The Aerial Imaging market is expanding rapidly as industries adopt drone and satellite-based imaging for defense, urban planning, disaster response, and resource management.

Global Market Share by Key Players (2025)

Tier-Wise Company Classification (2025)

This image service features aerial photographs collected March 5 - April 4, 2023 by Eagle View Technologies, Inc, under contract to the Rhode Island Department of Transportation. The source images are 3-band true color, have a 3-inch spatial resolution, and were flown during leaf-on conditions. These images are not traditionally orthorectified.These data were contributed to the Rhode Island Geographic Information System (RIGIS; https://www.rigis.org) by the Rhode Island Department of Transportation.While these aerial photographs are very detailed (3-in pixel resolution), they are not traditionally orthorectified. Their horizontal accuracy may vary throughout the state. Potential users are encouraged to carefully evaluate the suitability of these images before use.These images will be made available for traditional file download by RIGIS when resources are available.Metadata (not currently available)Web servicesArcGIS image service, WGS84 Web Mercator (EPSG 102700)ArcGIS image service, NAD83 RI State Plane feet (EPSG 3438)Tile index shapefile (not currently available)Traditional file listing (not currently available)

Caribbean / Florida satellite imagery from SPOT, provided by Eagle Vision. Imagery is multispectral or panchromatic, 1.5m or 6m resolution.

Publish date: 8/21/2024Shoreline Classification: The entire length of digitized shoreline was classified with ESI values in accordance with the ESI scheme (see below). The shoreline ESI classifications were determined by expert interpretation of the following sources: (1) 2020 NAIP imagery; (2) 2009–2021 low-altitude oblique and orthometric aerial photography from EagleView; (3) 2009–2021 Google Earth satellite imagery; (4) National Wetland (NWI) classifications from the U.S. Fish &Wildlife Service; (5) 2005 geologic map database of Texas to differentiate between clay scarps and sand scarps; and (6) field observations. Shoreline type interpreters used high-end GIS workstations with large, high-resolution displays to view the multiple imagery sources simultaneously for a single area. Shoreline features with a length of 3 m or greater were captured in the classification. Along many segments of the Texas coast, several shoreline types occur in close proximity in a direction normal to the shoreline, and therefore several ESI rankings are assigned to a shoreline segment where multiple shoreline types are subject to oiling. During the classification process, each length of shoreline was assigned one, two or three ESI rankings depending on how many habitat types existed in proximity to the shoreline in that area. Five fields were ultimately used to store these shoreline types: ESI, ESI_1, ESI_2, ESI_3, and ESI_CRIT. The first ranking was stored in the ESI_1 field, the second ranking (if assigned) was stored in the ESI_2 field and the third ranking (if assigned) was stored in the ESI_3 field. If more than one ranking was assigned, the ESI_1 value always represented the most landward habitat, and each additional ranking was situated progressively seaward. Similarly, the ESI field consisted of a list of the one, two, or three ESI rankings indicated in the ESI_1, ESI_2, and ESI_3 fields and was listed as moving from the most landward shoreline type to the most seaward. The ESI_CRIT field represented the most critical shoreline type that could be damaged or destroyed due to an oil spill. Field Verification: Field verifications were performed to aid in classification. The ESI rankings and boundaries were spot checked by boat and from land. Areas were targeted that required additional information due to complexity of shoreline types, significant changes in shoreline types, and for calibration of aerial imagery. In cases where the imagery and ground truth classifications differed or no recent imagery was available, the shoreline classification was changed to the field verified shoreline type.

NSW Imagery Web Service

Please Note This dataset has spatial reference [WGS 84 ≈ GDA94] which may result in misalignments when viewed in GDA2020 environments. A similar service with spatial reference GDA2020 is also available as NSW Imagery Web Service GDA2020The NSW Imagery web map service provides spatial imagery covering the extent of NSW. It depicts cached imagery map of NSW which includes the following data sets: LandSat 2014® satellite imagery Spatial Services standard coverage ADS sensor orthorectified imagery Spatial Services high resolution ADS sensor town imagery Spatial Services high resolution ADS sensor project imagery AAM 2012 Tweed orthorectified imagery AAM 2012 Sydney conurbation 10cm GSD orthorectified imagery Jacobs 2009 Upper Hunter AUSIMAGE® orthophoto imagery Jacobs 2004 Queanbeyan AUSIMAGE® orthophoto imagery Jacobs 2006 Yass AUSIMAGE® orthophoto imagery Jacobs 2002 Goulburn AUSIMAGE® orthophoto imagery Jacobs 2014 AUSIMAGE® orthophoto imagery Jacobs 2016 AUSIMAGE® orthophoto imagery Spookfish/Eagleview 2018 ImagerySix Cities Conurbation AAM Imagery 2020-2022Six Cities Conurbation Aerometrex Imagery 2021-2022 This product has been produced to identify visible land cover features and terrain to support Spatial Services along with local and state government programs, including Emergency Services. This product is used on a whole of government basis as a visible record of the landscape at a given point in time.This web service allows users to easily integrate the Imagery coverage for NSW into Open Geospatial Consortium (OGC) compliant spatial platforms and applications. Imagery provides an analytical source and contextual background for decision making and supports multiple applications including: mapping emergency services sustainable human and land use development geosciences natural resource management The NSW Imagery web service provides access to accurate, authoritative and timely aerial imagery of NSW. This service ensures users are able to consume spatial imagery without the requirement of hosting the imagery files on their own servers. The Imagery cache is maintained by Spatial Services and is an output of Spatial Services’ imagery collection and maintenance program. MetadataType Esri Map ServiceUpdate Frequency
Spatial Services captures and updates imagery from advice provided by stakeholders primarily through Imagery and Elevation NSW, a working group of the NSW Location Leadership Group.Contact Details Contact us via the Spatial Services Customer HubRelationship to Themes and Datasets NSW Imagery Theme of the Foundation Spatial Data Framework (FSDF) Accuracy The horizontal accuracy of the imagery is dependent upon the resolution (GSD) of the image:· Horizontal accuracy of +/-2.5 x GSD (meters) at 95% confidence level on bare open ground using RMSE x 1.73.Spatial Reference System (dataset) Geocentric Datum of Australia 1994 (GDA94), Australian Height Datum (AHD) Spatial Reference System    (web service) EPSG 4326: WGS 84 Geographic 2D WGS 84 Equivalent ToGDA94 Spatial Extent Full StateStandards and Specifications
Metadata AS/NZS ISO 19115-2, ANZLIC Metadata Profile v1.1 and ISO 19139 http://www.anzlic.gov.au/resources/anzlic-metadata-profileIntergovernmental Committee on Surveying and Mapping (ICSM) Guidelines for ImagerySpatial Services: Imagery Products Specification and DescriptionDistributors Service Delivery, DCS Spatial Services 346 Panorama Ave Bathurst NSW 2795Dataset Producers and Contributors Administrative Spatial Programs, DCS Spatial Services 346 Panorama Ave Bathurst NSW 2795