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

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

Proprietary building footprints data created and derived from Vexcel’s Urban Area program, an aircraft-based collection of ultra-high resolution aerial imagery and digital surface models. Along with building footprints, detailed additional property-level attributes are provided such as swimming pools, trampolines, solar panels, vegetation types, roof types, building materials, and more.

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.

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 aerial mapping camera market is experiencing robust growth, driven by increasing demand across diverse sectors like construction, agriculture, and environmental monitoring. Technological advancements, particularly in sensor technology (higher resolution, multispectral, hyperspectral capabilities) and drone integration, are significantly impacting market expansion. The ease of data acquisition, processing, and analysis offered by these integrated systems is attracting a wider range of users, leading to higher adoption rates. Furthermore, the decreasing cost of drones and associated software is making aerial mapping more accessible to smaller businesses and individual operators, fueling market growth. We estimate the market size in 2025 to be around $500 million, based on reasonable assumptions about growth trends in related technologies and considering the established presence of key players like Vexcel Imaging and Leica Geosystems. A conservative Compound Annual Growth Rate (CAGR) of 15% is projected for the forecast period (2025-2033), indicating substantial future expansion. However, market growth is not without challenges. Regulatory hurdles surrounding drone operations and data privacy concerns remain significant obstacles in certain regions. The complex technical expertise required for effective data processing and interpretation can also limit market penetration. Despite these restraints, the long-term outlook for the aerial mapping camera market remains positive, fueled by ongoing technological innovation and the increasing reliance on precise geospatial data across various industries. The emergence of advanced analytics capabilities and the integration of AI/ML into data processing pipelines will further stimulate market demand and open up new applications in the coming years. Competition is expected to intensify amongst established players and emerging companies offering innovative solutions.

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 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 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/.

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 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 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 ALong Point SMR, Blue Cavern SMCA and Arrow point to Lion Head Point SMCA. 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.

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. 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 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 Painted Cove SMCA.

Digital Surface Model of parts of Maui and Molokai. Partial coverage Vexcel, Inc. LIDAR of Maui and Molokai were purchased by County of Maui to assist with three-dimensional modeling of structures in areas of higher development. 1'/px, LIDAR-derived, digital surface elevation raster of parts of Maui and Molokai – specifically, Central Molokai, Kahului, Kihei, Lahaina and Pukalani. XY units: feet, Z units: meters. Use Limitations: 1.Disclaimer - This dataset is being placed in the public domain. Any use is allowed except for re-sale. Neither Vexcel, Inc., the County of Maui, nor the State of Hawaii make any guarantees, expressed or implied, regarding its accuracy or fitness of use. Users should verify XYZ values through a licensed surveyor for any engineering application. This data should only be used as a guide, vs. a statement of fact regarding real-world conditions. 2.Vertical Datum - The originator of this LIDAR dataset, Vexcel Inc. of Boulder, Colorado referenced Z values to the North American Vertical Datum of 1988 (NAVD88). NAVD88 is not recognized as a valid vertical reference for the state of Hawaii. Currently Hawaii has no official (de jure or de facto) vertical datum, and NOAA's National Geodetic Survey (NGS) recommends that elevations be referenced to the nearest NOAA tidal gauge. A legacy LIDAR dataset produced in 2013 by the United States Army Corps of Engineers (USACE) used NAD83(PA11) as its vertical reference. In theory this approach should result in better accuracy for the Z dimension as PA11 is a Pacific plate-centric datum. In comparing flat areas containing neither structures or vegetation, it was found that the Vexcel values sit approximately 4 feet above the USACE dataset. The vertical datum issue was brought to the attention of Vexcel, Inc. Vexcel used the 2013 USACE LIDAR as vertical control to correct their LIDAR data. The (corrected) .las data is shared as it was delivered. As stated above, the use of this data transfers all risks and assumption of responsibility to the user For more information see https://files.hawaii.gov/dbedt/op/gis/data/Maui_2019_DSM.html or contact County of Maui at GISMonitor@co.maui.hi.us or Hawaii Statewide GIS Program at gis@hawaii.gov.

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 December 09, 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 Santa Barbara Island SMR.

This orthophotography dataset was created for the City of Eureka, California as a seamless 1.5-inch pixel resolution orthorectified aerial imagery dataset covering approximately 105 square miles of the city and its environs. The origin imagery was collected on June 16th, 2023 as a 36-bit RGB+NIR spectrum acquisition using an UltraCam digital camera system. Associated ground control was captured by a California Certified PLS and a recent LiDAR digital elevation model was utilized for vertical reference. All data was acquired and processed in California Zone 1 State Plane, NAD83(2011), NAVD88 in US Survey Feet. Deliverables included 4-BAND (RGB+NIR) TIFF tiles, JP2 1:25 compressed tiles and JP2 1:25 compressed mosaic. For this dataset original .tiff tiles(1.5 gb) were saved as .jp2 tiles with 14% compression(239 mb) then added to mosaic raster geodatabase. A raster tile package with 75% compression quality was created from a mosaiced raster geodatabase and uploaded to ArcGIS Online as a tile layer.Accuracy of both airborne GPS and surveyed ground control are evaluated through the bundle adjustment. Digital acquisition frames are visually assessed for any abnormalities in color and quality. A 'blunder detection' phase is utilized during the AT process to ensure comprehensive tolerance. Quality control for the surface model includes a comprehensive quantitative analysis, a independent spot assessment, and a final qualitative analysis in completed with a visual review.The referenced source imagery utilized an original digital surface model derived LiDAR supported by surveyed ground control and airborne GPS and IMU data. Quality Control procedures included manual assessments of automated results and visual association during the production process. Quality Control procedures included manual assessments of automated results and visual assessments during the production process. The AT adjustment process positively identifies any point that is out of tolerance with other values in the block. Out of tolerance points are promptly identified due to a survey error, a point coding error or a measurement error. These errors are detected during the preliminary adjustments and corrected for the final adjustment.UltraCam acquisition frames were processed as Level 3 images using Vexcel UltraMap Software. Surveyed ground control and ABGPS control support the Aerial Triangulation process using Intergraph ISAT and Z/I software. An original surface model was generated. The digital orthorectified imagery was then generated based on this methodology and mosaicked as a seamless imagery coverage.

This orthophotography dataset was created for the City of Eureka, California as a seamless 1.5-inch pixel resolution orthorectified aerial imagery dataset covering approximately 105 square miles of the city and its environs. The origin imagery was collected on June 16th, 2023 as a 36-bit RGB+NIR spectrum acquisition using an UltraCam digital camera system. Associated ground control was captured by a California Certified PLS and a recent LiDAR digital elevation model was utilized for vertical reference. All data was acquired and processed in California Zone 1 State Plane, NAD83(2011), NAVD88 in US Survey Feet. Deliverables included 4-BAND (RGB+NIR) TIFF tiles, JP2 1:25 compressed tiles and JP2 1:25 compressed mosaic. For this dataset original .tiff tiles(1.5 gb) were saved as .jp2 tiles with 14% compression(239 mb) then added to mosaic raster geodatabase. A raster tile package with 75% compression quality was created from a mosaiced raster geodatabase and uploaded to ArcGIS Online as a tile layer.Accuracy of both airborne GPS and surveyed ground control are evaluated through the bundle adjustment. Digital acquisition frames are visually assessed for any abnormalities in color and quality. A 'blunder detection' phase is utilized during the AT process to ensure comprehensive tolerance. Quality control for the surface model includes a comprehensive quantitative analysis, a independent spot assessment, and a final qualitative analysis in completed with a visual review.The referenced source imagery utilized an original digital surface model derived LiDAR supported by surveyed ground control and airborne GPS and IMU data. Quality Control procedures included manual assessments of automated results and visual association during the production process. Quality Control procedures included manual assessments of automated results and visual assessments during the production process. The AT adjustment process positively identifies any point that is out of tolerance with other values in the block. Out of tolerance points are promptly identified due to a survey error, a point coding error or a measurement error. These errors are detected during the preliminary adjustments and corrected for the final adjustment.UltraCam acquisition frames were processed as Level 3 images using Vexcel UltraMap Software. Surveyed ground control and ABGPS control support the Aerial Triangulation process using Intergraph ISAT and Z/I software. An original surface model was generated. The digital orthorectified imagery was then generated based on this methodology and mosaicked as a seamless imagery coverage.

Produced by: Access Geographic, LLCAcquisition Date: 7/24/2019This orthophotography dataset was created for the City of Eureka, California as a seamless 1.5-inch pixel resolution orthorectified aerial imagery dataset covering approximately 105 square miles of the city and its environs. The origin imagery was collected on July 24th, 2019 as a 36-bit RGB+NIR spectrum acquisition using an UltraCam digital camera system. Associated ground control was captured by a California Certified PLS and a recent LiDAR digital elevation model was utilized for vertical reference. All data was acquired and processed in California Zone 1 State Plane, NAD83(2011), NAVD88 in US Survey Feet. Deliverables included 4-BAND (RGB+NIR) TIFF tiles, JP2 1:25 compressed tiles and JP2 1:25 compressed mosaic. This dataset was created as a geospatial visualization and planning tool for the City of Eureka & Arcata, California.Accuracy of both airborne GPS and surveyed ground control are evaluated through the bundle adjustment. Digital acquisition frames are visually assessed for any abnormalities in color and quality. A 'blunder detection' phase is utilized during the AT process to ensure comprehensive tolerance. Quality control for the surface model includes a comprehensive quantitative analysis, a independent spot assessment, and a final qualitative analysis in completed with a visual review.</The referenced source imagery utilized an original digital surface model derived LiDAR supported by surveyed ground control and airborne GPS and IMU data. Quality Control procedures included manual assessments of automated results and visual association during the production process. Quality Control procedures included manual assessments of automated results and visual assessments during the production process. The AT adjustment process positively identifies any point that is out of tolerance with other values in the block. Out of tolerance points are promptly identified due to a survey error, a point coding error or a measurement error. These errors are detected during the preliminary adjustments and corrected for the final adjustment.UltraCam acquisition frames were processed as Level 3 images using Vexcel UltraMap Software. Surveyed ground control and ABGPS control support the Aerial Triangulation process using Intergraph ISAT and Z/I software. An original surface model was generated. The digital orthorectified imagery was then generated based on this methodology and mosaicked as a seamless imagery coverage.

Digital Terrain Model (bare earth) of parts of Maui and Molokai. Partial coverage Vexcel, Inc. LIDAR of Maui and Molokai were purchased by County of Maui to assist with three-dimensional modeling of structures in areas of higher development. 1'/px, LIDAR-derived, bare earth DEM/elevation raster of parts of Maui and Molokai – specifically, Central Molokai, Kahului, Kihei, Lahaina and Pukalani. XY units: feet, Z units: meters. Use Limitations: 1.Disclaimer - This dataset is being placed in the public domain. Any use is allowed except for re-sale. Neither Vexcel, Inc., the County of Maui, nor the State of Hawaii make any guarantees, expressed or implied, regarding its accuracy or fitness of use. Users should verify XYZ values through a licensed surveyor for any engineering application. This data should only be used as a guide, vs. a statement of fact regarding real-world conditions. 2.Vertical Datum - The originator of this LIDAR dataset, Vexcel Inc. of Boulder, Colorado referenced Z values to the North American Vertical Datum of 1988 (NAVD88). NAVD88 is not recognized as a valid vertical reference for the state of Hawaii. Currently Hawaii has no official (de jure or de facto) vertical datum, and NOAA's National Geodetic Survey (NGS) recommends that elevations be referenced to the nearest NOAA tidal gauge. A legacy LIDAR dataset produced in 2013 by the United States Army Corps of Engineers (USACE) used NAD83(PA11) as its vertical reference. In theory this approach should result in better accuracy for the Z dimension as PA11 is a Pacific plate-centric datum. In comparing flat areas containing neither structures or vegetation, it was found that the Vexcel values sit approximately 4 feet above the USACE dataset. The vertical datum issue was brought to the attention of Vexcel, Inc. Vexcel used the 2013 USACE LIDAR as vertical control to correct their LIDAR data. The (corrected) .las data is shared as it was delivered. As stated above, the use of this data transfers all risks and assumption of responsibility to the user. For more information see https://files.hawaii.gov/dbedt/op/gis/data/Maui_2019_DTM.html or contact County of Maui at GISMonitor@co.maui.hi.us or Hawaii Statewide GIS Program at gis@hawaii.gov.

Orthophotographie couleur (RVB) en projection Lambert-93 et CC46 sur la Métropole de Lyon (593 km²) à la résolution de 5 cm et d'une précision planimétrique de 10 cm.

L'image est mise à disposition au format Cloud-Optimized GeoTIFF (COG) avec une compression JPEG (Q = 50).

La prise de vues aériennes a été réalisée par GEOFIT, en 2 temps:

• entre juillet et août 2023, utilisation des caméras Vexcel UltraCam Osprey 4.1 et Vexcel Ultracam Eagle Mark M3 - focales 120 mm (oblique) et 80mm (nadir)
• en septembre 2024 sur le secteur du Mont Verdun, utilisation de la caméra Vexcel UltraCam Eagle M3 - focale 120 mm (nadir)

Ce fond de plan très grande échelle a été acquis dans le cadre d'un groupement de commande entre le CRAIG et la Métropole de Lyon.

Cette opération a été cofinancée par l’Union européenne dans le cadre du programme FEDER.

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 November 13, 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 La Jolla SMR and Cabrillo SMR.