Minnesota Forests for the Future
MnGeo Parcels and Land Records CommitteeStatewide PLSS Data
Set
Bart Richardson IT Portfolio Manager, MN.IT@DNR
1This report as the subtitle says is about: Conserving
Minnesotas working forestlands in order to meet the states future
recreation, economic, and ecological needs
The Original Public Land Survey SystemIn the original thirteen
colonies land boundaries are described with metes and bounds.
The Public Land Survey System (PLSS) was developed by Thomas
Jefferson and approved by the Continental Congress in 1785 as the
Ordnance Act
Northwest Ordinance of 1787 created for surveying and settling
newly acquired lands
The Original Public Land Survey SystemThe General Land Office
(GLO) was established to facilitate disposal of lands west of the
Appalachian Mountains that the U.S. government had acquired from
the British after the end of the Revolutionary War.
All 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 (BLM).
PLS Principal Meridians and Base Lines
The Original Public Land Survey System
5In northern Minnesota, we have been particularly concerned with
changing forest ownership. This map show industrial forestland in
brown and red. Red are recent sales. Timber and mining companies
are selling thousands of acres of Minnesotas private forestlands in
large chunks to financial investors. This is creating a dramatic
shift in land ownership. The opportunity for additional changes is
ever greater now due to the recession and major decline in the
forest products industry. We dont know the full consequences of
this shift.
PLSS in MinnesotaOriginal Survey from 1847 to 1907Surveyed in
the 4th and 5th Principals Meridians.8 Correction lines in the 4th
P.M.6 Guide Meridians & 15 Standard Parallels in the 5th P.M.T
26 to 71 N R 1 to 32 W in the 4th P.M.T 61 to 65 N R 1 to 7 E in
the 4th P.M.T 101 to 168 N R 3 to 49 W in the 5th P.M. One Half
Township T58N, R17WTwo Half Ranges T159N, R42W & T160N,
R42WContains ~ 2530 Townships~ 84,000 Sections~ 1,300,000
Government Lots and 40s (Quarter-Quarter sections)~ 53,000,000
acres of land
PLSS in Minnesota
Original Survey from 1847 to 1907
PLS Control Point Inventory (CPI)CPI was built in dBase IV (DOS
based)
CPI information: ~828,866 points (August 3, 2009) 143,058 points
are better than digitized positions for PLS Corners 125,747
Digitized positions (not including points for meander lines,
reservation lines and county lines along rivers)
PLS Control Point Inventory (CPI)The PLSS40 layer used 123,861
control points111,393 digitized points12,468 points better than
digitized positions
Control Points
CPI Management
ESRI Parcel FabricPoints, Lines, & Polygons tied to each
otherControl PointsLines built from pointsPolygons built from
lines
CPI ManagementESRI Parcel FabricPoints, Lines, & Polygons
tied to each otherControl PointsLines built from pointsPolygons
built from linesAdjusting a control point corrects all associated
polygons
CPI ManagementNancy von MeyerGIS and Land Records: The ArcGIS
Parcel Data Model
BLMGeographic Coordinate Data Base (GCDB)Cadastral National
Spatial Data Infrastructure (CadNSDI)Arizona, California, Colorado,
Idaho, Montana/North Dakota, Nevada, New Mexico, Utah and
Wyoming
CPI ManagementMnGeoStatewide Parcel DatasetParcels and Land
Records CommitteeParcel standards for assemblyPLSS coordinationIn
the future, PLSS Data Minn. DNRStatewide Parcel DatasetPLSS Data
(static)County SurveyorsParcel DatasetPLSS Data (not static)CPI
ManagementMnGeoStatewide Parcel DatasetParcels and Land Records
CommitteeParcel standards for assemblyPLSS coordinationIn the
future, PLSS Data Minn. DNRStatewide Parcel DatasetPLSS Data
(static)County SurveyorsParcel DatasetPLSS Data (not static)
Next Steps
ConclusionParcel dataFinish collecting and assembling parcel
dataManage data in a parcel fabricEstablish a process of
automatically updating data from countiesPLSS dataStarting with the
DNR/BLM data, create a PLSS40 dataset in an ESRI Parcel
FabricCollect surveyed Control Points from countiesUpdate PLSS
dataset with surveyed Control PointsEstablish a process of
automatically updating data from counties
Share all data with other state agencies16Use results to inform
the selection of candidate projects for MFF Program funding
requests
Integrate the data into a GIS-based decision-support tool that
further facilitates the refinement of priorities as new information
becomes available and conditions change.
Model parcelization risk to further prioritize forest lands for
protection by the MFF program.
Improve economic value modeling
Next Steps
ConclusionContacts:
Dan Ross ([email protected])MnGeo
Jeff Storlie and Ryan Stovern ([email protected],
[email protected]. Louis County
Hal Watson ([email protected])MN.IT@DNR
17Use results to inform the selection of candidate projects for
MFF Program funding requests
Integrate the data into a GIS-based decision-support tool that
further facilitates the refinement of priorities as new information
becomes available and conditions change.
Model parcelization risk to further prioritize forest lands for
protection by the MFF program.
Improve economic value modeling
cpiOBJECTIDPLSSIDPOINTIDPOINTLABXCOORDYCOORDZCOORDELEVRELYTXTRELYNUMBERRORXERRORYERRORZHDATUMVDATUMCOORDMETHCOORDSYSSTEWARD1STEWARD2LOCAL1LOCAL2LOCAL3LOCAL4SURVEYYEARREVISEDDATE1MN051560N0310W0MN051560N0310W0_500300500300-94.59617280648.30879052801200115
Feet1151151150NAD 27Least Square AdjustmentGeographicBLM Cadastral
-
ES02MN051490N0330W0MN051490N0330W0_260100260100-94.89542269447.67293280601200263
Feet2632631440NAD 27Least Square AdjustmentGeographicBLM Cadastral
-
ES03MN051520N0320W0MN051520N0320W0_457700457700-94.72611491748.0197483060120090
Feet9090830NAD 27Least Square AdjustmentGeographicBLM Cadastral -
ESMN051530N0320W0_50010004MN051540N0370W0MN051540N0370W0_520460520460-95.37223516748.1613256940120094
Feet9494940NAD 27Least Square AdjustmentGeographicBLM Cadastral -
ES05MN051530N0370W0MN051530N0370W0_560240560240-95.3610037548.0419060120088
Feet8888880NAD 27Least Square AdjustmentGeographicBLM Cadastral -
ES06MN051500N0380W0MN051500N0380W0_640540640540-95.46219013947.826022501200106
Feet1061061050NAD 27Least Square AdjustmentGeographicBLM Cadastral
-
ES07MN051550N0320W0MN051550N0320W0_220220220220-94.78950680648.2123349720120098
Feet9898980NAD 27Least Square AdjustmentGeographicBLM Cadastral -
ES08MN051540N0370W0MN051540N0370W0_200660200660-95.44255002848.1903784720120092
Feet9292910NAD 27Least Square AdjustmentGeographicBLM Cadastral -
ES09MN051500N0370W0MN051500N0370W0_100640100640-95.45135891747.84053322201200110
Feet1101101080NAD 27Least Square AdjustmentGeographicBLM Cadastral
-
ESMN051500N0380W0_700640010MN051510N0350W0MN051510N0350W0_400100400100-95.13043247.84766447201200116
Feet1161161140NAD 27Least Square AdjustmentGeographicBLM Cadastral
-
ESMN051500N0350W0_400700011MN051520N0380W0MN051520N0380W0_140400140400-95.5705007547.9771799440120088
Feet8888880NAD 27Least Square AdjustmentGeographicBLM Cadastral -
ES012MN051500N0320W0MN051500N0320W0_600160600160-94.69886694447.77023763901200111
Feet1111111090NAD 27Least Square AdjustmentGeographicBLM Cadastral
-
ES013MN051520N0370W0MN051520N0370W0_806220806220-95.43668355648.0098954720120085
Feet8585850NAD 27Least Square AdjustmentGeographicBLM Cadastral -
ES014MN051530N0390W0MN051530N0390W0_120100120100-95.71645811148.0207739720120091
Feet9191910NAD 27Least Square AdjustmentGeographicBLM Cadastral -
ES015MN051510N0320W0MN051510N0320W0_300200300200-94.76360022247.86069338901200104
Feet104104990NAD 27Least Square AdjustmentGeographicBLM Cadastral -
ES016MN051530N0390W0MN051530N0390W0_300260300260-95.67880708348.0461635830120099
Feet9999990NAD 27Least Square AdjustmentGeographicBLM Cadastral -
ES0
