Description: Addresses in this data set originated from the address records that were maintained by the Flathead County Plat Room. Since inception of the address improvement program by Flathead County GIS addresses are assigned through this office. The address is primarily determined by the access to a property and is assigned to a parcel. The spatial location of the address point does not represent the physical location of the building. Address assignments within city limits are issued by the City of Columbia Falls, City of Whitefish and City of Kalispell and are immediately added to the existing address data.
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Description: The Montana Transportation Framework program uses a federated approach to combine data from various sources and integrate them into one seamless, standardized, uniformly formatted and attributed layer. Transportation data is a dynamic framework (new, upgraded and retired roads, name changes, new address ranges, etc.) and reflecting changes in statewide GIS is a challenging task. The State Library uses the federated approach for the creation and maintenance of transportation data where each data provider (tribe, federal, state, county, city, private) manage its datasets to suit their business needs and practices. The updated transportation data (features, geometries, attributes) is then forwarded to the State Library where it undergoes standardization and quality control/assurance processes. The framework then gets updated with new data and published online. Using data from local sources assures the best possible coverage across the state and ensures the best available data is centrally available. Railroads were created to be accurate according to Railroad companies and Rail in Transportation Planning. BNSF rail line has been GPS'd by BNSF, the remaining railroads were taken from the Rail network data set created by Bureau of Transportation Statistics. The Transportation Framework contains roads centerlines, ramps, bridges, railroads, trails and public airport features, along with address ranges and road attributes tables and relationship classes. This metadata document contains detailed descriptions of features in the Framework
Description: Incorporated cities within Flathead County.Incorporated city boundaries are obtained from individual municipalities, recorded with the Flathead County Clerk and Recorder Office, then digitized and adjusted to the parcel feature class by the Flathead County GIS Department.City boundaries will be updated as annexations occur, and adjusted as needed to the Flathead County GIS Department parcel feature class.
Copyright Text: Credit given to Flathead County GIS would be appreciated when deriving products from this data.
Description: <DIV STYLE="text-align:Left;"><DIV><P><SPAN>Microsoft says the building extraction was done in two stages:</SPAN><SPAN>1.Semantic Segmentation – Recognizing building pixels on the aerial image using DNNs</SPAN><SPAN>2.Polygonization – Converting building pixel blobs into polygons</SPAN></P><P><SPAN>We developed a method that approximates the prediction pixels into polygons making decisions based on the whole prediction feature space. This is very different from standard approaches, e.g. Douglas-Peucker algorithm, which are greedy in nature. The method tries to impose some of a priory building properties, which are, at the moment, manually defined and automatically tuned. Some of these a priori properties are:</SPAN></P><P><SPAN>1.The building edge must be of at least some length, both relative and absolute, e.g. 3 meters</SPAN><SPAN>2.Consecutive edge angles are likely to be 90 degrees</SPAN><SPAN>3.Consecutive angles cannot be very sharp, smaller by some auto-tuned threshold, e.g. 30 degrees</SPAN><SPAN>4.Building angles likely have very few dominant angles, meaning all building edges are forming angle of (dominant angle ± nπ/2)</SPAN></P><P><SPAN>In near future, we will be looking to deduce this automatically from existing building information. </SPAN><SPAN>We track various metrics to measure the quality of the output. Estimated building matching metrics:</SPAN><SPAN>Precision 99.3% </SPAN><SPAN>Recall 93.5% </SPAN><SPAN>Our metrics show that in the vast majority of cases the quality is at least as good as data hand digitized buildings in OpenStreetMap. It is not perfect, particularly in dense urban areas but it is still awesome.</SPAN></P><P><SPAN /></P></DIV></DIV>
Copyright Text: Credit given to Microsoft and Flathead County GIS would be appreciated when deriving products from this data.
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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer is comprised of differentially corrected GPS centerline positions for roads and driveways within Flathead County. On occasion, roads are digitized into this feature class prior to GPS data collection. This data contains "legal" (official) attributes maintained by the Flathead County Plat Room.</SPAN></P></DIV></DIV></DIV>