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<idPurp>This project established digital, 4-band orthoimagery for Oconto County as a part of the Wisconsin Regional Orthoimagery Consortium (WROC).</idPurp>
<idAbs>Ayres Associates provided Oconto County, Wisconsin with digital, 4-band orthoimagery services in 2022 as part of WROC. The aerial imagery was collected on April 27th and May 4th using a Leica Geosystems DMC III sensor mounted in a fixed-wing aircraft. Aerial imagery was collected to support 0.5 foot ground sample distance (GSD) orthoimagery to meet ASPRS Class II horizontal accuracy specifications at 1"=100' map scale. The 6-inch pixel orthoimagery that was produced meets or exceeds a horizontal accuracy of 1.4 feet RMSE according to ASPRS Positional Accuracy Standards for Geospatial Data, 2014. Resultant orthoimgaery was rectified to a DEM surface created from existing LiDAR data acquired in 2019. Orthoimagery was delivered in PLSS section GeoTiff and MrSID tiles and a project wide MrSID mosaic. The orthoimagery was delivered according to a section tile schematic. Supplemental Information: The Wisconsin Regional Orthoimagery Consortium (WROC) is a multi-entity group of county members and partners led by representatives from Ayres Associates and the North Central Wisconsin Regional Planning Commission (NCWRPC). The goal of the consortium is to build and sustain a multi-participant program to acquire digital orthoimagery and elevation data throughout Wisconsin. Orthoimagery was collected for Oconto County in 2022 to provide consistent deliverable products and accuacy standards for each of the participating entities.</idAbs>
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<measDesc>These data cover the entirety of the 2022 Oconto County WROC program.</measDesc>
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<stepDesc>Ground control consisted of photo identifable surveyed points. The imagery was collected using a Leica Geosystems DMC III sensor at 14.5cm GSD. Image quality was verified during the post flight review phase. Factors considered during this review included, but were not limited to, the presence of cloud cover, contrails, light conditions and sun flare. A rigorous Aerotriangulation process was performed and supplemented by the photo ID survey points. The triangulated strips were rectified to a DEM surface created from existing LiDAR data acquired in 2019. The imagery was mosaicked using manual seamlines generation and tone/color balanced to a project wide consistency. PLSS section RGBN tiles were extracted from the mosaic and each individual tiles was reviewed for artifcats and anomalies and adjusted as part of quality control procedures. The images were reviewed for rectification problems such as bridge displacements and seamline issues caused by the underlying digital elevation model. When necessary, local corrections to the imagery were performed to minimize such effects.</stepDesc>
<stepDateTm>2022-10-15T00:00:00</stepDateTm>
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<report dimension="horizontal" type="DQRelIntPosAcc">
<measDesc>Oconto County collected 35 independent horizontal check points as part of the quality control process. Results: 0.97302' RMSE against a 2.4' RMSE specification resulting in a tested horizontal accuracy of 1.684' at the 95% confidence level for well defined locations.</measDesc>
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