The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth?s surface using the State Plane coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.
Boundaries of legal units of land division as inventoried by the Mat-Su Borough Assessment Division. Boundaries are established from a variety of sources including cadastral plats, patents, subdivision plats, deeds, land contracts, right-of-way plats, and others. Each feature represents a parcel of land that is inventoried by a unique identifier, referred to as an “account” or (“taxid”) number. This dataset also includes multi-unit structures which have separate tax accounts for each unit, such as condominium units, mobile home parks, and business parks. Generalized land ownership is also represented in this dataset. Several fields have corresponding data sets which further explain the codes in the fields (e.g. For ESN code explanations reference the ESN data set.)
Base map page boundaries of the Mat-Su Borough Tax Map Page Index. The entire Borough is divided into a series of "base maps" and "index" or "grid maps". Base maps are given names that represent the geographical area represented (similar to USGS quad mapping) and index maps are numbered sequentially within the base map. The result is a base map with a two-character name (for example: ("WA" for Wasilla) and numbered index maps (usually numbered "1" thru "16"). The Mat-Su Borough tax map set is published using these pages. Furthermore, data such as the PARCELS coverages are divided into smaller files based on map page and later appended together to form one seamless file as part of the data processing procedures.
Text/descriptions associated with right of way and easements derived from the Mat-Su Borough Tax Maps. This is not an all-inclusive dataset and does not represent every ROW and easement in the Mat-Su Borough.
Right of way and easements derived from the Mat-Su Borough Tax Maps. This is not an all-inclusive dataset and does not represent every ROW and easement in the Mat-Su Borough.
This service combines parcel data from various local government bodies in Alaska and describes a subset of input fields using consistent field names. This service was designed for use in statewide applications that only require specific types of land parcel information, and benefit from having this information in a single service with a consistent schema. Any changes to input parcel data will trigger this service to update. Note that many input services do not include a truly unique identifier, or sometimes any identifier at all. The 'parcel_id' field contains a record identifier carried over from the input service, or is null if there is none. The 'local_gov' value of any record can be used to reference an input parcel web service in the table below.During processing, a *mostly unique identifier is created, called 'feature_id'. Duplicate values will occur for records that have identical 'local_gov' and 'parcel_id' values and also identical geometries. These cases are extremely rare (< 0.003%), and for the vast majority of records 'feature_id' is unique. Any duplicate values will be attached to parcels in the exact same place.Please reference original parcel web services if your use case requires official, authoritative, or comprehensive land parcel information. Local Government Parcel Web Service
Anchorage Municipality
https://services2.arcgis.com/Ce3DhLRthdwbHlfF/ArcGIS/rest/services/PropertyInformation_Hosted/FeatureServer/0
Denali Borough
https://arcgis.dnr.alaska.gov/arcgis/rest/services/OpenData/Administrative_BoroughParcels/FeatureServer/1
Bristol Bay Borough
https://services8.arcgis.com/MqzStQjDmKoNl0E6/ArcGIS/rest/services/TaxParcels_Related/FeatureServer/0
Dillingham Census Area
https://services3.arcgis.com/gdLTz4xpy5IxwbSz/arcgis/rest/services/ParcelsOnline/FeatureServer/0
Fairbanks North Star Borough
https://services.arcgis.com/f4rR7WnIfGBdVYFd/ArcGIS/rest/services/Tax_Parcels/FeatureServer/0
Haines Borough
https://services3.arcgis.com/pMlUMMROURtJLUZt/ArcGIS/rest/services/ParcelsOnline/FeatureServer/0
Juneau City & Borough
https://services.arcgis.com/kpMKjjLr8H1rZ4XO/arcgis/rest/services/Juneau_Parcel_Viewer/FeatureServer/0
Kenai Peninsula Borough
https://services.arcgis.com/ba4DH9pIcqkXJVfl/ArcGIS/rest/services/Redacted_Parcels_view/FeatureServer/0
Ketchikan Borough
https://services2.arcgis.com/65jtiGuzdaRB5FxF/ArcGIS/rest/services/KetchikanAKFeatures/FeatureServer/0
Kodiak Island Borough
https://services1.arcgis.com/R5BNizttyFKxRSMm/arcgis/rest/services/KIB_Parcels/FeatureServer/0
Matanuska-Susitna Borough
https://maps.matsugov.us/map/rest/services/OpenData/Cadastral_Parcels/FeatureServer/0
Nome Census Area
https://services9.arcgis.com/Oi9vFzXc8ZcONgM6/arcgis/rest/services/Parcels_Joined_with_Taxroll_Symbolized_by_Exempt/FeatureServer/0
North Slope Borough
https://gis-public.north-slope.org/server/rest/services/Lama/Parcels_sql/FeatureServer/9
Petersburg Borough
https://services7.arcgis.com/RqATEQTpM1W1xU9c/ArcGIS/rest/services/Lots/FeatureServer/0
Sitka City & Borough
https://services7.arcgis.com/EozEvrS4g3SEhtG3/ArcGIS/rest/services/Sitka_Parcels_2022/FeatureServer/0
Wrangell City & Borough
https://services7.arcgis.com/7cBSaoaaRaH5ojZy/arcgis/rest/services/Parcels/FeatureServer/0
Yakutat City & Borough
https://services2.arcgis.com/gRKiTtxkoTx0gERB/ArcGIS/rest/services/ParcelsOnline/FeatureServer/0
MSBSD Elementary School boundaries and their related schools. The boundary data was provided by MSBSD and the school locations come from the MSB public facilities dataset.
The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth?s surface using the State Plane coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.
description: This two coverage dataset makes up a 1:25,000 scale surficial geologic map along the Castle Mountain fault between Houston and Hatcher Pass Road in southcentral Alaska. The map area lies entirely within the Anchorage quadrangle and within the Matanuska-Susitna Borough. The primary purpose of the map is to delineate the location of the Castle Mountain fault and other active or potentially active faults in the area. This map lies between two other maps along the Castle Mountain fault by Detterman and others (1974, 1976).; abstract: This two coverage dataset makes up a 1:25,000 scale surficial geologic map along the Castle Mountain fault between Houston and Hatcher Pass Road in southcentral Alaska. The map area lies entirely within the Anchorage quadrangle and within the Matanuska-Susitna Borough. The primary purpose of the map is to delineate the location of the Castle Mountain fault and other active or potentially active faults in the area. This map lies between two other maps along the Castle Mountain fault by Detterman and others (1974, 1976).
The 2011 LiDAR & Imagery Project resulted in the collection of high-resolution elevation data and aerial imagery for 3680 square miles of the Matanuska-Susitna Borough (MSB) as well as the development of numerous ancillary datasets. Products include point clouds, two-foot (2') contours. If you would like to purchase a hard drive containing all of the data please vist the mat-Su Borough Ecommerce site: https://ecommerce.matsugov.us/Pages/GIS/GISDrives.aspx
The 2019 LiDAR Project resulted in the collection of high-resolution elevation data for 1098 square miles of the Matanuska-Susitna Borough (MSB) as well as the development of numerous ancillary datasets. Products include point clouds, two-foot (2') contoursIf you would like to purchase a hard drive containing all of the data please vist the mat-Su Borough Ecommerce site: https://ecommerce.matsugov.us/Pages/GIS/GISDrives.aspx
Corporate boundaries of the three cities located within the Mat-Su Borough (Houston, Palmer, and Wasilla).
Zones of common emergency response assignments for fire, rescue, police, and medical personnel. Used for E911 response purposes. Data was originally entered using ArcView. Data was entered using heads-up digitizing methods. Shapefile polygons were constructed using the RDS shapefile as the primary basis of reference. In densely developed areas, the tax map drawing files were also used as a supplemental basis of reference. Data was then converted to ArcInfo coverage format and the CLEAN command (using a tolerance of 10 feet) was used to reconstruct polygon topology. Several gaps and sliver polygons resulted from the CLEAN process. These were remedied using the MERGE subcommand found within ArcEdit. Feature attributes were then verified to insure that data had not been lost during the conversion and editing process. After successfully insuring that all data was still resident, the data was converted to Shapefile format for public distribution. In 2013 we shifted our core area parcel base therefore this dataset was shifted and manually corrected to follow updated parcel and road lines. In August 2015 we shifted our parcel base for areas along the Parks Highway from Houston to Talkeetna/Trapper Creek. Therefore this dataset was shifted and manually corrected to follow updated parcel and road lines.
This data contains the hydrology data for the Matanuska-Susitna Borough, AK. It is based upon the MSB tax parcel maps, orthoimagery, and data obtained from United States Geological Survey quad sheets. Data contains streams and rivers (except seasonal or intermittent streams), lakes, and islands. Much of the data doesn't match current aerial imagery and should only be used as a general representation water features. Not recommended for display at a scale below 1:6000 in areas along the road system and 1:63360 in other areas.
Base map page boundaries of the Mat-Su Borough Tax Map Page Index. The entire Borough is divided into a series of "base maps" and "index" or "grid maps". Base maps are given names that represent the geographical area represented (similar to USGS quad mapping) and index maps are numbered sequentially within the base map. The result is a base map with a two-character name (for example: ("WA" for Wasilla) and numbered index maps (usually numbered "1" thru "16"). The Mat-Su Borough tax map set is published using these pages. Furthermore, data such as the PARCELS coverages are divided into smaller files based on map page and later appended together to form one seamless file as part of the data processing procedures.
Fire Service Areas as defined within the Mat-Su Borough Code of Ordinances. Fire service areas are assessed an additional mill rate in exchange for fire protection and response services. Display of fire service area boundaries; mapping, parcel attribute QC, online display, public distribution
Township and Range boundaries as defined by the US Public Land Survey System (PLSS). PLSS is a way of subdividing and describing land in the United States. Most lands in the public domain are subject to subdivision by this rectangular system of surveys, which is regulated by the U.S. Department of the Interior, Bureau of Land Management. Township and Range boundaries were generated from geodetic latitude and longitude coordinate pairs as recorded on BLM's official protraction diagrams of the state of Alaska. Most corners are protracted corners, calculated by the Bureau of Land Management in lieu of field or survey locations. In 2013 and 2015 the Matanuska-Susitna Borough shifted portions of this dataset to more accurately reflect the actual locations of section corners on the ground. These shifts occurred in the more populated areas of the Matanuska-Susitna Borough. Contact the MSB GIS division for more information.
Emergency Community boundaries delineated as a means for identifying communities for emergency dispatching purposes.
In September of 1997 the Borough recognized the need for a standardized map delineating community boundaries for the entire Borough and adopted Ordinance 97-119. The Planning and Land Use Departments gathered existing maps of community councils, postal routes and planning areas and consolidated them by forming an official Community Name and Boundary Map. These community names were adopted for E911 purposes to allow for unique community identification as part of an address.
MSBSD High School boundaries and their related schools. The boundary data was provided by MSBSD and the school locations come from the MSB public facilities dataset.
A Letter of Map Amendment (LOMA) is an official amendment, by letter, to an effective National Flood Insurance Program (NFIP) map. A LOMA establishes a property's location in relation to the Special Flood Hazard Area (SFHA). LOMAs are issued because a property has been inadvertently mapped as being in the floodplain, but is actually on natural high ground above the base flood elevation.This dataset shows entire parcels that have a LOMA associated with them, but this doesn’t mean the LOMA applies to the entire parcel. In fact frequently a LOMA only applies to a particular part of a parcel. Additional research of the actual LOMA document should be completed for a better understanding of what portion of the property is affected.LOMA = Letter of Map Amendment
FEMA = Federal Emergency Management Agency
FIRM = Flood Insurance Rate Maps
The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth?s surface using the State Plane coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.