Statewide Parcel Project
Announcement of a new collaborative project with the Wisconsin Department of Administration to create Wisconsin’s first statewide digital parcel map to be made publicly available.
Announcement of a new collaborative project with the Wisconsin Department of Administration to create Wisconsin’s first statewide digital parcel map to be made publicly available.
After more than two years of work, new statewide land cover products are now available for download from the Wisconsin Department of Natural Resources.
Wisconsin Department of Administration and State Cartographer’s Office release Version 2 Statewide Parcel Map Database for public distribution
The Wiscland 2 project is moving forward with more detailed maps after receiving positive feedback on the initial Level 1 product delivery in January. As the maps get more complex there are new challenges, but the initial results are very promising.
There is still a lot of work to be done before the final product is finished in the summer of 2016, but initial accuracy results show overall accuracy exceeds 90 percent for this draft product.
The SCO has released a suite of ArcPy tools to handle the most common hurdles to parcel data submission.
The fieldwork season has wrapped up and the Wiscland 2 team is now making maps! Between the beginning of June and end of August, DNR field crews gathered over 16,000 additional sample points representing the current land cover of our state.
The Version 1 Statewide Parcel Database, the state’s first publically available statewide digital parcel map, is now available online.
Thanks to all who attended the V1 Interim Report Webinar. We had a great turn-out with a total of 72 attendees and we received about 22 different questions from the audience.
The DOA and SCO will host a joint webinar discussing the Version 1 Statewide Parcel Map Interim Report on July 16th. The webinar will provide a brief overview of the interim report, the searchable format for parcel data, and the benchmark recommendations for future parcel dataset development and improvement.