This imagery basemap uses content provided by Vexcel. This content is a licensed product of Vexcel Imaging, and available to Vexcel Data Program. Use is limited to your licensed content and Vexcel's EULA (https://vexceldata.com/eula/) or a separate specific agreement.Aerial imagery at 7.5cm resolution in urban areas in the contiguous U.S. and delivered as an Urban Ortho product for the City of New Orleans, LA.Vexcel's urban refresh collection program uses award-winning UltraCam sensors to capture aerial imagery at the highest quality and consistency available. Imagery is matched against ground control points for enhanced accuracy.More imagery in more places, more often. Our Urban Ortho product line provides extra collections and visualization throughout the year in major metro areas in the Lower 48 states, covering more than 800,000 km2. Together with our other ortho collections, it provides the largest annual program of high-resolution aerial imagery available in the United States

A digital elevation model service for Vexcel’s Elevate wide area program in Larimer County, CO. View digital surface models (DSM) at a spatial resolution of 15-20cm, and at an absolute accuracy of 100-120cm. This DSM data shows surface of ground and objects on the earth, including both natural (trees, vegetation) and human-made structures (buildings).Vexcel's wide area collection program uses award-winning UltraCam sensors to capture aerial imagery and elevation data at the highest quality, accuracy, and consistency available. This DSM collection spans both urban and rural areas in the Lower 48 states in the United States

The global digital mapping aerial photography market is experiencing robust growth, driven by increasing demand for precise geospatial data across diverse sectors. The market, valued at approximately $5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 8% from 2025 to 2033. This expansion is fueled by several key factors, including the proliferation of high-resolution sensors and drones, advancements in image processing and analysis techniques, and the rising adoption of cloud-based solutions for data storage and processing. Furthermore, the increasing need for accurate mapping in urban planning, infrastructure development, agriculture, and environmental monitoring contributes significantly to market growth. The integration of artificial intelligence (AI) and machine learning (ML) is further accelerating the automation of data processing and analysis, improving efficiency and reducing costs. Major players like Vexcel Imaging, Leica Geosystems, and Teledyne Optech are driving innovation through the development of advanced sensor technologies and software solutions. However, the market also faces certain challenges. High initial investment costs associated with specialized equipment and software can be a barrier to entry for smaller players. Data security and privacy concerns, along with the need for skilled professionals to operate and analyze data, also pose limitations. Nevertheless, the ongoing technological advancements and the increasing demand for precise geospatial data are expected to outweigh these challenges, ensuring continued market expansion in the coming years. The segmentation of the market by type of sensor (e.g., LiDAR, RGB), application (e.g., agriculture, urban planning), and region will further contribute to defining the market landscape and potential growth opportunities. This detailed understanding of market dynamics empowers stakeholders to make informed business decisions and capitalize on emerging trends.

A digital elevation model service for Vexcel’s Elevate wide area program in the United States. View digital surface models (DSM) at a spatial resolution of 15-20cm, and at an absolute accuracy of 100-120cm. This DSM data shows surface of ground and objects on the earth, including both natural (trees, vegetation) and human-made structures (buildings).Vexcel's wide area collection program uses award-winning UltraCam sensors to capture aerial imagery and elevation data at the highest quality, accuracy, and consistency available. This DSM collection spans both urban and rural areas in the Lower 48 states in the United States.

The aerial mapping camera market is experiencing robust growth, driven by increasing demand across diverse sectors. Applications like precision agriculture, infrastructure monitoring (building surveying and map production), and geological exploration are major catalysts. The shift towards automation and the integration of advanced technologies such as AI and machine learning for image processing and data analysis are further fueling market expansion. Technological advancements in camera types, including RGB, infrared, thermal imaging, and specialized remote sensing cameras, are offering enhanced data acquisition capabilities, leading to more accurate and detailed mapping solutions. This trend is coupled with the growing adoption of drones and UAVs for aerial data collection, making the technology more accessible and cost-effective for various applications. While the initial investment in high-quality aerial mapping cameras can be significant, the return on investment is substantial due to improved efficiency, reduced operational costs, and the valuable insights derived from detailed geographic information. Furthermore, government initiatives promoting the use of advanced mapping technologies for infrastructure development and environmental monitoring are providing a supportive regulatory landscape. Despite the strong growth drivers, the market faces some challenges. The high cost of sophisticated cameras and associated software, coupled with the need for skilled professionals to operate and interpret the data, represent significant barriers to entry for smaller companies. Data security and privacy concerns, particularly related to the collection and use of aerial imagery, also pose a potential limitation. However, ongoing technological innovations, especially in the realm of affordable, high-resolution sensors and user-friendly software, are mitigating these concerns. The market's growth trajectory is expected to remain positive, with increasing adoption across various sectors anticipated throughout the forecast period. The competition is intense, with established players and emerging tech companies vying for market share. Strategic partnerships and technological collaborations are likely to play a key role in shaping the future of this dynamic market.

The Photogrammetry Software market is experiencing robust growth, projected to reach $2.9 billion in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 16.98% from 2025 to 2033. This expansion is fueled by several key factors. The increasing adoption of drones and advanced imaging sensors provides significantly more affordable and accessible data acquisition for various applications. This, combined with the rising demand for precise 3D models and accurate measurements across diverse industries such as construction, surveying, and mapping, is a major catalyst for market growth. Furthermore, advancements in software algorithms and processing power are enabling faster and more efficient processing of large datasets, leading to quicker turnaround times and cost savings. The market is also witnessing an increase in cloud-based solutions, which offer enhanced scalability, accessibility, and collaboration capabilities. Competitive landscape analysis reveals a blend of established players like Fugro and Nearmap, along with innovative startups like Dronegenuity and Aerobotics, driving both innovation and market consolidation. The market segmentation, although not explicitly provided, can be logically inferred. We can anticipate segments based on software type (e.g., desktop, cloud-based), application (e.g., surveying, construction, agriculture), and industry vertical (e.g., infrastructure, mining, environmental monitoring). Geographic segmentation will also play a role, with regions like North America and Europe expected to hold significant market share initially, followed by growth in Asia-Pacific and other emerging markets driven by infrastructure development and urbanization. While restraining factors may include the high initial investment costs for some software solutions and the need for skilled professionals, the overall growth trajectory of the market is anticipated to remain positive, driven by the significant advantages offered by photogrammetry in various sectors. Recent developments include: • May 2023: Inspired Flight Technologies and Phase One launched a novel plug-and-play solution that combines aerial photography with flexible operations to satisfy various surveying and inspection demands. Phase One is a major global developer and manufacturer of medium- and large-format aerial photography systems. At the same time, Inspired Flight Technologies is a commercial small uncrewed aerial systems (UAS) company., • March 2023: UP42, a geospatial developer platform and marketplace, significantly expanded its aerial imagery and elevation data portfolio through a partnership with Vexcel, a photogrammetric and remote sensing company. Vexcel's aerial data collection initiative is significant worldwide, capturing ultra-high-resolution imagery (at 7.5 to 15 cm resolution) and geospatial data in more than 30 countries., . Key drivers for this market are: Rise of Location-based Services, Increasing Demand from Diversified Applications. Potential restraints include: Rise of Location-based Services, Increasing Demand from Diversified Applications. Notable trends are: The Government is Expected to be the Largest End User of Aerial Imaging.

The digital mapping aerial photography market is experiencing robust growth, driven by increasing demand for high-resolution imagery across various sectors. The market's expansion is fueled by advancements in drone technology, offering cost-effective and efficient data acquisition compared to traditional methods. Applications span diverse fields, including precision agriculture (monitoring crop health and yield), urban planning (creating detailed 3D city models), infrastructure management (assessing bridge conditions and pipeline integrity), and environmental monitoring (tracking deforestation and pollution). Furthermore, the integration of AI and machine learning algorithms enhances data processing and analysis, extracting valuable insights from aerial imagery with greater speed and accuracy. We estimate the market size in 2025 to be around $2.5 billion, considering typical growth rates in related tech sectors and the increasing adoption of digital mapping solutions. A compound annual growth rate (CAGR) of 12% is projected for the forecast period (2025-2033), indicating significant market expansion. However, challenges remain. High initial investment costs for equipment and software can be a barrier for smaller businesses. Data security and privacy concerns, particularly regarding sensitive infrastructure or personal information captured in aerial images, need careful consideration and robust solutions. Furthermore, regulatory hurdles related to drone usage and airspace restrictions can impede market growth in certain regions. Despite these restraints, the continuous technological advancements and expanding applications across various industries are expected to propel the market toward substantial growth in the coming years. Key players like Vexcel Imaging, Leica Geosystems, and Teledyne Optech are driving innovation and shaping market trends through their technological advancements and market expansion strategies.

The global market for Digital Oblique Aerial Cameras is experiencing robust growth, driven by increasing demand across diverse sectors. While the exact market size for 2025 is not provided, considering typical growth rates in the technology sector and the expanding applications of aerial imagery, a reasonable estimate for the 2025 market size would be $500 million. This is based on the understanding that specialized technology markets such as this typically show substantial growth, and the numerous applications described (public security, urban construction, metaverse development etc.) support this estimate. Assuming a Compound Annual Growth Rate (CAGR) of 15% (a conservative estimate given the technological advancements and increasing adoption), the market is projected to reach approximately $1.5 billion by 2033. Key drivers include the rising need for precise and detailed mapping in urban planning and infrastructure development, the growing adoption of advanced analytics for improved decision-making, and the expansion of applications in sectors like metaverse development and public security. The market is segmented by aircraft type (medium, small, helicopter) and application (public security, urban construction, metaverse, other), offering diverse opportunities for specialized camera manufacturers. However, high initial investment costs and the need for skilled personnel to operate and process the data represent potential restraints on market expansion. The North American and European markets currently hold significant shares, but rapid growth is expected in the Asia-Pacific region due to increasing infrastructure development and technological advancements. The competitive landscape is characterized by a mix of established players and emerging companies. Established players like Trimble and Leica Geosystems benefit from their brand recognition and extensive distribution networks, while smaller companies and startups are innovating with advanced camera technologies and software solutions. This competitive environment is encouraging ongoing innovation in sensor technology, image processing software, and drone integration, leading to improved image quality, data analysis capabilities, and overall efficiency in aerial data acquisition. The market shows a strong trajectory for growth in the next decade, further influenced by the ongoing advancements in AI and machine learning for automated image processing and analysis. This will significantly reduce processing time and costs, making the technology even more attractive to a broader range of users.

The global digital mapping camera system market is poised for steady growth, projected to reach $242.7 million in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 2.7% from 2025 to 2033. This growth is fueled by several key factors. Increased adoption of unmanned aerial vehicles (UAVs) or drones for surveying and mapping applications is a significant driver. The rising demand for high-resolution imagery in various sectors, including agriculture, construction, and infrastructure development, is further boosting market expansion. Advancements in sensor technology, leading to improved image quality and processing capabilities, are also contributing to market growth. Furthermore, the decreasing cost of digital mapping camera systems and readily available data processing software makes this technology more accessible to a wider range of users. Segment-wise, the linear array scanners (pushbroom) segment currently holds a larger market share due to its established technology and widespread use in traditional aerial mapping. However, area array systems are witnessing accelerated adoption due to their higher speed and efficiency in capturing large areas. The unmanned aircraft application segment is predicted to show the highest growth rate, driven by the aforementioned factors and the increasing affordability of drone technology. Geographic distribution reveals a strong presence in North America and Europe, with developing economies in Asia-Pacific showing considerable growth potential. Competition in the market is fairly intense with established players like Vexcel Imaging, Leica Geosystems, and Teledyne Optech dominating the market through their advanced product offerings and extensive customer networks. Newer entrants and smaller companies are focusing on niche applications and specialized solutions to compete effectively. Challenges include the high initial investment cost for advanced systems and the need for skilled personnel to operate and process data. However, technological advancements and increased affordability are likely to alleviate these challenges over time, paving the way for wider adoption and sustained market growth in the coming years.

The global digital mapping camera market, valued at $257.5 million in 2025, is projected to experience robust growth, driven by a Compound Annual Growth Rate (CAGR) of 13% from 2025 to 2033. This expansion is fueled by several key factors. The increasing demand for high-resolution imagery in various sectors, including surveying, agriculture, urban planning, and environmental monitoring, is a primary driver. Advancements in sensor technology, leading to improved image quality, resolution, and processing speeds, are also significantly contributing to market growth. Furthermore, the decreasing cost of digital mapping cameras and the rising adoption of sophisticated data processing and analytics software are making this technology accessible to a wider range of users. Government initiatives promoting the use of geospatial data for infrastructure development and resource management further bolster market expansion. However, certain challenges exist. The high initial investment required for purchasing advanced digital mapping camera systems can be a barrier to entry for smaller companies. Data storage and processing requirements are also substantial, potentially limiting adoption in regions with limited infrastructure. Competition from established players and emerging technologies could further influence market dynamics. Despite these restraints, the overall outlook for the digital mapping camera market remains positive, with substantial growth opportunities anticipated across diverse geographical regions and application domains. The market is expected to see continued innovation in areas such as multispectral and hyperspectral imaging, alongside integration with drone technology for efficient data acquisition.

This imagery was acquired by Vexcel Imaging in support of NICB.This product is a preliminary set of ortho images (approximately 3" resolution) created from imagery acquired on 9/12/2017The flying and pre-processing was performed by Sanborn using a Vexcel Imaging UltraCam Eagle. Orthophotos are being generated from best available orientation and digital terrain models to ensure data is available as fast as possible to the organizations that need the data quickly. This tile cache version represents a snapshot of the imagery created on September 17th. This is 2nd version of these with new image added on North side. Very limited color correction or seam-line mosaicking has been applied. It should be noted that much of the flying was done under adverse weather conditions, resulting in some limited image quality and many clouds. The full resolution data (3”) that is orthorectified on the fly to provide full details and improved interpretation as well as oblique imagery is available to organizations involved Hurricane Harvey response. For more details see http://geointel.org/.

The global market for mapping oblique cameras is experiencing robust growth, driven by increasing demand across diverse sectors. The market, estimated at $500 million in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This expansion is fueled by several key factors. Firstly, the rising adoption of advanced surveying and mapping techniques in industries like forestry, mining, and urban planning necessitates high-resolution imagery provided by oblique cameras. Secondly, technological advancements leading to improved image quality, increased sensor resolution, and more efficient data processing contribute to market growth. Thirdly, the decreasing cost of drones and other aerial platforms coupled with user-friendly software solutions is making oblique camera technology more accessible to a wider range of users. This democratization of technology is further expanding the market's reach. Finally, the growing need for precise geospatial data for infrastructure development, environmental monitoring, and disaster management fuels consistent demand for these specialized cameras. While the market faces some restraints, such as the high initial investment costs associated with acquiring advanced systems and the need for skilled professionals for data processing and analysis, these challenges are being addressed through technological innovation and the emergence of more affordable and user-friendly solutions. The market segmentation highlights strong growth across all application areas, with forestry, mining, and energy sectors leading the demand. The prevalence of full-frame cameras is also increasing due to their superior image quality and versatility. Geographically, North America and Europe currently hold significant market shares, but the Asia-Pacific region is poised for rapid growth owing to increasing infrastructure projects and rising government investments in geospatial technologies. The competitive landscape is characterized by a mix of established players and emerging companies, fostering innovation and driving market development.

description: This dataset contains 4 Band, red, green, blue, infrared (RGBI) digital orthophoto imagery of the Big Fork and Little Fork watersheds (most of Koochiching county, northern Itasca county, the middle portion of St. Louis county), and southeast St. Louis County (Duluth-Superior) in northern Minnesota. The orthophotos are 0.3 meter ground sample distance (GSD) and are in UTM Zone 15, NAD83 (meters). The tiling format of the imagery is based on a 3.75' x 3.75' quarter quadrangle with a 150 meter buffer on all four sides. The dataset includes 614 digital orthophoto quarter quadrangles (DOQQs) in GeoTiff format with an associated world file, and this metadata file. The data is available online as a web mapping service (WMS). All imagery was collected by Keystone Aerial Surveys Inc with a Vexcel UltraCamX camera from an altitude of approximately 15,500 feet. All imagery was processed by Keystone using the camera manufacturer's software, Inpho's photogrammetry suite and Keystone-created software. Funding for this data was provided by the Minnesota Natural Heritage Fund, the Minnesota Clean Water Legacy Act, The Environmental and Natural Resources Trust Fund, St. Louis County, the Coastal Zone Management Program, and the National Geospatial Intelligence Agency.; abstract: This dataset contains 4 Band, red, green, blue, infrared (RGBI) digital orthophoto imagery of the Big Fork and Little Fork watersheds (most of Koochiching county, northern Itasca county, the middle portion of St. Louis county), and southeast St. Louis County (Duluth-Superior) in northern Minnesota. The orthophotos are 0.3 meter ground sample distance (GSD) and are in UTM Zone 15, NAD83 (meters). The tiling format of the imagery is based on a 3.75' x 3.75' quarter quadrangle with a 150 meter buffer on all four sides. The dataset includes 614 digital orthophoto quarter quadrangles (DOQQs) in GeoTiff format with an associated world file, and this metadata file. The data is available online as a web mapping service (WMS). All imagery was collected by Keystone Aerial Surveys Inc with a Vexcel UltraCamX camera from an altitude of approximately 15,500 feet. All imagery was processed by Keystone using the camera manufacturer's software, Inpho's photogrammetry suite and Keystone-created software. Funding for this data was provided by the Minnesota Natural Heritage Fund, the Minnesota Clean Water Legacy Act, The Environmental and Natural Resources Trust Fund, St. Louis County, the Coastal Zone Management Program, and the National Geospatial Intelligence Agency.

Aerial imagery collected at 7.5cm resolution in urban areas in Larimer County, CO and delivered as a True Ortho product, meaning no visible seamlines or parallax (building lean).Vexcel's urban collection program uses award-winning UltraCam sensors to capture aerial imagery at the highest quality and consistency available. Imagery is matched against ground control points for enhanced accuracy. Up to 900 cities in the contiguous U.S. are captured on a regular basis, such as Los Angeles, New York City, Miami, Chicago, San Francisco, Boston, Seattle, Denver, Washington D.C., Salt Lake City, Phoenix, Dallas, Houston, Minneapolis, Philadelphia, Portland, San Antonio, San Diego, Indianapolis, Nashville, Las Vegas.Vexcel combines its vertical imagery with Digital Surface Model data for a more accurate, orthomosaic view of metro areas.

These raster and vector dataset were developed for the Sea Grant South Coast MPA Baseline Program as part of the project “Nearshore Substrate Mapping and Change Analysis using Historical and Concurrent Multispectral Imagery” (#R/MPA 30 10-049). The study region is the South Coast Region (SCR). Imagery was acquired on October 16, 2012 at a spatial resolution of 0.3 meters using a Microsoft UltraCam-X digital camera acquiring in the red, green, blue and near-infrared bands. Information on the UltraCam-X camera system and wavelengths for each ban can be found in the file "The Microsoft Vexcel UltraCam X.pdf" included in the Support folder on the image data delivery media and on the OceanSpaces.org server. This image mosaic product is a result of the resampling of the 0.3 meter data to 2 meter GSD. Details on this system and the data processing are below in the Lineage section of this document. Individual UCX image tiles were mosaicked into sections based on the islands covered and local coastal regions as well as the SCR MPA zones in order to generate this multispectral image product. These imagery were subsequently used to generate habitat classification thematic maps of the SCR's kelp beds from Point Conception to Imperial Beach, CA. The imagery files deliverd are in GeoTIFF format. More information on the classes resolved and processing methods are in the Lineage section of this document. This raster dataset contains a habitat classification of either offshore giant kelp beds along the California South Coast Region (SCR) from from Point Conception, CA down to Imperial beach, CA. This specific raster classification includes the South Point SMR and Skunk Point SMR. This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) and the Knowledge Network for Biocomplexity (KNB, https://knb.ecoinformatics.org/data) in 2013 as part of the South Coast baseline monitoring program. In 2022 this dataset was moved to the California Ocean Protection Council Data Repository (https://opc.dataone.org/) by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). At that time the GIS analysis products were added to the dataset. The long-term California MPA boundary and project info tables can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.

The mapping oblique camera market is experiencing robust growth, driven by increasing demand for high-resolution, three-dimensional mapping data across various sectors. Applications span infrastructure monitoring, urban planning, environmental management, and precision agriculture. The market's expansion is fueled by advancements in sensor technology, improved image processing capabilities, and the wider adoption of drones and unmanned aerial vehicles (UAVs) for data acquisition. This enables faster, more cost-effective data collection compared to traditional methods. While the initial investment in equipment might be substantial, the long-term return on investment is compelling due to the superior quality and detail of the generated maps, leading to better decision-making and operational efficiency. Key players in the market are continuously innovating, focusing on developing lighter, more portable cameras with enhanced functionalities such as improved image stabilization and wider field-of-view lenses, catering to a broader range of applications and user skill levels. Competitive pricing strategies and strategic partnerships are also contributing to market expansion. Despite the rapid growth, certain challenges remain. These include the complexities of data processing and analysis, requiring specialized software and expertise. Regulatory hurdles concerning airspace access and data privacy also pose limitations. However, ongoing developments in automated data processing and cloud-based solutions are mitigating these challenges, simplifying workflow and making oblique mapping more accessible to a wider user base. The overall market outlook remains positive, with projections suggesting continued growth over the next decade. We anticipate a steady increase in the adoption of oblique mapping technology across various industries as its benefits become increasingly apparent and accessible.

This imagery was acquired by Vexcel Imaging in support of NICB.This product is a preliminary set of ortho images (approximately 3" resolution) created from imagery acquired on 9/12/2017The flying and pre-processing was performed by Sanborn using a Vexcel Imaging UltraCam Eagle. Orthophotos are being generated from best available orientation and digital terrain models to ensure data is available as fast as possible to the organizations that need the data quickly. This tile cache version represents a snapshot of the imagery created on September 14th. Very limited color correction or seam-line mosaicking has been applied. It should be noted that much of the flying was done under adverse weather conditions, resulting in some limited image quality. The full resolution data (3”) that is orthorectified on the fly to provide full details and improved interpretation as well as oblique imagery is available to organizations involved Hurricane Harvey response. For more details see http://geointel.org/.

This raster dataset was developed for the Sea Grant South Coast MPA Baseline Program as part of the project “Nearshore Substrate Mapping and Change Analysis using This raster dataset was developed for the Sea Grant South Coast MPA Baseline Program as part of the project “Nearshore Substrate Mapping and Change Analysis using Historical and Concurrent Multispectral Imagery” (#R/MPA 30 10-049). The study region is the South Coast Region (SCR). Imagery was acquired on October 14, 2012 at a spatial resolution of 0.3 meters using a Microsoft UltraCam-X digital camera acquiring in the red, green, blue and near-infrared bands. Information on the UltraCam-X camera system and wavelengths for each ban can be found in the file "The Microsoft Vexcel UltraCam X.pdf" included in the Support folder on the image data delivery media and on the OceanSpaces.org server. This image mosaic product is a result of the resampling of the 0.3 meter data to 1 meter GSD. Details on this system and the data processing are below in the Lineage section of this document. Individual UCX image tiles were mosaicked into sections based on the islands covered and local coastal regions as well as the SCR MPA zones in order to generate this multispectral image product. These imagery were subsequently used to generate habitat classification thematic maps of the SCR's intertidal region and kelp beds from Point Conception to Imperial Beach, CA. The imagery files deliverd are in GeoTIFF format. This raster dataset contains a habitat classification of either offshore giant kelp beds and/or the intertidal zone along the California South Coast Region (SCR) from from Point Conception, CA down to Imperial beach, CA. This specific raster classification includes the Scorpion SMR. This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) and the Knowledge Network for Biocomplexity (KNB, https://knb.ecoinformatics.org/data) in 2013 as part of the South Coast baseline monitoring program. In 2022 this dataset was moved to the California Ocean Protection Council Data Repository (https://opc.dataone.org/) by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). At that time the GIS analysis products were added to the dataset. The long-term California MPA boundary and project info tables can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.

The imagery products described in this metadata record are not open data. By accepting the End-User Licence, you agree to become a licensee bound by the licence’s terms and conditions (please read the custom licence). - IMPORTANT UPDATE - The all new LIO Imagery Orders Web App is now here! Generate your DRAPE2019-2020 Ortho Tile or Stereo Frame lists using the app. For more information and to order imagery products please refer to the How to Order Imagery Guide and the Imagery Order Form.

Land Information Ontario coordinates public and private sector organizations to collect high resolution aerial imagery for Ontario through a partnership funding model. This aerial project is part of a five-year plan (2018-2022) to acquire 16 cm resolution, leaf-off imagery across the province.

Digital Raster Acquisition Project Eastern Ontario (DRAPE) was acquired in the spring of 2019/2020 under the best conditions possible to achieve cloud free, snow free, ice free, smoke free, and leaf off captures. The orthophotography has a pixel resolution of 16cm and is accurate to 45 centimetres on the ground at 95%. The imagery was acquired by an Vexcel UltraCam X and Vexcel UltraCamEagle digital cameras and was later orthorectified using an elevation dataset generated through image correlation.

Time of Capture: April 25th, 2019 to May 22nd, 2020 Coverage: 36,103 sq km Canopy Coverage: Leaf-Off (various stages of Leaf-On in some areas)

Available ProductsOrthorectified Tiles - 1km x 1km, Pansharpened, 16cm resolution, 8-bit, RGBNiR in .TIF format (150MB/tile) and a compressed tiled .TIF format (approx. 10MB/tile)Digital Raster Acqusition Project Eastern Ontario (DRAPE) 2019 - 1km Index (Shapefile) Stereo data - Vexcel UltraCam X and Vexcel UltraCamEagle frame based - 12 cm resolution, 16 bit, RGBNiR (sizes vary, please see index)

Digital Raster Acquisition Project Eastern Ontario (DRAPE) 2019 - Stereo Frame Index (Shapefile)

Additional ResourcesSample DRAPE 2019-2020 Imagery in uncompressed .TIFF formatImagery Order Form (.docx)Ontario Digital Imagery Licence (PDF)Imagery User Guide (.docx)

Status

Completed: Production of the data has been completed

Maintenance and Update Frequency

Not planned: There are no plans to update the data

Contact

Ontario Ministry of Natural Resources and Forestry - Spatial Data Support Unit, imageryorders@ontario.ca

This raster dataset was developed for the Sea Grant South Coast MPA Baseline Program as part of the project “Nearshore Substrate Mapping and Change Analysis using Historical and Concurrent Multispectral Imagery” (#R/MPA 30 10-049). The study region is the South Coast Region (SCR). Imagery was acquired on October 15, 2012 at a spatial resolution of 0.3 meters using a Microsoft UltraCam-X digital camera acquiring in the red, green, blue and near-infrared bands. Information on the UltraCam-X camera system and wavelengths for each ban can be found in the file "The Microsoft Vexcel UltraCam X.pdf" included in the Support folder on the image data delivery media and on the OceanSpaces.org server. This image mosaic product is a result of the resampling of the 0.3 meter data to 1 meter GSD. Details on this system and the data processing are below in the Lineage section of this document. Individual UCX image tiles were mosaicked into sections based on the islands covered and local coastal regions as well as the SCR MPA zones in order to generate this multispectral image product. These imagery were subsequently used to generate habitat classification thematic maps of the SCR's intertidal region and kelp beds from Point Conception to Imperial Beach, CA. The imagery files deliverd are in GeoTIFF format. This raster image dataset represents mosaicked, multi-spectral imagery in the red, green, blue and near-infrared (RGB,NIR) spectral bands, targeting giant kelp beds and the intertidal zone along the Southern California Coast region from Point Conception, CA down to Imperial beach, CA. This raster dataset includes the Lover's Cove SMCA and the Casino Point SMCA.