You have been assigned a new project, which you have researched, and you have identified the data that you need.The next step is to gather, organize, and potentially create the data that you need for your project analysis.In this course, you will learn how to gather and organize data using ArcGIS Pro. You will also create a file geodatabase where you will store the data that you import and create.After completing this course, you will be able to perform the following tasks:Create a geodatabase in ArcGIS Pro.Create feature classes in ArcGIS Pro by exporting and importing data.Create a new, empty feature class in ArcGIS Pro.

In this course, you will learn about some common types of data used for GIS mapping and analysis, and practice adding data to a file geodatabase to support a planned project.Goals Create a file geodatabase. Add data to a file geodatabase. Create an empty geodatabase feature class.

The purpose of this document is to show you steps to configure a WMS Layer from Geoplatform (Geonode) within ArcMap.

As you might have already heard, after 20+ years of serving the GIS community ArcMap is finally retiring.The desktop role of the ArcGIS system is being replaced by ArcGIS Pro, which is more integrated with other ArcGIS solutions like ArcGIS Online, The Living Atlas, fieldwork and web applications.

Esri ArcGIS Mission for Defense Market Outlook

According to our latest research, the global Esri ArcGIS Mission for Defense market size in 2024 stands at USD 2.14 billion, with a robust CAGR of 10.2% projected through the forecast period. By 2033, the market is expected to reach USD 5.1 billion as per our CAGR calculations. This growth is primarily driven by the escalating demand for advanced geospatial intelligence and real-time situational awareness solutions in defense and security operations worldwide. The increasing complexity of modern warfare, coupled with the integration of digital transformation strategies within defense sectors, is fueling significant investments in cutting-edge mission management platforms such as Esri ArcGIS Mission. As per our latest research, the market’s upward trajectory is further supported by the growing emphasis on interoperability, data-driven decision-making, and the need for seamless collaboration among defense forces and allied agencies.

A key growth factor for the Esri ArcGIS Mission for Defense market is the rapid evolution of modern warfare tactics and the proliferation of asymmetric threats. Defense agencies are increasingly prioritizing real-time geospatial intelligence and mission planning capabilities to respond effectively to dynamic and unpredictable operational environments. The integration of Esri ArcGIS Mission enables defense forces to visualize, analyze, and share mission-critical data, thereby enhancing situational awareness and operational agility. Furthermore, the adoption of artificial intelligence and machine learning within geospatial platforms is empowering defense organizations to automate threat detection, optimize resource allocation, and streamline mission execution, thereby driving the adoption of advanced GIS solutions at a global scale.

Another significant driver is the expanding role of multi-domain operations (MDO) and the need for cross-agency collaboration in defense missions. The Esri ArcGIS Mission platform is uniquely positioned to facilitate real-time collaboration among diverse defense units, including the army, navy, air force, and homeland security agencies. By providing a unified operational picture, the platform enhances inter-agency coordination and supports joint mission planning, execution, and debriefing. The increasing frequency of multinational exercises and coalition operations further underscores the importance of interoperable mission management solutions that can seamlessly integrate data from disparate sources and deliver actionable intelligence to commanders in the field.

The ongoing digital transformation initiatives within defense ministries and intelligence agencies are also propelling market expansion. Governments worldwide are investing heavily in upgrading their command, control, communications, computers, intelligence, surveillance, and reconnaissance (C4ISR) infrastructure, with a focus on leveraging geospatial analytics for strategic advantage. Esri ArcGIS Mission’s ability to ingest, process, and visualize vast volumes of geospatial data in real time is proving indispensable for defense agencies seeking to enhance operational efficiency, reduce response times, and mitigate risks. Additionally, the growing adoption of cloud-based deployment models is enabling defense organizations to scale their mission management capabilities rapidly, improve data accessibility, and ensure business continuity during critical operations.

Regionally, North America continues to dominate the Esri ArcGIS Mission for Defense market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The United States, in particular, is a major contributor to market growth, driven by substantial defense budgets, advanced technological infrastructure, and the presence of leading GIS solution providers. Europe is witnessing steady adoption of mission management platforms, supported by collaborative defense initiatives and modernization programs across NATO member states. Meanwhile, Asia Pacific is emerging as a high-growth region, fueled by rising geopolitical tensions, increased defense spending, and a growing focus on indigenous technology development in countries such as China, India, and Japan.

IntroductionIRWIN ArcGIS Online GeoPlatform Services The Integrated Reporting of Wildland-Fire Information (IRWIN) Production data is replicated every 60 seconds to the ArcGIS Online GeoPlatform organization so that read-only views can be provided for consumers. This replicated view is called the hosted datastore. The “IRWIN Data” group is a set of Feature Layer views based on the replicated IRWIN layers. These feature layers provide a near real-time feed of all valid IRWIN data. All incidents that have been shared through the integration service since May 20, 2014 are available through this service. The incident data provides the location of existing fires, size, conditions and several other attributes that help classify fires. The IRWIN Data service allows users to create a web map, share it with their organization, or pull it into ArcMap or ArcGIS Pro for more in-depth analysis.InstructionsTo allow the emergency management GIS staff to join the IRWIN Data group, they will need to set up an ArcGIS Online account through our account manager. Please send the response to Samantha Gibbes (Samantha.C.Gibbes@saic.com) and Kayloni Ahtong (kayloni_ahtong@ios.doi.gov). Use the below template and fill in each part as best as possible, where the point of contact (POC) is the person responsible for the account.Reply Email Body: The (name of application) application requests the following user account and access to the IRWIN Data group.POC Name: First name Last name and titlePOC Email: Username: <>_irwin (choose a username, something short, followed by _irwin)Business Justification: Once you are set up with the account, I will coordinate a call to go over any questions.

Esri ArcGIS Mission for Defense Market Outlook

According to our latest research, the global Esri ArcGIS Mission for Defense market size in 2024 stands at USD 2.85 billion, with a robust compound annual growth rate (CAGR) of 13.2% projected through the forecast period. By 2033, the market is expected to reach USD 8.14 billion, driven by escalating geopolitical tensions, the increasing adoption of real-time geospatial intelligence, and the need for advanced situational awareness in defense operations. The market’s upward trajectory is underpinned by the rapid digital transformation within the defense sector, where mission-critical decisions increasingly rely on accurate, real-time geospatial data and collaborative tools.

The primary growth driver for the Esri ArcGIS Mission for Defense market is the surging demand for integrated situational awareness solutions. Defense organizations worldwide are investing heavily in technologies that enable real-time data collection, analysis, and dissemination across multiple domains. The ability to visualize, analyze, and share geospatial data in mission-critical environments is transforming how military operations are planned and executed. As asymmetric warfare and hybrid threats become more prevalent, defense agencies are compelled to leverage advanced GIS platforms like Esri ArcGIS Mission to enhance operational effectiveness, reduce response times, and improve mission outcomes. This trend is further amplified by the integration of AI and machine learning, which enables predictive analytics and automated threat detection within the ArcGIS ecosystem.

Another significant factor fueling market growth is the increasing emphasis on interoperability and collaboration across defense forces. Modern military operations often require seamless coordination among diverse units and allied forces, making unified geospatial platforms indispensable. Esri ArcGIS Mission facilitates real-time collaboration, enabling distributed teams to access, update, and act upon shared geospatial intelligence. This capability not only supports joint operations but also enhances the agility and adaptability of defense organizations in rapidly evolving scenarios. As defense budgets prioritize digital modernization, investments in robust geospatial solutions are expected to accelerate, further propelling the market forward.

The growing prevalence of cloud-based deployments is also a critical catalyst for market expansion. Cloud platforms offer unparalleled scalability, flexibility, and cost-efficiency, making them ideal for defense agencies seeking to modernize their IT infrastructure without incurring prohibitive capital expenditures. Esri’s cloud-enabled ArcGIS Mission allows for secure, centralized data management and on-demand access to geospatial intelligence, even in remote or contested environments. As more defense organizations transition to cloud-first strategies, the demand for cloud-native GIS solutions is poised to surge, unlocking new growth opportunities for the market.

From a regional perspective, North America dominates the Esri ArcGIS Mission for Defense market, accounting for over 38% of global revenue in 2024. The region’s leadership is attributed to substantial defense budgets, early technology adoption, and the presence of key market players such as Esri Inc. Europe and Asia Pacific are also witnessing rapid growth, fueled by rising security concerns, increased defense spending, and government initiatives to modernize military capabilities. The Middle East & Africa and Latin America, while smaller in market share, are expected to demonstrate above-average growth rates, driven by ongoing security challenges and the need for advanced situational awareness tools.

Component Analysis

The Component segment of the Esri ArcGIS Mission for Defense market is bifurcated into Software and Services. Software represents the core of the market, encompassing a suite of GIS applications, mission management tools, and real-time analytics platforms. The demand for advanced software solutions is propelled by the need for intuitive user interfaces, robust data visualization, and seamless integration with existing defense IT infrastructure. Esri’s software offerings are renowned for their scalability and ability to support complex mission planning, situational awareness, and geospatial intelligence tasks. As defense a

This resource was created by Esri Canada Education and Research. To browse our full collection of higher-education learning resources, please visit https://hed.esri.ca/resourcefinder/.This tutorial introduces you to using Python code in a Jupyter Notebook, an open source web application that enables you to create and share documents that contain rich text, equations and multimedia, alongside executable code and visualization of analysis outputs. The tutorial begins by stepping through the basics of setting up and being productive with Python notebooks. You will be introduced to ArcGIS Notebooks, which are Python Notebooks that are well-integrated within the ArcGIS platform. Finally, you will be guided through a series of ArcGIS Notebooks that illustrate how to create compelling notebooks for data science that integrate your own Python scripts using the ArcGIS API for Python and ArcPy in combination with thousands of open source Python libraries to enhance your analysis and visualization.To download the dataset Labs, click the Open button to the top right. This will automatically download a ZIP file containing all files and data required.You can also clone the tutorial documents and datasets for this GitHub repo: https://github.com/highered-esricanada/arcgis-notebooks-tutorial.git.Software & Solutions Used: Required: This tutorial was last tested on August 27th, 2024, using ArcGIS Pro 3.3. If you're using a different version of ArcGIS Pro, you may encounter different functionality and results.Recommended: ArcGIS Online subscription account with permissions to use advanced Notebooks and GeoEnrichmentOptional: Notebook Server for ArcGIS Enterprise 11.3+Time to Complete: 2 h (excludes processing time)File Size: 196 MBDate Created: January 2022Last Updated: August 27, 2024

In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Offshore of Point Conception map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samplesdigital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Offshore of Point Conception map area data layers. Data layers are symbolized as shown on the associated map sheets.

Esri’s Sentinel-2 Explorer is a powerful tool for exploring satellite imagery, supporting our mission to make remote sensing accessible to all. Within the Explorer, you can select specific dates, apply different renderings, create animations, and dive into spectral analysis and change detection. But what if you wanted to go further—creating your own renderings, overlaying custom data, or integrating additional datasets? This is where bringing Sentinel-2 imagery into ArcGIS Online comes in, offering the same user-friendly interface but with greater control and enhanced analysis capabilities.In this StoryMap, we’ll show just how easy it is to bring imagery from Sentinel-2 Explorer into ArcGIS Online and explore the many possibilities of imagery analysis. Want to use Landsat or Sentinel-1 data instead? No problem—this guide also works with Esri’s Landsat Explorer and Sentinel-1 Explorer, giving you even more flexibility for your remote sensing projects.

Esri Site Scan for ArcGIS Market Outlook

According to our latest research, the Global Esri Site Scan for ArcGIS market size was valued at $1.2 billion in 2024 and is projected to reach $4.8 billion by 2033, expanding at a CAGR of 16.7% during the forecast period of 2025 to 2033. The major factor fueling this robust growth is the increasing adoption of drone-based geospatial solutions across industries such as construction, utilities, and environmental monitoring. Organizations are leveraging Esri Site Scan for ArcGIS to streamline data collection, enhance mapping accuracy, and enable real-time decision-making, which is driving market expansion globally. As digital transformation accelerates and the demand for high-resolution aerial imagery rises, Esri’s cloud-native platform is positioned as a critical tool for enterprises seeking to modernize asset management and operational workflows.

Regional Outlook

North America currently dominates the Esri Site Scan for ArcGIS market, accounting for nearly 42% of the global share in 2024. This leadership position is attributed to the region’s mature geospatial technology ecosystem, widespread adoption of advanced drone mapping solutions, and strong regulatory frameworks supporting UAV operations. The United States, in particular, has seen significant investments from both public and private sectors in aerial mapping, disaster response, and infrastructure monitoring. The presence of major Esri partners and a large base of enterprise users further cements North America’s position as the largest regional market. Additionally, robust R&D initiatives, favorable government policies, and the integration of AI-driven analytics into geospatial platforms have accelerated the adoption of Esri Site Scan for ArcGIS across government, utilities, and construction sectors.

Asia Pacific is projected to be the fastest-growing region, with a forecasted CAGR of 20.4% from 2025 to 2033. The rapid pace of urbanization, massive infrastructure development projects, and increasing awareness about the benefits of drone-based geospatial solutions are driving adoption across China, India, Japan, and Southeast Asian countries. Governments in the region are investing heavily in smart city initiatives and disaster management systems, where Esri Site Scan for ArcGIS plays a crucial role in real-time data acquisition and analysis. Strategic partnerships between global geospatial technology providers and local enterprises, coupled with a surge in venture capital funding for drone startups, are further catalyzing market growth in Asia Pacific. The region’s young, tech-savvy workforce and supportive policy reforms are expected to sustain this momentum over the coming decade.

Emerging economies in Latin America and the Middle East & Africa are witnessing gradual but steady adoption of Esri Site Scan for ArcGIS, though several challenges persist. Limited access to advanced UAV hardware, inconsistent regulatory frameworks, and lower levels of digital literacy can hinder widespread deployment. However, localized demand for solutions in agriculture, mining, and environmental monitoring is rising, driven by the need to optimize resource management and enhance disaster preparedness. Governments and NGOs are increasingly recognizing the value of geospatial intelligence for sustainable development, leading to pilot projects and public-private partnerships in these regions. Despite infrastructural and policy-related barriers, the long-term outlook remains positive as digital transformation efforts gain traction and international technology providers invest in capacity-building initiatives.

Report Scope

Esri ArcGIS Mission for Defense Market Outlook

According to our latest research, the Global Esri ArcGIS Mission for Defense market size was valued at $1.42 billion in 2024 and is projected to reach $3.96 billion by 2033, expanding at a robust CAGR of 12.1% during the forecast period of 2025–2033. The primary driver behind this impressive growth trajectory is the increasing need for advanced geospatial intelligence and real-time situational awareness within defense operations worldwide. As modern military engagements become more complex and technology-driven, defense agencies are prioritizing integrated GIS solutions like Esri ArcGIS Mission to enhance mission planning, execution, and collaboration across armed forces and homeland security sectors.

Regional Outlook

North America commands the largest share of the global Esri ArcGIS Mission for Defense market, accounting for over 38% of the total market value in 2024. This dominance stems from the region’s mature defense technology ecosystem, substantial government investments in military modernization, and the early adoption of advanced GIS platforms by the United States Department of Defense. The presence of leading technology vendors, robust research and development infrastructure, and favorable policy frameworks further accelerate the deployment of Esri ArcGIS Mission solutions across the US and Canada. Additionally, ongoing initiatives to enhance interoperability and real-time data sharing among allied forces continue to reinforce North America’s leadership in the market.

The Asia Pacific region is poised to be the fastest-growing market, projected to register a remarkable CAGR of 15.4% from 2025 to 2033. This rapid growth is fueled by escalating defense budgets, rising geopolitical tensions, and the increasing adoption of digital transformation strategies by militaries in countries such as China, India, South Korea, and Japan. Governments across Asia Pacific are investing heavily in upgrading their command, control, communications, computers, intelligence, surveillance, and reconnaissance (C4ISR) capabilities, thereby driving demand for sophisticated GIS-based mission management tools. Furthermore, local partnerships, technology transfer initiatives, and the expansion of regional defense manufacturing hubs are catalyzing the uptake of Esri ArcGIS Mission solutions in this part of the world.

Emerging economies in Latin America, the Middle East, and Africa are experiencing a gradual yet steady rise in the adoption of Esri ArcGIS Mission for Defense. However, these regions face unique challenges such as limited defense budgets, complex procurement processes, and a shortage of skilled GIS professionals. Despite these obstacles, localized demand is growing due to increased focus on border security, counter-terrorism operations, and disaster response management. Policy reforms, international defense collaborations, and targeted capacity-building programs are expected to gradually improve market penetration, though adoption rates are likely to remain moderate compared to North America and Asia Pacific over the forecast period.

Report Scope

SafeGraph is just a data company. That's all we do.SafeGraph Places for ArcGIS is a subset of SafeGraph Places. SafeGraph Places is a points-of-interest (POI) dataset with business listing, building footprint, visitor insights, & foot-traffic data for every place people spend money in the U.S.The complete SafeGraph Places dataset has ~ 5.4 million points-of-interest in the USA and is updated monthly (to reflect store openings & closings).Here, for free on this listing, SafeGraph offers a subset of attributes from SafeGraph Places: POI business listing information and POI locations (building centroids).Columns in this dataset:safegraph_place_idparent_safegraph_place_idlocation_namesafegraph_brand_idsbrandstop_categorystreet_addresscitystatezip_codeNAICS codeGeometry Point data. Latitude and longitude of building centroid.For data definitions and complete documentation visit SafeGraph Developer and Data Scientist Docs.For statistics on the dataset, see SafeGraph Places Summary Statistics.Data is available as a hosted Feature Service to easily integrate with all ESRI products in the ArcGIS ecosystem.Want More? Want this POI data for use outside of ArcGIS Online? Want POI data for Canada? Want POI building footprints (Geometry)?Want more detailed category information (Core Places)?Want phone numbers or operating hours (Core Places)?Want POI visitor insights & foot-traffic data (Places Patterns)?To see more, preview & download all SafeGraph Places, Patterns, & Geometry data from SafeGraph’s Data Bar.Or drop us a line! Your data needs are our data delights. Contact: support-esri@safegraph.comView Terms of Use

The size of the Italy Geospatial Analytics market was valued at USD XXX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 8.17% during the forecast period. Recent developments include: March 2023: The Italian space agency and NASA have collaborated to build and launch the Multi-Angle Imager for Aerosols mission, an effort to investigate the health impacts of tiny airborne particles polluting the cities through analyzing data by collecting data from the satellite-based observatories, which would fuel the demand for geospatial analytics market in the country., January 2023: EDB, an open-source database service provider in Italy, announced its partnership with Esri to certify EDB Postgres Advanced Server with Esri ArcGIS Pro and Esri ArcGIS Enterprise, which work together to form Esri's Geospatial analytic solutions, operating in many countries, including Italy. After this partnership, users can connect their EDB Postgres Advanced Server to explore, visualize and analyze their geospatial data and share their work with an Esri ArcGIS Enterprise portal. In addition, EDB customers, especially those in the public sector, can use their database with Esri ArcGIS software to transform their data into something that improves workflows and processes and shapes policies and engagement within their communities.. Key drivers for this market are: Increase in the number of Smart Cities in The Country, The Implementation of analytics Software in the Country's Public Transportation. Potential restraints include: High Costs and Operational Concerns, Lack of Standardization for Data Integration. Notable trends are: The Increase in the Number of Smart Cities in The Country Fuels the Market Growth.

Depicts the area of activities funded through the NFRR Budget Line Item and reported through the FACTS database. (The activities fall under number of acres treated annually to sustain or restore watershed function: acres of forestlands treated using timber sales, acres of forestland vegetation improved, acres of forestland vegetation established, acres of rangeland vegetation improved, acres treated for noxious weeds/invasive plants on NFS lands, and acres of hazardous fuels treated outside the wildland/urban interface (WUI) to reduce the risk of catastrophic wildland fire) and are self-reported by Forest Service Units. Metadata

This file contains the digital vector boundaries for Integrated Care Boards, in England, as at April 2023.The boundaries available are: (BFE) Full resolution - extent of the realm (usually this is the Mean Low Water mark but in some cases boundaries extend beyond this to include off shore islands).Contains both Ordnance Survey and ONS Intellectual Property Rights.REST URL of Feature Access Service –https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Integrated_Care_Boards_April_2023_EN_BFE/FeatureServerREST URL of WFS Server –https://dservices1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/services/Integrated_Care_Boards_April_2023_EN_BFE/WFSServer?service=wfs&request=getcapabilitiesREST URL of Map Server –https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Integrated_Care_Boards_April_2023_EN_BFE/MapServer

Issued permits for discharges of pollution to waters of the state, including groundwater. Included within each permit are database search results of documents associated with the permit ID. For more details: https://cdphe.colorado.gov/water-quality-permits

In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Point Conception to Hueneme Canyon map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samplesdigital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Point Conception to Hueneme Canyon map area data layers. Data layers are symbolized as shown on the associated map sheets.

Depicts the area of activities funded through the NFRR Budget Line Item and reported through the FACTS database. (The activities fall under number of acres treated annually to sustain or restore watershed function: acres of forestlands treated using timber sales, acres of forestland vegetation improved, acres of forestland vegetation established, acres of rangeland vegetation improved, acres treated for noxious weeds/invasive plants on NFS lands, and acres of hazardous fuels treated outside the wildland/urban interface (WUI) to reduce the risk of catastrophic wildland fire) and are self-reported by Forest Service Units. Metadata

In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Offshore of Ventura map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samplesdigital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Offshore of Ventura map area data layers. Data layers are symbolized as shown on the associated map sheets.