The data included in the GIS Traffic Stations Version database have been collected by the FHWA from the State DOTs. Location referencing information was derived from State offices of Transportation The attributes on the point elements of the database are used by FHWA for its Travel Monitoring and Analysis System and by State DOTs. The attributes for these databases have been intentionally limited to location referencing attributes since the core station description attribute data are contained within the Station Description Tables (SDT). here is a separate Station Description Table (SDT) for each of the station types. The attributes in the Station Description Table correspond with the Station Description Record found in Chapter 6 of the latest Traffic Monitoring Guide. The SDT contains the most recent stations available for each state and station type. This table was derived from files provided UTCTR by FHWA. The Station Description Table can be linked to the station shapefile via the STNNKEY field. Some station where not located in the US, and were beyond available geographic extents causing display problems. These were moved to Lat and Long 0,0. This is in recognition that the locations of these stations where in error, but were moved to a less obtrusive area.Metadata

The ArcGIS Monitor Excel report task summarizes statistics for a specified time range (eg. last 7 days). The user can edit the config.json parameters to determine what timeframe, report path, and modules (tabs) to be included. Long-running reports over 7 days are best scheduled as a task and may avoid web time-out conditions in some environments.For more information on configuring the extension, see the PDF included in the download.

Water Quality Monitoring Site identifies locations across the state of Vermont where water quality data has been collected, including habitat, chemistry, fish and/or macroinvertebrates. Currently the layer is not maintained as site locations are provided through another means to the ANR Natural Resources Atlas.

This service contains the locations for the City of Dallas air quality monitoring stations. This service is joined with the service: Air Monitoring Station Hourly Readings. to create a new hosted view that will present the latest station readings.

Progress photo that was taken of an air quality monitor. Photo was taken by the Office of Environmental Quality & Sustainability.

These shapefiles were created while sampling lakes in 2019. Files include: 1) amphibians and invertebrates- these files includes points collected when invertebrate sampling was done, or when an amphibian was detected, 2) waterbody boundaries are polylines that were created by walking lake perimeters and noting habitat associated with lines.

Traffic Stations. The dataset contains locations and attributes of Permanent Count stations and Weigh In Motion stations, created as part of the District of Columbia, Department of Transportation (DDOT) Street Spatial Database (SSD). A database provided by the District of Columbia, Department of Transportation identified Permanent Count stations.

Hourly air quality data provided for various dashboards based on hourly averages of qualified raw values from the various air quality censors.The table shown below includes the common names for each of the stations as well as the pod and serial numbers assigned by the manufacturer.
Dallas Station Name Pod Number Pod Serial Number

Larry Johnson Recreation Center Monitor 2977 2450952

Mill Creek Batch Plant Monitor 2978 2450953

South Central Park (Joppa Neighborhood) Monitor 2979 2450954

West Dallas Multipurpose Center Monitor 2983 2450958

Polk Recreation Center Monitor 3020 2450995

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.

Utility layer maintained by the City of Salem Public Works Technical Services Team. Features are updated weekly though a Python script from SDE for viewing only in Salem Maps Online. This layer has been filtered (for security) and symbolized in ArcGIS Pro, and has custom popups created from the feature layer's Visualization tab. For unfiltered and data, reference the Internal Data Utilities layers in the SalemPW account.

This dashboard monitors the latest earthquake events around the world. It automatically updates when new events come in to show you where they occurred, how significant they were, and if any there were any resulting tsunamis. The real-time earthquake data, provided by the Living Atlas, was used to create a web map that was then used in this dashboard.To learn about the creation of this dashboard, read the blog: Making an Auto-Focusing Real-Time Dashboard. Feel free to make a copy and see how it is configured.

NOTE: This dataset is an older dataset that we have removed from the SGID and 'shelved' in ArcGIS Online. There may (or may not) be a newer vintage of this dataset in the SGID.This data set represents lake water qality monitoring sites based on the generation of points from latitude, longitude coordinates furnished by the Utah Department of Environmental Quality, Division of Water Quality (DWQ).

NOTE: An updated Introduction to ArcGIS GeoEvent Server Tutorial is available here. It is recommended you use the new tutorial for getting started with GeoEvent Server. The old Introduction Tutorial available on this page is relevant for 10.8.x and earlier and will not be updated.The Introduction to GeoEvent Server Tutorial (10.8.x and earlier) introduces you to the Real-Time Visualization and Analytic capabilities of ArcGIS GeoEvent Server. GeoEvent Server allows you to:

Incorporate real-time data feeds in your existing GIS data and IT infrastructure. Perform continuous processing and analysis on streaming data, as it is received. Produce new streams of data that can be leveraged across the ArcGIS system.

Once you have completed the exercises in this tutorial you should be able to:

Use ArcGIS GeoEvent Manager to monitor and perform administrative tasks. Create and maintain GeoEvent Service elements such as inputs, outputs, and processors. Use GeoEvent Simulator to simulate event data into GeoEvent Server. Configure GeoEvent Services to append and update features in a published feature service. Work with processors and filters to enhance and direct GeoEvents from event data.

The knowledge gained from this tutorial will prepare you for other GeoEvent Server tutorials available in the ArcGIS GeoEvent Server Gallery.

Releases

Each release contains a tutorial compatible with the version of GeoEvent Server listed. The release of the component you deploy does not have to match your version of ArcGIS GeoEvent Server, so long as the release of the component is compatible with the version of GeoEvent Server you are using. For example, if the release contains a tutorial for version 10.6; this tutorial is compatible with ArcGIS GeoEvent Server 10.6 and later. Each release contains a Release History document with a compatibility table that illustrates which versions of ArcGIS GeoEvent Server the component is compatible with.

NOTE: The release strategy for ArcGIS GeoEvent Server components delivered in the ArcGIS GeoEvent Server Gallery has been updated. Going forward, a new release will only be created when

  a component has an issue,
  is being enhanced with new capabilities,
  or is not compatible with newer versions of ArcGIS GeoEvent Server.

This strategy makes upgrades of these custom
components easier since you will not have to
upgrade them for every version of ArcGIS GeoEvent Server
unless there is a new release of
the component. The documentation for the
latest release has been
updated and includes instructions for updating
your configuration to align with this strategy.

Latest

Release 7 - March 30, 2018 - Compatible with ArcGIS GeoEvent Server 10.6 and later.

Previous

Release 6 - January 12, 2018 - Compatible with ArcGIS GeoEvent Server 10.5 thru 10.8.

Release 5 - July 30, 2016 - Compatible with ArcGIS GeoEvent Server 10.4 thru 10.8.

Release 4 - July 30, 2015 - Compatible with ArcGIS GeoEvent Server 10.3.x.

Release 3 - April 24, 2015 - Compatible with ArcGIS GeoEvent Server 10.3.x. Not available.

Release 2 - January 22, 2015 - Compatible with ArcGIS GeoEvent Server 10.3.x. Not available.

Release 1 - April 11, 2014 - Compatible with ArcGIS GeoEvent Server 10.2.x.

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

This dataset contains data used to test the protocol for high-resolution mapping and monitoring of recreational impacts in protected natural areas (PNAs) using unmanned aerial vehicle (UAV) surveys, Structure-from-Motion (SfM) data processing and geographic information systems (GIS) analysis to derive spatially coherent information about trail conditions (Tomczyk et al., 2023). Dataset includes the following folders:

Cocora_raster_data (~3GB) and Vinicunca_raster_data (~32GB) - a very high-resolution (cm-scale) dataset derived from UAV-generated images. Data covers selected recreational trails in Colombia (Valle de Cocora) and Peru (Vinicunca). UAV-captured images were processed using the structure-from-motion approach in Agisoft Metashape software. Data are available as GeoTIFF files in the UTM projected coordinate system (UTM 18N for Colombia, UTM 19S for Peru). Individual files are named as follows [location]_[year]_[product]_[raster cell size].tif, where:

[location] is the place of data collection (e.g., Cocora, Vinicucna)

[year] is the year of data collection (e.g., 2023)

[product] is the tape of files: DEM = digital elevation model; ortho = orthomosaic; hs = hillshade

[raster cell size] is the dimension of individual raster cell in mm (e.g., 15mm)

Cocora_vector_data. and Vinicunca_vector_data – mapping of trail tread and conditions in GIS environment (ArcPro). Data are available as shp files. Data are in the UTM projected coordinate system (UTM 18N for Colombia, UTM 19S for Peru).

Structure-from-motio n processing was performed in Agisoft Metashape (https://www.agisoft.com/, Agisoft, 2023). Mapping was performed in ArcGIS Pro (https://www.esri.com/en-us/arcgis/about-arcgis/overview, Esri, 2022). Data can be used in any GIS software, including commercial (e.g. ArcGIS) or open source (e.g. QGIS).

Tomczyk, A. M., Ewertowski, M. W., Creany, N., Monz, C. A., & Ancin-Murguzur, F. J. (2023). The application of unmanned aerial vehicle (UAV) surveys and GIS to the analysis and monitoring of recreational trail conditions. International Journal of Applied Earth Observations and Geoinformation, 103474. doi: https://doi.org/10.1016/j.jag.2023.103474

At the US Centers for Disease Control and Prevention (CDC), a new effort is under way to assist states in creating or enhancing localized COVID-19 dashboards and maps for the public. This effort with states has an external focus, aiming to help the them deliver data to residents, civic leaders, and public health administrators. Armed with this information, states and localities will be better equipped to monitor the impacts and mitigate risks, and federal resources can go where they are needed most, because everyone will be working from the same data._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. The Water quantity in Canadian rivers indicators provide information about the state of the amount of surface water in Canada and its change through time to support water resource management. They are used to provide information about the state and trends in water quantity in Canada. Information is provided to Canadians in a number of formats including: static and interactive maps, charts and graphs, HTML and CSV data tables and downloadable reports. See the supplementary documentation for the data sources and details on how the data were collected and how the indicator was calculated. See Local Water quantity in Canadian rivers - Water quantity at monitoring stations, Canada for more information on data formats, interactive indicator map, web services, and contact information.

For further information about air quality monitoring - see the City of York Council website

The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (including wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico from the beginning of the Landsat Thematic Mapper archive to the present. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer is a vector polygon shapefile of the location of all currently inventoried fires occurring between calendar year 1984 and the current MTBS release for CONUS, Alaska, Hawaii and Puerto Rico. Please visit https://mtbs.gov/announcements to determine the current release. Fires omitted from this mapped inventory are those where suitable satellite imagery was not available or fires were not discernable from available imagery.

DS2804_20190204