2020 9" resolution imagery for the San Diego region. Imagery was acquired as part of the San Diego regional aerial imagery acquisition partnership. Image source is Nearmap, and is a resampled regional dataset developed for public access.

Additional product information can be reviewed via the following links:

https://gis.sandag.org/docs/NEARMAP-MetadataSummary.pdf

https://docs.nearmap.com/display/ND/NEARMAP+CONTENT

Nearmap gives organizations instant access to current and historic location content that seamlessly integrates into the full suite of ArcGIS products with no coding required. Enhance your capabilities to perform virtual site visits, capture spatial insights, and optimize location-based analyses. Nearmap delivers consistent, high-quality content that unlocks productivity for profound change with: • Leading 2.2-3” GSD vertical, oblique, and panoramic aerial imagery • An ever-growing library of up-to-date and historic captures • On-demand city-scale 3D datasets • Verified pre-processed property insights at unmatched scale with Nearmap AI As an industry leader in cloud-based content, Nearmap proactively captures wide-scale urban areas in the USA, Canada, Australia, and New Zealand multiple times each year, with patented plane-mounted camera systems that provide superior detail, and a proprietary, automated processing pipeline that ensures availability within days of capture. “Nearmap gets users started quickly with a great visual experience that provides context to the data, and it works in workflows that they are already used to producing.” —Philip Mielke, Esri 3D Web Experience Product Manager

The original building outlines were created from the 2005 Pictometry aerial imagery. The Building Class field was added from the 2011 Community Basemap project and the type 'apartment' was added to that domain in 2011. New building outlines were acquired from the 2011-2012 Pictometry flight and replaced the whole layer joining previous attribute information where possible. Building outlines and change analysis were completed again with the Pictometry flight in 2014. Building outlines and change analysis were completed with the Pictometry flight in 2016. Building outlines and change analysis were completed with the Pictometry flight in 2018. Building outlines and change analysis were completed with the Pictometry flight in 2020.The latest building outlines were created from the February 2022 Nearmap image capture using the Nearmap AI model. Change detection is no longer captured nor are decks. The layer's schema was changed to mirror the new capture method.Building classifications are 1=General/Residential, 2=Government, 3=Medical, 4=Education, 5=Transportation, 6=Commercial, 7=Religious, 8=Recreation, 9=Cultural/Heritage, 10=Hospitality, 11=Airport, 12=Industrial, 13=CommunityCenter, 14=Apartment

Supporting information for: REMAP: An online remote sensing application for land cover classification and monitoringcsv and json files for implementing land cover classifications using the remap, the remote ecosystem assessment and monitoring pipeline (https://remap-app.org/)Nearmap aerial photograph courtesy of Nearmap Pty Ltd.For further information see:Murray, N.J., Keith, D.A., Simpson, D., Wilshire, J.H., Lucas, R.M. (accepted) REMAP: A cloud-based remote sensing application for generalized ecosystem classifications. Methods in Ecology and Evolution.

The global airborne imagery market is projected to reach USD XXX million by 2033, growing at a CAGR of XX% during the forecast period 2025-2033. The increasing demand for aerial imagery in various applications, such as government agencies, military & defense, energy sector, agriculture and forestry, civil engineering, commercial enterprises, and others, is driving the growth of the airborne imagery market. Moreover, the technological advancements in unmanned aerial vehicles (UAVs), helicopters, fixed-wing aircraft, and other platforms are further propelling the market growth. Key market trends include the increasing adoption of UAVs for aerial imaging due to their flexibility, cost-effectiveness, and ease of use. The growth of the energy sector, particularly in offshore exploration and production, is also driving the demand for airborne imagery for site surveys, environmental monitoring, and asset inspection. Additionally, advancements in image processing and analytics are enabling the extraction of valuable insights from aerial imagery, making it a powerful tool for decision-making in various industries. Major players in the airborne imagery market include Blom ASA, Digital Aerial Solutions, Cooper Aerial Surveys, Fugro, Landiscor Aerial Information, EagleView Technology, Nearmap, Kucera International, Quantum Spatial, Getmapping, and SkyIMD, among others.

The Airborne Photography System (APS) market is experiencing robust growth, projected to reach $289.1 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 6.2% from 2025 to 2033. This expansion is driven by several key factors. The increasing demand for high-resolution imagery across diverse sectors, including agriculture (precision farming), infrastructure development (construction monitoring and surveying), and environmental monitoring (disaster assessment and resource management), fuels market growth. Technological advancements in sensor technology, drone capabilities, and data processing software are significantly enhancing image quality, acquisition speed, and analytical capabilities, further boosting market adoption. Government initiatives promoting the use of advanced surveying technologies in infrastructure projects, especially in developed nations, contribute significantly to market expansion. The rise of 3D modeling and mapping applications also contributes to the increasing need for high-quality airborne imagery. Furthermore, the cost-effectiveness of APS compared to traditional methods like ground surveys, particularly for large-scale projects, makes it a compelling solution. Market segmentation reveals significant opportunities across various applications. The military and defense sector remains a major consumer of APS for intelligence gathering and surveillance. However, the civil engineering and agricultural sectors are experiencing rapid growth, driven by the increasing demand for efficient land management and precise monitoring of infrastructure projects. The choice of aerial platforms – unmanned aerial vehicles (UAVs or drones), helicopters, and fixed-wing aircraft – varies based on application, budget, and project scope, creating a diversified market landscape. North America and Europe are currently the leading regions, benefiting from robust infrastructure and early adoption of advanced technologies; however, the Asia-Pacific region is expected to show strong growth in the coming years due to rapid urbanization and economic development.

Point sampling dataData generated from point-sampling aerial imagery to obtain an estimate of seagrass cover over timePoint sampling.xlsxBalgowlah shapefilesShapefiles and images for the Posidonia australis meadow located at site 'Balgowlah' (BG) in Sydney HarbourBalgowlah.zipBarrenjoey Head ShapefilesShapefiles and images for the Posidonia australis meadow located at site 'Barrenjoey Head' (BH) in PittwaterBarrenjoey Head.zipBurraneer Bay ShapefilesShapefiles and images for the Posidonia australis meadow located at site 'Burraneer Bay' (BB) in Port HackingBurraneer Bay.zipDolans Bay ShapefilesShapefiles and images for the Posidonia australis meadow located at site 'Dolans Bay' (DB) in Port HackingDolans Bay.zipGunnamatta Bay ShapefilesShapefiles and images for the Posidonia australis meadow located at site 'Gunnamatta Bay' (GB) in Port HackingGunnamatta Bay.zipKurnel East ShapefilesShapefiles and images for the Posidonia australis meadow located at site 'Kurnell East' (KE) in Botany Ba...

This cached leaf-on imagery service is made from a mosaic of colour digital air photos of the municipality of Kingston, Ontario captured by Nearmap on August 29, 2024. Original images and web service provided in Web Mercator projection. Original images captured at 7.5cm resolution. Cached down to 1:1128 scale with the ability to zoom in further.

Point feature class of specialty markings on the City of Austin maintained streets. The assets were referenced using NearMap imagery and work orders submitted through the Signs and Markings Data Tracker. The dataset use segment ID and intersection ID as a spatial reference. Specialty markings are seperated into types that include arrows, word legends, parking space boundaries, raised pavement markings (RPM), symbols, and other pavement markings.

Landmark Ecological Services Pty Ltd (Landmark) was engaged by the Nature Conservation Council (NCC) to conduct fine-scale mapping of vegetation, at Ngunya Jargoon, an Indigenous Protected Area (IPA) on the NSW far north coast. Initial air photo interpretation (API) had previously been undertaken by the Office of Environment and Heritage (OEH) for Ngunya Jargoon, including identification of recommended ground truthing points. The OEH mapping provided a base-map with linework based on obvious patterns in vegetation detected during API. The imagery used to map the communities included Land and Property Information high resolution digital photography (ADS40, Sept 2009) and Nearmap online high resolution aerial imagery. NCC then contracted Landmark to undertake the ground-truthing, further air interpretation and final production of the maps for this project. Ngunya Jargoon is approximately 850 ha in area and is located approximately 1km to the west of Wardell, a small village on the Richmond River in Ballina Shire. The landscape comprises a level to gently undulating sand plain with two small sandstone hills in the south-east of the IPA. The soils at Ngunya Jargoon are mapped as Warners Bay Coastal Sandplains with the exception of a small area to the south mapped as Birdsview Variant a Sedimentary High quartz and a small area mapped as Disturbed Terrain in the northwest. VIS_ID 4693\r \r NOTE: Footprint only is available for download. Please contact the data custodian (NCC) for access to the vegetation map:\r Email: ncc@nature.org.au\r Phone: (02) 9516 1488\r https://www.nature.org.au/about/contact-us/\r \r VIS_ID 4693\r

The point of interest (POI) layer is used as part of the rendering of the City of Kingston basemapping, Community Map Project, general presentation, general analysis. This point file for the City of Kingston represents a variety of points of interest including such themes as sports, arenas, parks, leisure, tourism, heritage, historic, retail, hospitals, government agencies, education, schools, etc. The points are used for cartographic purposes as symbology or for labeling. Updating of POI is planned (Ortho Imagery Project), and or ad hoc (new information). The most recent orthophoto acquisition is August 2021 (Nearmap).

Line feature class of short line markings. The assets were referenced using NearMap imagery and work orders submitted through the Signs and Markings Data Tracker. The short line assets use segment ID and intersection ID as a spatial reference. Short line includes crosswalks, stop lines, school zone lines, and yield lines.

Low level (6-inch) aerial photography for Dakota County flown in Fall 2019. Using NSSD methods this data tested 3.49 feet horizontal accuracy at 95% confidence level over the entire capture area. The contiguous rural area and Hastings tested at 5.36 feet horizontal accuracy and the urban area tested at 2.21 feet horizontal accuracy.

This imagery is copyrighted and licensed by Nearmap US Inc, which retains ownership of the imagery. It is being provided by Dakota County under the terms of that license. It may be used for any purpose, excluding commercial purpose. Any third party must use this imagery in the ordinary course of their business and may not resell such imagery for the purpose of direct commercial benefit or gain. By accessing this imagery, the user acknowledges these terms and affirms compliance.

The Department of Planning provides support to Local Government to enable evidence-based planning decisions. Biodiversity and Conservation Division collaborated with Cessnock City Council in 2021-2022 to deliver environmental map layers (Environmental Lands Study) that facilitate council’s review of their Local Environment Plan. This dataset is one of those and maps all streambanks of larger streams in the 196,468-hectare Cessnock Local Government Area using the Strahler system to identify stream type. All tenures were mapped excluding National Parks and Wildlife Service (NPWS) estate because they are formally reserved and protected under Local Environment Plans and were outside of the scope of the Environmental Lands Study. Data is in vector format and was produced to a scale range of 1:500 – 1:3000. The process for delineating streambanks for the Cessnock LGA began by mapping stream order, then adding LiDAR and NearMap imagery as a basemap. The technique of hillshading was then used to show the streambank top edge and topographic features of streambanks. All streams higher than 2nd order were buffered by 100m to create the area of interest (AoI) for mapping streambanks. High resolution Light (or Laser) Detection and Ranging (LiDAR) was converted to a hillshade to facilitate the delineation of 3rd order and above streambanks. Streambanks were mapped at a scale of 1:3,000 as lines using a pen graphic tablet and the dataset saved to a file geodatabase.

The 2017 Landuse captures how the landscape in NSW is being used for food production, forestry, nature conservation, infrastructure and urban development. It can be used to monitor changes in the landscape and identify impacts on biodiversity values and individual ecosystems.\r \r The NSW 2017 Landuse mapping is dated September 2017. \r \r This is version 1.5 of the dataset, published December 2023.\r \r Version 1.5 of the 2017 Landuse incorporates the following updates:\r \r * Fine scale mapping of the Central Coast, Illawarra and Shoalhaven regions\r * Mapping enhancements to regional centres to improve the mapping accuracy for these centres\r * NSW road network based on road centreline data from Transport NSW, with standardised buffer applied to approximate the carriage width based on the road type\r * Plantation type (native hardwood and softwood) information within State Forest Estates \r * Horticulture data to tertiary or commodity level present in September 2017 from Australian Tree Crop Map Dashboard developed by University of New England - Applied Agricultural Remote Sensing Centre \r https://www.une.edu.au/research/research-centres-institutes/applied-agricultural-remote-sensing-centre/collaborative-r-and-d-opportunities/industry-applications-and-maps\r * Fixes to identified errors since published version 1.2 \r \r Previous Versions\r *Version 1.4 internal update (not published)\r * Version 1.3 internal update (not published)\r * Version 1.2 published 24 June 2020 - Fine scale update to Greater Sydney Metropolitan Area\r * Version 1 published August 2019\r \r The 2017 Landuse is based on Aerial imagery and Satellite imagery available for NSW. These include, but not limited to; digital aerial imagery (ADS) captured by NSW Department of Customer Service (DCS), high resolution urban (Conurbation) digital aerial imagery captured on behalf of DCS, SPOT 5, 6 & 7(Airbus), Planet™, Sentinel 2 (European Space Agency) and LANDSAT (NASA) Satellite Imagery. Mapping also includes commercially available imagery from Nearmap™ and Google Earth™, along with Google Street View™. \r \r Mapping takes into consideration ancillary datasets such as tenure such as National Parks and State forests, cadastre, roads parcels, land zoning, topographic information and Google Maps, in conjunction with visual interpretation and field validation of patterns and features on the ground. \r \r The 2017 Landuse has complete coverage of NSW. It also includes updates to the fine scale Horticulture mapping for the east coast of NSW - Newcastle to the Queensland boarder and Murray-Riverina Region. This horticultural mapping includes operations to the commodity level based on field work and high-resolution imagery interpretation. \r \r Landuse classes assigned are based on activities that have occurred in the last 5-10 years that may be part of a rotational practice. Time-series LANDSAT information has been used in conjunction with more recent Satellite Imagery to determine whether grasslands have been disturbed or subject to ongoing land management activities over the past 30 years.\r \r The 2017 Landuse was captured on screen using ARC GIS (Geographical Information Software) at a scale of 1:8,000 scale (or better) and features are mapped down to 2 hectares in size. Exceptions were made for targeted Landuse classes such as horticulture, intensive animal husbandry and urban environments (including Greater Sydney Metropolitan region), which were mapped at a finer scale. \r \r The reliability scale of the dataset is 1:10,000.\r \r Mapping has been subject to a peer review and quality assurance process.\r \r Land use information has been captured in accordance with standards set by the Australian Collaborative Land Use Mapping Program (ACLUMP) and using the Australian Land Use and Management ALUM Classification Version 8. The ALUM classification is based upon the modified Baxter & Russell classification and presented according to the specifications contained in http://www.agriculture.gov.au/abares/aclump/land-use/alum-classification.\r \r This product will be incorporated in the National Catchment scale land use product 2020 that will be available as a 50m raster - Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) http://www.agriculture.gov.au/abares/aclump/land-use/data-download\r \r The Department of Planning, Industry and Environment (DPIE) will continue to complete land use mapping at approximately 5-year intervals. \r \r The 2017 Landuse product is considered as a benchmark product that can be used for Landuse change reporting. Ongoing improvements to the 2017 Landuse product will be undertaken to correct errors or additional improvements to the mapping. \r

This dataset comprises of native vegetation communities within the boundaries of native vegetation extant in the Lake Macquarie City Council (LMCC) Local Government Area (LGA). These communities were originally mapped by Stephen Bell and Collin Driscoll using the methodology outlined in Bell, S.A.J. & Driscoll, C. (2016) and are as amended by LMCC by bi-annual review.\r \r The methodology is a composite of field survey (rapid data points) and vegetation mapping from various reports. Additional edits have been made by LMCC where attribution and/or lineage has found to be in error, or more intensive field site survey has been undertaken. Native vegetation extant is derived from the LMCC Native Vegetation and Corridor mapping (updated using 2022 nearmap imagery).\r \r The internal Map Unit (MU) delineation accuracy varies according to the source data at each point. The intention is to improve accuracy over time. The accuracy of the vegetation extant is <10m. All data requires careful interpretation with consideration of the accuracy field at any location. Full floristic plot survey and multivariate analysis has not been undertaken for many of the map units, hence their position in the classification hierarchy requires further confirmation. This dataset should not be used as a substitute for full site-specific floristic survey using standard techniques (quadrats & transects etc) and should be used in conjunction with the supporting reports.\r \r The vegetation community classification system used is LHCCREMS (NPWS) 2000, with subgroups and additional communities where no equivalent exists to form LMCC Map Units (MU). Equivalent NSW State Government Plant Community Types (PCTs) were assigned to LMCC vegetation community map units by S. Bell with varying degrees of confidence:\r \r * High matches are generally those where sufficient similarities are evident;\r * Medium, where some uncertainties are present; and\r * Low where there is considerable doubt over the match, but due to the absence of better matches these have been selected.\r * “No clear match” is for map units that occur in a very small area of the City and given they are local variations cannot be assigned to broader based PCT classification.\r \r Nationally listed Threatened Endangered Ecological Communities (TECs) are indicative only, and require onsite investigation. For Nationally listed species composition, condition, connectivity and patch size need to be verified in accordance with the relevant conservation advice. TECs are based in the first instance on the LMCC Map Unit. Where the LMCC Map Unit has not been assigned to a TEC but the equivalent eastern NSW PCT lists an associated Threatened Ecological Community, the TEC is listed in this dataset with the suffix “(possible, from PCT)”.\r \r Version 2 changes:\r In 2023 amendments were made to the mapping, with the updated version titled “Lake Macquarie LGA Vegetation Community Map 2022 – Version 2”. These amendments include:\r \r * Inclusion of data fields relating to the eastern NSW PCTs, including E. NSW PCT ID, E. NSW PCT Name and Confidence in the E. NSW PCT assigned to each LMCC map unit.\r * Incorporation of Saltmarsh and Mangrove polygons identified by NSW Department of Primary Industries (NSW DPI) as part of their estuary habitat mapping in 2022.\r * Field checking and adjustment of some vegetation communities in the vicinity of South Creek, Eleebana, in response to a request by Lake Macquarie Landcare.\r \r For more information including conversion tables between LMCC map units and Plant Communities and supporting reports see: https://www.lakemac.com.au/Development/Planning-controls/Local-Planning-Controls/Development-Guidelines or contact Lake Macquarie Council council@lakemac.nsw.gov.au\r \r \r VIS_ID 5117

Landmark Ecological Services Pty Ltd (Landmark) was engaged by the Nature Conservation Council (NCC) to conduct fine-scale mapping of vegetation, at Ngunya Jargoon, an Indigenous Protected Area (IPA) on the NSW far north coast. Initial air photo interpretation (API) had previously been undertaken by the Office of Environment and Heritage (OEH) for Ngunya Jargoon, including identification of recommended ground truthing points. The OEH mapping provided a base-map with linework based on obvious patterns in vegetation detected during API. The imagery used to map the communities included Land and Property Information high resolution digital photography (ADS40, Sept 2009) and Nearmap online high resolution aerial imagery. NCC then contracted Landmark to undertake the ground-truthing, further air interpretation and final production of the maps for this project. Ngunya Jargoon is approximately 850 ha in area and is located approximately 1km to the west of Wardell, a small village on the Richmond River in Ballina Shire. The landscape comprises a level to gently undulating sand plain with two small sandstone hills in the south-east of the IPA. The soils at Ngunya Jargoon are mapped as Warners Bay Coastal Sandplains with the exception of a small area to the south mapped as Birdsview Variant a Sedimentary High quartz and a small area mapped as Disturbed Terrain in the northwest. VIS_ID 4693

NOTE: Footprint only is available for download. Please contact the data custodian (NCC) for access to the vegetation map: Email: ncc@nature.org.au Phone: (02) 9516 1488 https://www.nature.org.au/about/contact-us/

VIS_ID 4693

PLEASE NOTE: This dataset has been superseded by NSW Landuse 2017 v1.5 The 2017 Landuse captures how the landscape in NSW is being used for food production, forestry, nature conservation, …Show full descriptionPLEASE NOTE: This dataset has been superseded by NSW Landuse 2017 v1.5 The 2017 Landuse captures how the landscape in NSW is being used for food production, forestry, nature conservation, infrastructure and urban development. It can be used to monitor changes in the landscape and identify impacts on biodiversity values and individual ecosystems. The NSW 2017 Landuse mapping is dated September 2017. It incorporates tenure based information for National Parks and State Forests in NSW, at the time of mapping. It currently does not include the Greater Sydney Metropolitan Region. Greater Sydney region will be completed in late 2019 and will be incorporated into the NSW 2017 land use product version 1.1. The NSW Landuse 2013, currently contains the best available information for the Greater Sydney region. https://datasets.seed.nsw.gov.au/dataset/nsw-landuse-2013 The 2017 Landuse has complete coverage of all regional centres and towns for NSW. It also includes updates to the fine scale Horticulture mapping for the east coast of NSW - Newcastle to the Queensland boarder. This horticultural mapping includes operations to the commodity level based on field work and high resolution imagery interpretation. The reliability scale is 1:10,000 and include values in the attribute fields of Source, Source Date, Source Scale, Reliability and LU Mapping (Currency) Date. Land use has been mapped on high resolution aerial imagery including ADS (digital imagery) captured by NSW Department of Finance, Service and Innovation, along with using Nearmap, Google Earth and Google Street View. Satellite imagery from LANDSAT (NASA), Sentinel 2 (European Space Agency), SPOT 5, 6 and 7(Airbus) and Planet Imagery, was used in the mapping process to account for Landuse activities that occur as part of a rotational practise. Land use information has been captured in accordance with standards set by the Australian Collaborative Land Use Mapping Program (ACLUMP) and using the Australian Land Use and Management ALUM Classification Version 8. The ALUM classification is based upon the modified Baxter & Russell classification and presented according to the specifications contained in http://www.agriculture.gov.au/abares/aclump/land-use/alum-classification. This product will be incorporated in the National Catchment scale land use product 2018 that will be available as a 50m raster - Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) http://www.agriculture.gov.au/abares/aclump/land-use/data-download

Nearmap WMS Server

This mosaic dataset contains aerial imagery (orthoimagery) collected by Nearmap on September 26, 2024. It has a ground sampling distance of 3 inches. The area covers 27.73 sq mi.Metadata updated: 12/2024