assets that Montgomery Parks has in both its EAM & GIS systems and ArcGIS Data Pipelines pulls said data back into this layer on an automated basis. Not all asset layers are incorporated but they eventually will be. Explore the Categories and Source Layers available in the layer to discover which are currently available. BenefitsStreamline assets for GIS - A unified asset layer simplifies mapping and analysis by reducing the need to manage multiple layers. This is especially beneficial for divisions and teams frequently engaged in GIS, improving workflow efficiency and productivity.Foundational for Key Applications - The comprehensive asset layers serve as core data for various mapping applications, supporting decision-making and enhancing public engagement across multiple platforms.Integrated Data and Reduced Silos - By integrating data from multiple sources, the asset layers provide users with more comprehensive insights, minimizing the confusion of dealing with scattered data across systems. This leads to faster analysis and better decision-making.Broader Access and Flexibility - While detailed layers are maintained by specific teams, the comprehensive asset layer allows for broader access across divisions and the public. This makes asset data more readily available and usable for a wide range of stakeholders, promoting transparency and efficiency.

This feature layer contains Water and Sewer Infrastructure Location Data. Data is represented by Water Asset Points, Water Asset Lines, Sewer Asset Points and Sewer Asset Lines. Fields include Asset ID and Feature Class only. Water Assets contain: Water Hydrants, Water Maintenance Hole, Water Valves, Water Service Fittings, Water Supply Pipes. Sewer Assets contain: Sewer Fittings, Sewer Maintenance Holes, Sewer Meters, Sewer Valves, Sewer Designated Outlet, Sewer Connections, Sewer Pipe Pressure, Sewer Pipe Non Pressure. While every care is taken to ensure the accuracy of this product, Logan City Council do not make any representations or warranties about its accuracy, reliability, completeness or suitability for any particular purpose and disclaims all responsibility and all liability (including without limitation, liability in negligence) for all expenses, losses, damages (including indirect or consequential damage) and costs that may occur as a result of the product being inaccurate or incomplete in any way or for any reason.

The National Land Cover Database 2001 Percent Developed Imperviousness was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of federal agencies (www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (EPA), the U.S. Department of Agriculture - Forest Service (USDA-FS), the National Park Service (NPS), the U.S. Fish and Wildlife Service (FWS), the Bureau of Land Management (BLM) and the USDA Natural Resources Conservation Service (NRCS). One of the primary goals of the project is to generate a current, consistent, seamless, and accurate National Land Cover Database (NLCD) circa 2001 for the United States at medium spatial resolution. For a detailed definition and discussion on MRLC and the NLCD 2001 products, refer to Homer et al. (2003) and http://www.mrlc.gov/mrlc2k.asp. The NLCD 2001 was created by partitioning the U.S. into mapping zones. A total of 66 mapping zones were delineated within the conterminous U.S. based on ecoregion and geographical characteristics, edge-matching features and the size requirement of Landsat mosaics. This update represents a seamless assembly of updated NLCD 2001 Percent Developed Imperviousness for all 66 MRLC mapping zones. Questions about the NLCD 2001 Percent Developed Imperviousness 2011 Edition can be directed to the NLCD 2001 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov.

Hydrogen GIS Mapping Platform Market Outlook

According to our latest research, the global Hydrogen GIS Mapping Platform market size reached USD 1.3 billion in 2024, with a robust compound annual growth rate (CAGR) of 17.2% projected through the forecast period. By 2033, the market is anticipated to achieve a value of USD 5.2 billion, driven by escalating investments in hydrogen infrastructure and the growing adoption of geographic information systems (GIS) for efficient hydrogen value chain management. This growth is underpinned by the increasing need for real-time spatial data analytics, which is crucial for optimizing hydrogen production, storage, and distribution networks worldwide.

One of the primary growth factors for the Hydrogen GIS Mapping Platform market is the accelerating global transition towards clean energy sources, particularly green hydrogen. Governments and private sector stakeholders are investing heavily in hydrogen as a cornerstone of decarbonization strategies. The complexity of hydrogen infrastructure, which spans production sites, pipelines, storage facilities, and distribution channels, necessitates advanced mapping and spatial analytics capabilities. GIS platforms provide a comprehensive toolset for visualizing, planning, and monitoring these interconnected assets, enabling stakeholders to make data-driven decisions that enhance operational efficiency and ensure regulatory compliance. The integration of GIS mapping with IoT and AI technologies further amplifies the value proposition, offering predictive insights and automation for hydrogen infrastructure management.

Another significant driver is the increasing emphasis on safety, risk management, and environmental stewardship in hydrogen ecosystem development. Hydrogen, while a promising energy carrier, poses unique challenges related to storage, transportation, and leak detection. GIS mapping platforms enable real-time monitoring and geospatial analysis of environmental factors, asset integrity, and potential hazard zones. This capability is vital for regulatory reporting, emergency response planning, and ensuring the safe deployment of hydrogen infrastructure in urban and rural settings. As hydrogen projects scale up in size and complexity, the demand for sophisticated GIS solutions that can integrate diverse data sources and support cross-sector collaboration is expected to surge.

The hydrogen economy’s rapid globalization is also fueling the expansion of the Hydrogen GIS Mapping Platform market. Cross-border hydrogen projects, international supply chains, and multinational investments require standardized, interoperable mapping solutions. GIS platforms facilitate seamless data sharing and collaborative planning among various stakeholders, including governments, utilities, transportation operators, and industrial users. This interoperability is crucial for optimizing resource allocation, minimizing project delays, and maintaining transparency across the hydrogen value chain. The increasing adoption of cloud-based GIS platforms is making it easier for organizations of all sizes to access advanced mapping capabilities, further democratizing the use of spatial analytics in the hydrogen sector.

From a regional perspective, Europe currently leads the Hydrogen GIS Mapping Platform market, accounting for approximately 38% of global revenue in 2024, driven by ambitious hydrogen roadmaps and substantial investments in clean energy infrastructure. North America follows closely, with strong government support and a rapidly expanding network of hydrogen projects in the United States and Canada. The Asia Pacific region is emerging as a high-growth market, propelled by large-scale hydrogen initiatives in countries such as Japan, South Korea, and Australia. These regions are characterized by distinct regulatory frameworks, infrastructure maturity levels, and technology adoption rates, shaping the demand for GIS mapping solutions tailored to local needs.

Component Analysis

The Hydrogen GIS Mapping Platform market is segmented by component into software and services, each playing a pivotal role in the overall ecosystem. The software segment encompasses a wide array of GIS applications tailored to hydrogen infrastructure planning, asset management, environmental monitoring, and logistics optimization. These software solutions are increasingly leveraging cloud computing, artificial intelligence, and mac