Aerial imagery for Polk County captured in 2019 by EagleView Pictometry.

Imagery captured and processed by Pictometry of East Baton Rouge Parish, Louisiana. The flights took place during February and March of 2017 at a resolution of six inches (6").

description: This layer depicts the status, or degree of disturbance, to plant communities on the main Hawaiian Islands. Several layers were uset to create this version (v 3.4). The original HabQual layer was developed by Jon Price and Jim Jacobi based on the mapped land cover units from the Hawaii GAP analysis program (Gon et al. 2006). This map was revised by combining data on land use and the Bare category from the NOAA C-CAP 2005 map (NOAA National Ocean Service Coastal Services Center 2012), and adding road corridors to the heavily disturbed category based on the Tiger Roads layer (United States Census Bureau 2014). Additionally, corrections were made to this version of the map by visually inspecting previously mapped units and comparing them to recent high-resolution imagery including WorldView 2 multi-spectral imagery and to very-high resolution RGB imagery obtained from Pictometry Online (Pictometery International 2014). Changes were made to the map using the program GRID Editor developed by ARIS B.V. (2014) by Jim Jacobi. Latest edits made in September 2014.The starting raster "Habqual" was developed by Jim Jacobi, USGS PIERC. The bare earth category came from NOAA's CCAP dataset and was used to overwrite the original Habqual dataset for categories 2 & 3 (native and mixed). If Habqual was already distrubed (category = 1), then it was NEVER overwritten as bare earth; instead it remained classified as disturbed. Lastly, the TIGER roads layer was buffered and converted into a raster of category 1 (distrubed). The roads raster was then mosaic'ed on top of Habqual to expand the distrubed class to include roads & adjacent disturbed areas.This layer has four mapped values: 1 = heavily disturbed areas including agriculture and urban developments; 2 = mixed native-alien dominated plant communities; 3 = native dominated vegetation; and 4 = bare lands or <5% plant cover.ReferencesARIS B.V. 2014, GRID Editor for ArcMap. ARIS B.V., Netherlands. http://www.aris.nl/index.php?option=com_content&view=article&id=68&Itemid=211Gon, S. M., III, A. Allison, R. J. Cannarella, J. D. Jacobi, K. Y. Kaneshiro, M. H. Kido, M. Lane-Kamahele, and S. E. Miller. 2006. The Hawaii GAP Analysis Final Report. Report, U.S. Department of Interior, U.S. Geological Survey. 162 p plus tables, figures, maps, and appendices.NOAA National Ocean Service Coastal Services Center. 2012. C-CAP Hawaii 2005 Land Cover Map. NOAA's Ocean Service, Coastal Services Center, Charleston, SC USA. http://www.csc.noaa.gov/digitalcoast/data/ccapregional. Pictometery International. 2014, Pictometry Online. Pictometry International Corp., Rochester NY. http://www.pictometry.com/index.php?option=com_content&view=article&id=84&Itemid=93United States Census Bureau. 2014, TIGER/Line Shapefiles and TIGER/Line Files. U.S. Department of Commerce. https://www.census.gov/geo/maps-data/data/tiger-line.html; abstract: This layer depicts the status, or degree of disturbance, to plant communities on the main Hawaiian Islands. Several layers were uset to create this version (v 3.4). The original HabQual layer was developed by Jon Price and Jim Jacobi based on the mapped land cover units from the Hawaii GAP analysis program (Gon et al. 2006). This map was revised by combining data on land use and the Bare category from the NOAA C-CAP 2005 map (NOAA National Ocean Service Coastal Services Center 2012), and adding road corridors to the heavily disturbed category based on the Tiger Roads layer (United States Census Bureau 2014). Additionally, corrections were made to this version of the map by visually inspecting previously mapped units and comparing them to recent high-resolution imagery including WorldView 2 multi-spectral imagery and to very-high resolution RGB imagery obtained from Pictometry Online (Pictometery International 2014). Changes were made to the map using the program GRID Editor developed by ARIS B.V. (2014) by Jim Jacobi. Latest edits made in September 2014.The starting raster "Habqual" was developed by Jim Jacobi, USGS PIERC. The bare earth category came from NOAA's CCAP dataset and was used to overwrite the original Habqual dataset for categories 2 & 3 (native and mixed). If Habqual was already distrubed (category = 1), then it was NEVER overwritten as bare earth; instead it remained classified as disturbed. Lastly, the TIGER roads layer was buffered and converted into a raster of category 1 (distrubed). The roads raster was then mosaic'ed on top of Habqual to expand the distrubed class to include roads & adjacent disturbed areas.This layer has four mapped values: 1 = heavily disturbed areas including agriculture and urban developments; 2 = mixed native-alien dominated plant communities; 3 = native dominated vegetation; and 4 = bare lands or <5% plant cover.ReferencesARIS B.V. 2014, GRID Editor for ArcMap. ARIS B.V., Netherlands. http://www.aris.nl/index.php?option=com_content&view=article&id=68&Itemid=211Gon, S. M., III, A. Allison, R. J. Cannarella, J. D. Jacobi, K. Y. Kaneshiro, M. H. Kido, M. Lane-Kamahele, and S. E. Miller. 2006. The Hawaii GAP Analysis Final Report. Report, U.S. Department of Interior, U.S. Geological Survey. 162 p plus tables, figures, maps, and appendices.NOAA National Ocean Service Coastal Services Center. 2012. C-CAP Hawaii 2005 Land Cover Map. NOAA's Ocean Service, Coastal Services Center, Charleston, SC USA. http://www.csc.noaa.gov/digitalcoast/data/ccapregional. Pictometery International. 2014, Pictometry Online. Pictometry International Corp., Rochester NY. http://www.pictometry.com/index.php?option=com_content&view=article&id=84&Itemid=93United States Census Bureau. 2014, TIGER/Line Shapefiles and TIGER/Line Files. U.S. Department of Commerce. https://www.census.gov/geo/maps-data/data/tiger-line.html

A web map with 2019 Aerial Imagery for use as a basemap in web map and applications. This imagery was flown in the late winter/ early spring of 2019 by Pictometry/ Eagle View.

Basemap Map View of Aerial Photo of the Fairbanks North Star Borough flown by Eagle View (Pictometry) in 2023.

An orthophoto is an aerial photograph that has been processed (via a scanning and rectification process) in such a way as to eliminate image displacement due to camera tilt and terrain relief, so that it represents every object as if viewed directly from above, as in a map which is usually in an orthographic projection. An orthophoto combines the visual properties of a photograph with the geometric qualities of a map and offers a realistic visualization of the landscape. The City's orthophoto coverage includes the City, UBC, and the University Endowment Lands and parts of Richmond and the Vancouver International Airport (YVR) as well. As such, it exceeds the area defined by the City's facet grid (see Facet Grid Boundaries). The 2015 orthophotos are our highest resolution imagery to date (7.5 cm). These were acquired as part of the Pictometry image collection. Their quality, colour, sharpness, and positional accuracy are very high. Data currency The 2015 orthophotos were captured in multiple days (April 9, 10, May 9 and July 17, 2015). This imagery is current as of these dates. Data accuracyImagery is accurate as of the dates it was taken although colours may or may not be exactly as occurred on that day as colours change from moment to moment due to sun and cloud cover.

The planimetric data was compiled by The James Sewell Company and is based on an aerial flight performed in April 2006. In addition, the City's GIS staff has been updating limited planimetric features based on information on file in various City departments. The planimetric data has also been updated in 2009 and yearly beginning in 2011 to current based on fall aerial flights by Pictometry International and spring flights from EagleView starting 2016.

2014 Pictometry Orthoimagery used for basemap. Further details can be found in the item description.

Contains a compilation of the following imagery projects -Pictometry 2024PAG 2023NAIP 2023

Abstract: This dataset consists of ortho imagery produced from nadir images captured by Pictometry International covering the City of Philadelphia, PA, approximately 196 sq miles total. Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a LiDAR derived DEM. Mosaicing was performed using an automatic seaming algorithm and manually edited to eliminate seams through elevated features where possible. The dataset includes 1024 GeoTIFF files, 1 ECW, and 1 MrSID file. The data was collected at a 3in Ground Sample Distance (GSD) over between April 12 and May 8th, 2015. At the time of capture ground condiitons were leaf-off, snow free, and water was at normal levels. Data Development: GPS/INS Processing: During the flight, GPS and INS data was logged on board the aircraft. Simultaneously, GPS data was logged by a stationary reference station network on the ground. After completion of the flight, this data was post-processed using Applanix POSPac v7.1 to generate a smoothed best estimate trajectory (SBET). AeroTriangulation: Imagery was aerotriangulated using Inpho's Match-AT v6.1. Rectification: Ortho-rectification was performed using Inpho's OrthoMaster v6.1. A LiDAR derived DEM was used as the rectification surface. Mosaicing: Mosaiking was performed using Inpho's OrthoVista v6.1 and SeamEditor was employed for manual corrections. Key attribute field names and descriptions: N/A Coordinate system: North American Datum 1983, State Plane Pennsylvania South (FIPS 3702), US Survey Feet Thematic mapping: N/A Other Information: Source: Pictometry International Corp. Date: 2015

The shoreline of the Texas Coast was digitized and classified to create an environmental sensitivity index (ESI) dataset. The shoreline was mapped using 2009 Texas Orthoimagery Project (TOP) 0.5m imagery at a scale of 1:2,000, followed by ESI ranking of the entire shoreline based on the 2009 TOP imagery, 2008-2013 low-altitude oblique and orthometric aerial photography from Pictometry, Inc., 2011 low-altitude oblique aerial photography from Red Wing Aerials, and field observations.

description:

Digital orthophotography, 4-inch pixel resolution covering Fargo, North Dakota and vicinity. Pictometry International produced this digital color orthophotography of 4-inch resolution for the 2015 Fargo Digital Mapping project. The imagery was collected April 1-11, 2015.

Constraints:
Not to be used for navigation, for informational purposes only. See full disclaimer for more information

Digital orthophotography, 4-inch pixel resolution covering Fargo, North Dakota and vicinity. Pictometry International produced this digital color orthophotography of 4-inch resolution for the 2015 Fargo Digital Mapping project. The imagery was collected April 1-11, 2015.

Constraints:
Not to be used for navigation, for informational purposes only. See full disclaimer for more information

Tacoma 2012 - 4 inch Aerials for ArcGIS Online/Bing Maps/Google Maps, etc.Contact Info: Name: GIS Team Email: GISteam@cityoftacoma.orgCompany: Pictometry International Corp.Title: WA City of Tacoma 2012 Accuplus ProjectFlight Height: 3,500 feetFlight Dates: Between May 6th, 2012 and May 7th, 2012Dataset is orthoimagery. Logical consistency is not applicable.The 2012 City of Tacoma, WA Orthogonal data associated with this metadata file completely covers the project-specified boundary.GPS/INS processing: Data was post-processed using NGS CORS base station data.AeroTriangulation: Imagery was aerotriangulated using Inpho's Match-AT software.Rectification: Ortho-rectification was performed using Inpho's OrthoMaster software. A LiDAR based DEM was used as the rectification surface.Mosaicing: Mosaiking was performed using Inpho's OrthoVista software and SeamEditor was employed for manual corrections.Original ArcGIS coordinate system: Type: Projected Geographic coordinate reference: GCS_North_American_1983_HARN Projection: NAD_1983_HARN_StatePlane_Washington_South_FIPS_4602_Feet Well-known identifier: 2927Geographic extent - Bounding rectangle: West longitude: -122.570169 East longitude: -122.334799 North latitude: 47.323225 South latitude: 47.154908Extent in the item's coordinate system: West longitude: 1127000.000000 East longitude: 1184000.000000 South latitude: 671000.000000 North latitude: 731000.000000

[Metadata] Carbon Assessment of Hawaii - Habitat Status. This layer depicts the status, or degree of disturbance, to plant communities on the main Hawaiian Islands. Several layers were used to to create this version (v 3.4). The CAH Land Cover Map was produced to serve as a base map for estimating current and future carbon stocks for the main Hawaiian Islands as part of the U.S. Geological Survey's national carbon assessment.

The original HabQual layer was developed by Jon Price and Jim Jacobi based on the mapped land cover units from the Hawaii GAP analysis program (Gon et al. 2006). This map was revised by combining data on land use and the “Bare” category from the NOAA C-CAP 2005 map (NOAA National Ocean Service Coastal Services Center 2012), and adding road corridors to the heavily disturbed category based on the Tiger Roads layer (United States Census Bureau 2014). Additionally, corrections were made to this version of the map by visually inspecting previously mapped units and comparing them to recent high-resolution imagery including WorldView 2 multi-spectral imagery and to very-high resolution RGB imagery obtained from Pictometry Online (Pictometery International 2014). Changes were made to the map using the program GRID Editor developed by ARIS B.V. (2014) by Jim Jacobi. Latest edits made in September 2014. For more information, please see complete metadata at https://files.hawaii.gov/dbedt/op/gis/data/cah_habitat_status_poly.html or contact the Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii, PO Box 2359, Honolulu, HI 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis/.

CONNECT ImageService CAConnect Image Service - CA (Custom Access) provides access via a secure web mapping service to existing orthomosaics available within Customer’s Connect account. This service allows use by Customer each calendar month of a total number of image request transactions equal to the product resulting from multiplying (a) the number of concurrent users authorized to use the Connect Image Service pursuant to this Agreement, by (b) 1500 (such product being the “Monthly Image Request Limit”). To the extent use of the Connect Image Service pursuant to this Agreement results in a total number of image request transactions in excess of the Monthly Image Request Limit, Pictometry may review the usage with customer, increase the price for Customer’s Connect Image Service with Customer’s consent or, in Pictometry’s discretion, suspend further access by Customer to the Connect Image Service. This offering is provided solely for internal use within Customer’s organization. Customer must maintain an active paid Pictometry Connect account in order to utilize the Connect Image Service.

[Metadata] 2012 Maui Island Plan Boundaries - Protected Areas Layer. Source: Maui County Planning Department, August 2022. See also Maui Island Plan Agricultural Preserves, Maui Island Plan Growth Areas, Maui Island Plan Growth Boundaries layers.Maui Island Plan Growth Boundaries adjusted to Maui County Finance Department Real Property Assessment Division’s daily parcels early 2022. Some boundaries match Real Property Assessment’s 2022 parcel release but some are aligned to parcels which were refined after that release. Maui Island Plan was passed in 2012. Growth Boundaries, Growth Areas, Protected Areas, and Agricultural Preserves are defined by documents available here: https://www.mauicounty.gov/1503/Maui-Island-Plan. GIS layers are based on the documents but are aligned to match features like parcels, roads, and boundaries visible on Pictometry imagery. For additional information, please refer to metadata at https://files.hawaii.gov/dbedt/op/gis/data/maui_island_plan.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

CONNECT ImageService CAConnect Image Service - CA (Custom Access) provides access via a secure web mapping service to existing orthomosaics available within Customer’s Connect account. This service allows use by Customer each calendar month of a total number of image request transactions equal to the product resulting from multiplying (a) the number of concurrent users authorized to use the Connect Image Service pursuant to this Agreement, by (b) 1500 (such product being the “Monthly Image Request Limit”). To the extent use of the Connect Image Service pursuant to this Agreement results in a total number of image request transactions in excess of the Monthly Image Request Limit, Pictometry may review the usage with customer, increase the price for Customer’s Connect Image Service with Customer’s consent or, in Pictometry’s discretion, suspend further access by Customer to the Connect Image Service. This offering is provided solely for internal use within Customer’s organization. Customer must maintain an active paid Pictometry Connect account in order to utilize the Connect Image Service.WMS: https://svc.pictometry.com/Image/86DC4F54-1D61-9C38-3482-4B7B868A7A45/wms

WMTS (Recommended): https://svc.pictometry.com/Image/86DC4F54-1D61-9C38-3482-4B7B868A7A45/wmts

TMS: https://svc.pictometry.com/Image/86DC4F54-1D61-9C38-3482-4B7B868A7A45/tms

Buncombe County building footprints derived from 2023 pictometry

This imagery was collected by Pictometry for the Bowling Green-Warren County, Kentucky area immediately following the December 2021 EF-3 tornado.

The Los Angeles County Office of Sustainability funded the development of this dataset in order to support the identification of potential locations for the installation of solar photovoltaic canopy modules across the County on commerical, industrial, and government properties. This dataset contains the boundaries of parking lots 5,000 square feet or greater.Pictometry International Corp used the 2014 LARIAC orthogonal imagery to delineate the boundaries of these parking lots. A parking lot was defined as a paved area for parking, incluse of internal median areas.The data did NOT include:rootop parking lots,non-paved parking lots,sidewalks and curbs,school playgrounds,structures that were within the parking lotLandscaping at the edges of parking lotsParcel informationOnce the boundaries were received, LA County intersected the parking lots with the December 2014 LA County Assessor Parcel file in order to add parcel ID and parcel use information. This will enable parking lot square footage to be reported for an individual parcel, as well as by the parcel type.