Facebook
TwitterNational Agriculture Imagery Program (NAIP) aerial imagery with a 1-meter resolution
Facebook
TwitterThe Department of Information Technology and Telecommunications, GIS Unit, has created a series of Map Tile Services for use in public web mapping & desktop applications. The link below describes the Basemap, Labels, & Aerial Photographic map services, as well as, how to utilize them in popular JavaScript web mapping libraries and desktop GIS applications. A showcase application, NYC Then&Now (https://maps.nyc.gov/then&now/) is also included on this page.
Facebook
TwitterThis data results from the NRSC's ongoing 1:25000 UK Aerial Photography Programme; a project designed to maintain an up to date aerial coverage of the United Kingdom, covering the complete area at least every 5 years.
The Orthoview product has been generated from vertical aerial photographs. The photographs have been orthorectified (to correct for distortion towards their edges) then mosaiced to provide a seamless dataset for the UK at a 0.5 metre resolution. This allows imagery for any area of interest to be generated without issues associated with scenes falling across multiple photographs.
In addition to its prime application in photogrammetric mapping (from updating and contouring existing maps to preparing large scale engineering plans), the data is used for environmental studies, general planning, land use and land capability, soils, pollution, forestry, mining and quarrying, housing and leisure development, agriculture, geology, water, transport and civil engineering, boundary disputes, public enquiries, etc.
The data is stored in digital form and can be supplied on either Exabyte, CD-ROM or CCT. Various hard copy forms can also be generated, including posters and photographic positives/negatives. Price lists and further information are available from the National Remote Sensing Centre (NRSC).
Note: All photography is flown to RICS Specification for Aerial Photography Issue III, see references.
Facebook
TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This shapefile represents the stream centerlines generated within the Orange County High Density LiDAR analysis boundary. These lines were generated using QSI hydrology tools, and elevations were assigned to each vertex. The horizontal datum for this dataset is NAD83 with OCS 2007.00 Adjustment, the vertical datum is NAVD88 with OCS 1995.00 Adjustment, and the data is projected in California State Plane VI. Units are in US Survey Feet. Quantum Spatial collected the Orange County High Density LiDAR data for Orange County Public Works between 07/23/16 and 07/26/16. Aerial Imagery utilized was provided by Orange County Public Works, and was acquired by Eagle Aerial Solutions between June and July of 2015.
Facebook
TwitterHistorical Imagery Index
The Historical Imagery Index is a referenced footprint dateset created from digitised Key Diagrams for Aerial Imagery pre ADS product captured across NSW.
This Index supports the Historical Imagery Viewer and allows the search discovery and download of Spatial Services huge repository of digitised Historical Aerial Photography.
This index is periodically updated as new photo centers are digitised from the HAP collections Key Diagrams
HAP (Historical Aerial Photography)
The collection has been acquired over a number of years from 1930 through to 2005. The imagery was originally captured using a variety of cameras including the Wild RC-5, RC-10 and Leica RC-30 cameras with a variety of lenses with focal lengths of 88mm, 153mm and 304mm. Images were captured in monochrome or colour during this period at a range of scales ranging from 1:10 000 to 1:80 000.
Images have been digitised from either the aerial film negatives or hard copy prints up 2000dpi resolution depending on the scanned medium.
These are standard 600dpi unprocessed frames as JPG’s
The HAP collection has been digitised from either the aerial film negatives or hard copy prints up 2000dpi resolution depending on the scanned medium.
Current state: This collection exists as un-projected aerial imagery files.
Metadata
Content Title | Historical Image Index |
Content Type | Hosted Feature Layer |
Description | An index of un-projected Historical aerial Image tiles |
Initial Publication Date | 19/10/2021 |
Data Currency | 24/04/2025 |
Data Update Frequency | <p |
Facebook
TwitterThis content (feature layer) provides the geographic boundaries for all public parks located within the City of Tempe.The data was collected by digitizing park boundaries using aerial imagery as reference from ArcMap. The parks feature class has no different types. There are two specific attributes created for the parks feature class; name and address.
Facebook
TwitterRepresents the outer land boundary of Los Angeles County. Land boundaries are derived from the Los Angeles County Cadastral landbase. Ocean boundaries are derived from NOAA coastline data, modified to conform with LAR-IAC aerial imagery where needed. The most current copy of this data is available at the Los Angeles County GIS Data Portal.The principal attribute is BDRY_TYPE. Values include 'Coast', Land City', 'Land County', 'Pier', 'Breakwater', 'Water', and 'Ocean'.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
A basemap image service that displays the best openly available (latest and highest spatial resolution) authoritative general reference imagery datasets captured by remotely piloted aircraft systems (drones), piloted aircraft, and satellite space craft over areas of Queensland. This basemap service is designed to provide access to the latest publicly available State Remotely Sensed Image Library collection of aerial imagery capture under the Spatial Imagery Services Program (SISP). Aerial imagery that is three years or older captured under SISP is made available for public use openly by the Department of Resources, Queensland. Satellite imagery (Planet Q3 2017 mosaic) is visible in areas over Queensland where aerial photography is unavailable. Basemap services comprise a single layer of static imagery optimised for display purposes. This service has a tile cache built down to a scale of 1:1129. The tile cache can be turned off in client software for viewing at lower scales and printing purposes, and can be used in dynamic mode to filter and display individual project areas. The projects range from 2cm to 240cm resolution. Accuracy is dependent on the individual projects. Periodical updates will be made to the service as new projects are captured. Projects are visible at scales 1:50,000, 1:250,000 and 1:25000000. The images comprised in each of the projects are orthorectified which removes the effects of image perspective (tilt) and relief (terrain) effects for the purpose of creating a planimetrically correct image. The resultant orthorectified images have a constant scale wherein features are represented in their 'true' positions. If you would like to receive updates for new projects, functionality or planned downtime please subscribe here: http://ems.gs/3qln0iYbIYQ.
Facebook
Twitter
According to our latest research, the global Imagery Tasking Services market size reached USD 4.27 billion in 2024, demonstrating robust demand across both public and private sectors. The market is projected to exhibit a CAGR of 9.8% from 2025 to 2033, with the total market value anticipated to reach USD 9.97 billion by 2033. This impressive growth trajectory is primarily fueled by the increasing need for real-time, high-resolution geospatial data, driven by advancements in satellite, aerial, and UAV/drone technologies, as well as expanding applications across industries such as defense, urban planning, agriculture, and disaster management.
A significant growth factor for the Imagery Tasking Services market is the surging demand for timely and customized geospatial intelligence. With the proliferation of sophisticated satellite constellations, high-altitude aircraft, and agile UAV platforms, organizations can now access near real-time imagery tailored to specific operational requirements. This capability is particularly crucial for defense and intelligence agencies that require up-to-date situational awareness in rapidly evolving scenarios, as well as for commercial entities seeking to optimize logistics, infrastructure management, and resource allocation. Additionally, the convergence of artificial intelligence and advanced analytics with imagery tasking services is enabling automated image processing and actionable insights, further enhancing the value proposition for end-users.
Another key driver propelling market expansion is the growing recognition of imagery tasking services as a critical tool for environmental monitoring and disaster management. Governments and NGOs are increasingly leveraging high-resolution imagery to assess environmental changes, monitor deforestation, track natural disasters, and coordinate emergency response efforts. The integration of multi-source imagery, including satellite, aerial, and UAV data, allows for comprehensive monitoring of large and remote areas, enabling timely interventions and informed policy decisions. Furthermore, the rise of climate change concerns and the frequency of natural disasters are compelling both public and private sector stakeholders to invest in advanced imagery solutions for risk mitigation and resilience planning.
The rapid urbanization and infrastructure development in emerging economies are also contributing to the robust growth of the Imagery Tasking Services market. Urban planners, construction firms, and local governments are increasingly utilizing imagery tasking services for land use analysis, city expansion planning, and real-time monitoring of construction projects. The ability to task satellites or drones for specific time windows and locations enables precise mapping, progress tracking, and compliance verification. As smart city initiatives and digital twin technologies gain traction, the demand for accurate, up-to-date geospatial data is expected to surge, further bolstering the market’s growth prospects.
Regionally, North America remains the largest market for imagery tasking services, accounting for a substantial share of global revenues, followed closely by Europe and Asia Pacific. The presence of leading space agencies, defense contractors, and technology innovators in the United States and Canada underpins North America’s dominance. Meanwhile, Asia Pacific is poised for the fastest growth, driven by significant investments in satellite infrastructure, expanding commercial applications, and increasing government adoption across China, India, Japan, and Southeast Asia. Europe continues to exhibit steady demand, supported by strong regulatory frameworks and cross-border collaborations in geospatial intelligence.
The Service Type segment of the Imagery Tasking Services market is categorized into Satellite Imagery Tasking, Aerial Imagery Tasking, and UAV/Drone Imagery Tasking. Among these, <b&g
Facebook
TwitterRoad segments representing centerlines of all roadways or carriageways in a local government. Typically, this information is compiled from orthoimagery or other aerial photography sources. This representation of the road centerlines support address geocoding and mapping. It also serves as a source for public works and other agencies that are responsible for the active management of the road network.
Facebook
TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Road segments representing centerlines of all roadways or carriageways in a local government. Typically, this information is compiled from orthoimagery or other aerial photography sources. This representation of the road centerlines support address geocoding and mapping. It also serves as a source for public works and other agencies that are responsible for the active management of the road network.
Facebook
TwitterThe shape and orientation of the ground floor of all structures in a local government. This information is typically compiled from orthoimagery or other aerial photography sources. This representation of the building footprints support the local government basemaps. It also serves as a source for public works, public safety, planning and other agencies that are responsible for the active management of site addresses, facilities, and land use information.
Facebook
TwitterThe Energy, Mines and Resources (EMR) Library owns over 100,000 aerial photographs of the Yukon. You can photocopy or scan (600x600 dpi) aerial photographs in the library. If you wish to scan aerial photos, please bring a new, unformatted USB flash drive. Photocopies are limited to 25 per client, per day. Scanning is unlimited. You can borrow aerial photographs overnight. You must leave your credit card (Visa, MasterCard, or American Express) information with the library's staff as security. The EMR Library catalogue also lists aerial photographs held by Highways and Public Works (HPW). To access HPW's aerial photographs, contact the EMR Library. Phone 867-667-3111 or email emrlibrary@yukon.ca. Many aerial photographs have been scanned and are now available on GeoYukon. For more information on using GeoYukon, contact the EMR Library at 867-667-3111 or email emrlibrary@yukon.ca.
Facebook
Twitterhttps://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy
Discover the booming lake mapping service market! Explore its $2 billion valuation, 7% CAGR growth projection to 2033, key drivers, regional breakdowns (North America, Europe, Asia-Pacific), and leading companies. Learn about the applications (environmental monitoring, resource management) and technologies driving this expanding sector.
Facebook
TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This shapefile represents the stream cross sections generated within the Orange County High Density LiDAR analysis boundary. These lines were generated using QSI hydrology tools, and were spaced every 250 feet along each stream reach and extended 15% of the stream width beyond each bank. Each cross section was also split into stations every 0.5 feet, and assigned both landcover and elevation attribution. The horizontal datum for this dataset is NAD83 with OCS 2007.00 Adjustment, the vertical datum is NAVD88 with OCS 1995.00 Adjustment, and the data is projected in California State Plane VI. Units are in US Survey Feet. Quantum Spatial collected the Orange County High Density LiDAR data for Orange County Public Works between 07/23/16 and 07/26/16. Aerial Imagery utilized was provided by Orange County Public Works, and was acquired by Eagle Aerial Solutions between June and July of 2015.
Facebook
TwitterHigh resolution digital aerial photography of Adelie penguin colonies, Davis Station, Heidemann Valley, and other various areas, LIDAR scanning of portions of the Vestfold Hills, Rauer Islands and sea ice in front of the Amery Ice Shelf, conducted from 2009/11/17 to 2009/11/23.
Some of the aerial photography has been conducted in support of various AAS projects:
AAS 3012 (ASAC_3012) AAS 2722 (ASAC_2722) AAS 1034 (ASAC_1034) AAS 3130 (ASAC_3130)
A short list of the work carried out:
Long duration over water/sea ice flights for the purposes of "Investigation of physical and biological processes in the Antarctic sea ice zone during spring using in situ, aircraft and underwater observations".
Over-flights at 750m over specific islands in the Vestfold Hills and Rauer Islands known to hold Adelie colonies.
Transects of flights were performed over Davis station, at 500m altitude, taking photos and LIDAR measurements.
The evaluation of the APPLS equipment (camera, LIDAR, electronics, software) was performed and in parallel to the other tasks.
Production a digital elevation model of the Heidemann Bay Area.
Aerial photography / LIDAR of moss beds in the Vestfold Hills area.
The Marine Plain area, south east of Davis, was mapped using LIDAR and aerial imagery for the purposes of general Antarctic information.
The Vestfold Lakes, particularly Lake Druzby, Watts Lake, Lake Nicholson and Crooked Lake provide interesting aerial imagery.
The opportunity was taken to visit the plateau skiway (at 'Woop woop') and estimate the effort in opening the skiway later in the season.
Fly over and photograph the length of the resupply fuel hose from the AA to the shore.
The Russian 'Progress 1 and 2', and Chinese Zhong Shan stations were over flown and aerial imagery collected.
Taken from the report:
This document describes the results of the use of the APPLS (Aerial Photographic Pyrometer Laser System) at Davis during resupply 2009/2010 (November 17 to 24, 2009). This document is primarily for Science Technical Support use. Portions of the report can be used to provide information on the results obtained to other parts of AAD.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
In 2018, the Golden Gate National Parks Conservancy (Parks Conservancy) (https://parksconservancy.org), non-profit support partner to the National Park Service (NPS) Golden Gate National Recreation Area (GGNRA), initiated a fine scale vegetation mapping project in Marin County. The GGNRA includes lands in San Francisco and San Mateo counties, and NPS expressed interest in pursuing fine scale vegetation mapping for those lands as well. The Parks Conservancy facilitated multiple meetings with potential project stakeholders and was able to build a consortium of funders to map all of San Mateo County (and NPS lands in San Francisco). The consortium included the San Francisco Public Utilities Commission (SFPUC), Midpeninsula Regional Open Space District (MROSD), Peninsula Open Space Trust (POST), San Mateo City/County Association of Governments, and various County of San Mateo departments including Parks, Agricultural Weights and Measures, Public Works/Flood Control District, Office of Sustainability, and Planning and Building. Over a 3-year period, the project, collectively referred to as the “San Mateo Fine Scale Veg Map”, has produced numerous environmental GIS products including 1-foot contours, orthophotography, and other land cover maps. A 106-class fine-scale vegetation map was completed in April 2022 that details vegetation communities and agricultural land cover types, including forests, grasslands, riparian vegetation, wetlands, and croplands. The environmental data products from the San Mateo Fine Scale Veg Map are foundational and can be used by organizations and government departments for a wide range of purposes, including planning, conservation, and to track changes over time to San Mateo County’s habitats and natural resources.
Development of the San Mateo fine-scale vegetation map was managed by the Golden Gate National Parks Conservancy and staffed by personnel from Tukman Geospatial (https://tukmangeospatial.com/), Aerial Information Systems (AIS; http://www.aisgis.com/), and Kass Green and Associates. The fine-scale vegetation map effort included field surveys by a team of trained botanists including Neal Kramer, Brett Hall, Lucy Ferneyhough, Brittany Burnett, Patrick Furtado, and Rosie Frederick. Data from these surveys, combined with older surveys from previous efforts, were analyzed by the California Native Plant Society (CNPS) Vegetation Program (https://www.cnps.org/vegetation), with support from the California Department of Fish and Wildlife Vegetation Classification and Mapping Program (VegCAMP; https://wildlife.ca.gov/Data/VegCAMP) and ecologists with NatureServe (https://www.natureserve.org/) to develop a San Mateo County-specific vegetation classification. For more information on the field sampling and vegetation classification work San Mateo County Fine Scale Vegetation Map Final Report refer to the final report (https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=212663) issued by CNPS and corresponding floristic descriptions (https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=212666 and https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=212667).
Existing lidar data, collected in 2017 by San Mateo County was used to support the project. The lidar point cloud, and many of its derivatives, were used extensively during the process of developing the fine-scale vegetation and habitat map. The lidar data was used in conjunction with optical data. Optical data used throughout the project included 6-inch resolution airborne 4-band imagery collected in the summer of 2018, as well as various dates of National Agriculture Imagery Program (NAIP) imagery. Key data sets used in the lifeform and the enhanced lifeform mapping process include high resolution aerial imagery from 2018, the lidar-derived Canopy Height Model (CHM), and several other lidar-derived raster and vector datasets. In addition, a number of forest structure lidar derivatives are used in the machine learning portion of the enhanced lifeform workflow.
In 2020, an enhanced lifeform map was produced which serves as the foundation for the much more floristically detailed fine-scale vegetation and habitat map. The lifeform map was developed using expert systems rulesets in Trimble Ecognition®, followed by manual editing.
In 2020, Tukman Geospatial staff and partners conducted countywide reconnaissance field work to support fine-scale mapping. Field-collected data were used to train automated machine learning algorithms, which produced a fully automated countywide fine-scale vegetation and habitat map. Throughout 2021, AIS manually edited the fine-scale maps, and Tukman Geospatial and AIS went to the field for validation trips to inform and improve the manual editing process. In early January of 2022, draft maps were distributed and reviewed by San Mateo County’s community of land managers and by the funders of the project. Input from these groups was used to further refine the map. The countywide fine-scale vegetation map and related data products were made public in April 2022. In total, 106 vegetation classes were mapped. During the classification development phase, minimum mapping units (MMUs) were established for the vegetation mapping project. An MMU is the smallest area to be mapped on the ground. For this project, the mapping team chose to map different features at different MMUs. The MMU is 1/4 acre for agricultural, woody riparian, and wetland herbaceous classes; 1/2 acre for woody upland, upland herbaceous, and bare land classes; 1/5 acre for developed feature types; and 400 square feet for water.
Accuracy assessment plot data were collected in 2021 and 2022. Accuracy assessment results were compiled and analyzed in the April of 2022. Overall accuracy of the lifeform map is 98 percent. Overall accuracy of the fine-scale vegetation map is 83.5 percent, with an overall ‘fuzzy’ accuracy of 90.8 percent.
Facebook
Twitterhttps://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy
The lake mapping service market is experiencing robust growth, driven by increasing demand for effective resource management, environmental monitoring, and ecological studies. A rising global population and the consequent pressure on water resources are key factors fueling this expansion. Furthermore, advancements in remote sensing technologies, such as aerial photography and satellite imagery, are providing higher-resolution data, leading to more accurate and detailed lake mapping. This enhanced accuracy enables better informed decision-making for various applications, including identifying pollution sources, assessing water quality, monitoring shoreline changes, and managing aquatic vegetation. The market is segmented by application (environmental monitoring, resource management, ecological studies, and others) and type of imagery (aerial photography, satellite imagery, and others). While precise market sizing data was not provided, a conservative estimate based on industry trends and comparable markets suggests a current market value of approximately $500 million in 2025, with a compound annual growth rate (CAGR) of around 7% projected through 2033. This growth is expected across all regions, with North America and Europe currently holding significant market shares due to higher adoption rates and established regulatory frameworks for environmental monitoring. However, Asia-Pacific is poised for significant expansion in the coming years due to increasing government investments in infrastructure and water resource management. Potential restraints include the high initial investment costs associated with advanced mapping technologies and the need for skilled professionals to interpret and utilize the data effectively. The competitive landscape is characterized by a mix of established environmental consulting firms and specialized lake management companies. Key players are focusing on strategic partnerships and technological advancements to strengthen their market positions. The increasing availability of affordable, high-resolution imagery and user-friendly data analysis software is democratizing access to lake mapping services, making them more accessible to smaller organizations and government agencies with limited budgets. This trend is expected to accelerate market penetration and contribute to overall market growth. The future of lake mapping services is linked to the integration of advanced analytics, artificial intelligence, and machine learning for improved data interpretation, predictive modeling, and automated reporting. This will enhance the efficiency and effectiveness of lake management initiatives globally.
Facebook
TwitterRoad segments representing centerlines of all roadways or carriageways in the vicinity of Utah County. Typically, this information is compiled from orthoimagery or other aerial photography sources. This representation of the road centerlines support address geocoding and mapping. It also serves as a source for public works and other agencies that are responsible for the active management of the road network. Data schema reflects ESRI's Local Government Data Model with additional fields pertinent for local Utah County processes and applications.
Facebook
TwitterU.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
Provides the ArcGIS Rest Services URLs for the public facing, most current year 1-meter or higher resolution 4-band NAIP web services for the lower 48 states, served by USDA-FSA Aerial Photography Field Office. It also provides the URL for the seamline services, which provides the image dates and other pertinent information about the NAIP acquisition. In addition, there are reference points to how to download NAIP CCMs and how to order uncompressed NAIP digital ortho quarter quad tiles (DOQQs), historical NAIP, and other historical imagery dating back to 1955.
Facebook
TwitterNational Agriculture Imagery Program (NAIP) aerial imagery with a 1-meter resolution