gis in context various states of gis: bridging borders through cooperative coordination

GIS in Context

Various States of GIS: Bridging Borders through Cooperative Coordination

GIS in Context

Administratively – North Dakota – Minnesota – South Dakota

Geographically – Southern Reaches of the Red River Basin; ND, MN, SD


• The Bridge of – Communicating GIS to Users– Communicating GIS in all contexts

• The Bridge of Coordination– Coordinating users at all levels– Coordinating GIS related efforts in all contexts

• The Bridge of Cooperation– Cooperating with users at all levels

– Cooperating in GIS efforts in all context…when appropriate.

• The Bridge of Planning– Planning for opportunities to build bridges in the future...for other users to cross


The Bridge of Communication

Let me introduce to you…


Pine to PrairieGIS User Group

An OverviewPresented to the

North Dakota GIS Users Conference

October 24, 2006


The Bridge of Coordination

Let me introduce to you…


Coordinating a Community

Approach to GIS in the

Southern Red River Basin


Wilkin County City Of Breckenridge Red River Basin Commission

Minnesota Governor’s Council on Geographic Information


• Vision – CGISTCOur vision as the Community GIS Technical Committee includes establishing a progressively planned, highly standardized, and forward moving GIS to initially serve the citizens throughout the communities of Wahpeton, Breckenridge, Richland and Wilkin Counties, and beyond. It includes a long-term commitment to establish a seamless GIS which acts as an easily accessible resource for all community members and outside entities such as other local, state, and federal governments and their agencies, for the purpose of enhanced decision making, reduction in data duplication, and increased information management efficiency.


GOALS of a community GIS

• Interfaced, Interoperable and/or Integrated

• Effective Reduction of Duplicity

• Efficient Information Management

• Adhering to Acceptable Standards


CW

CB

RC

WC

WSW IWI

ND GIS

FED Gvmt.

GENERAL PUBLIC

MN GIS


CW

CB

RC

WC

WSW IWI

ND GIS

FED Gvmt.

GENERAL PUBLIC

MN GIS

NSDI

Established Standards

OGC FGDC ANSI ISO


CW

CB

RC

WC

WSW IWI

ND GIS

FED Gvmt.

GENERAL PUBLIC

MN GIS

NSDI


OGC FGDC ANSI ISO

CGISTC

Shared Server

WAN

LAN

VPN

FTP

ODBC

Web Services


CW

CB

RC

WC

WSW IWI

ND GIS

FED Gvmt.

GENERAL PUBLIC

MN GIS

NSDI


OGC FGDC ANSI ISO

CGISTC

Shared Server

WAN

LAN

VPN

FTP

ODBC

METRO GIS

ND HUB

RBDIN

GOS

GOS 2

National Map

Web Services

Web Services

Web Services


So, What Are We Doing…Practically Speaking?

Serving the needs of our organizations in the context of a larger geographic extent and coordinating efforts by way of

business process to do so.•Auditors Office

•Highway Departments

•Emergency Managers

•Assessors Office

•Water Resource Boards

•School Superintendents

•Health and Social Services


The Bridge of Cooperation

Parcels, Soils & Taxation – Richland Wilkin Counties

Water, Water Everywhere – NOAA Grant for AFWS Imlementation

The OpenMNND (Open Mind) Project (www)


http://openmnnd.mapmorph.net/openmnnd.html



http://www.openmnnd.org/

Rural Parcel Creation Process

1. Adjust PLSS Section Corners/Lines

2. Rebuild PLSS Section Polygons

3. Rebuild PLSS Quarter-Quarter Polygons

4. Generate aliquot parcels from short legal description

Adjust PLSS Corners• Original PLSS layers from ND Data Hub

• Corners adjusted using aerial imagery– 1m DOQ primary reference image– Additional aerial imagery used as

supplemental reference

• Street Intersections assumed PLSS corner locations– Good starting point– Provides ‘cleanest’ parcel output.

PLSS Corner Adjustment

Average Adjustment: 13 metersRange of Adjustment: 0-80 meters

PLSS Corner Adjustment

Aliquot Parcel Builder Results

Fractional section parcels >=5 Acres are generated fromthe short legal description in county tax data.

Aliquot Parcel Builder Results

5800 Parcels83% of Total County Acreage

Urban/Plat Parcels

Rectify Scanned Plat Drawings to Aerial Imagery

Digitize from Rectified Image

Platted Parcel Results

Update Process

• As the PLSS layer(s) are updated for accuracy, parcels can be regenerated in the impacted areas.

• Updated tax data can be used to reprocess parcels and perform updates.

Conclusion

• This process is meant to provide a quick and cost effective means of establishing a base parcel dataset.

• Roads, other visible feature digitizing could occur at the same time of PLSS adjustment. (Currently very poor accuracy)

Southern Basin GAP Project(Gauge Acquisition and Placement)

NOAA sponsored Automated Flood Warning System grant to place seasonal stream stage and precipitation gauge data collectors

throughout the southern 1/3 of the Red River Basin.


What’s it all about

• Automated Flood Warning System.

• Filling gauge coverage gaps in the lower 1/3 of the Red River Basin.

• Enhance existing flood models & hydrologic prediction.

• Proactive mitigation & preparedness planning.

• Enhancing GIS utilization in the region.


Automated Flood Warning System.USGS Satellite System

Satellite & Communications Telemetry Equipped Stream & Precipitation Gauge Data Collectors

Local authorities convene after being contacted by AFWS. EOC established if necessary.

USGS Data Processing

NOAA forecasting centers receive data with NESDIS ID for use in HADS.

Local GIS (City, County, & State)

Advanced Hydrologic Prediction Service (AHPS)

Local level warnings—bridge & road closure, etc.,—pushed to Reverse 911 notification system and MapServer or IMS site for informing general public as necessary.

ESRI ArcINFO multi-site license & Spatial Analyst extension.


Filling gauge coverage gaps.


Enhance existing flood models & hydrologic prediction.

• MIKE 11

• HEC-RAS

• SWAT

• HAZUS


MIKE 11• DHI's MIKE 11 software package is a versatile and modular

engineering tool for modeling conditions in rivers, lakes/reservoirs, irrigation canals and other inland water systems. It is designed for:

• flood risk analysis and mapping • design of flood alleviation systems • real-time flood forecasting • real-time water quality forecasting and pollutant tracking • hydraulic analysis/design of structures including bridges • drainage and irrigation studies • optimization of river and reservoir operations • dam break analysis • water quality issues • integrated groundwater and surface water analysis


HEC-RAS• HEC-RAS is an integrated system of software, designed

for interactive use in a multi-tasking, multi-user network environment. The system is comprised of a graphical user interface (GUI), separate hydraulic analysis components, data storage and management capabilities, graphics and reporting facilities.

• The HEC-RAS system will ultimately contain three one-dimensional hydraulic analysis components for: (1) steady flow water surface profile computations; (2) unsteady flow simulation; and (3) movable boundary sediment transport computations.


SWAT• Model Objective• Predict the effect of management decisions on

water, sediment, nutrient and pesticide yields with reasonable accuracy on large, ungaged river basins.

• Model Components• Weather, surface runoff, return flow, percolation,

ET, transmission losses, pond and reservoir storage, crop growth and irrigation, groundwater flow, reach routing, nutrient and pesticide loading, water transfer.


SWAT• Model Operation• Daily time step-long term simulations • Basins subdivided to account for differences in soils, land use, crops,

topography, weather, etc. • Basins of several thousand square miles can be studied • Soil profile can be divided into ten layers • Basin subdivided into subbasins or grid cells • Reach routing command language to route and add flows • Hundreds of cells/subbasins can be simulated in spatially displayed outputs • Groundwater flow model • SWAT accepts output from EPIC • SWAT accepts measured data and point sources • Water can be transferred from channels and reservoirs • Nutrients and pesticide input/output • Windows Interface • GRASS GIS links to automate inputs


HAZUS• HAZUS Loss Estimation Flood Model• The flood loss estimation methodology consists of two modules that

carry out basic analytical processes: flood hazard analysis and flood loss estimation analysis. The flood hazard analysis module uses characteristics, such as frequency, discharge, and ground elevation to estimate flood depth, flood elevation, and flow velocity. The flood loss estimation module calculates physical damage and economic loss from the results of the hazard analysis. The results are displayed in a series of reports and maps.

• Users may perform three levels of analysis using the HAZUS-MH Flood Model. As noted below, the required input data and expertise vary according to the level of analysis:


HAZUS• LEVEL 1

All of the information needed to produce a basic estimate of local flood losses are included as default data, based on national databases and nationally applicable methods.

• LEVEL 2More detailed input data will be needed, including detailed information on local conditions. Modification of default databases will be required, along with the inclusion of local data and analyses.

• LEVEL 3Detailed and site-specific input data are used to create state-of-the-art damage estimates and situation assessment profiles. Level 3 is intended for the expert user.

• The Flood Information Tool (FIT), released in 2002, is designed to process locally available flood information and convert it into data that can be used by the HAZUS-MH Flood Model. The FIT is a system of instructions, tutorials, and GIS analysis scripts. When provided with user-supplied inputs (e.g., ground elevations, flood elevations, and floodplain boundary information), the FIT calculates flood depth and elevation for riverine and coastal flood hazards. The FIT is intended to help users perform Level 2 or Level 3 flood hazard analyses. The user is allowed to input various combinations of data (i.e., default data provided with the model and community-specific data provided by the user) in order to customize the analysis.


http://www.fema.gov/plan/prevent/hazus/hz_fit.shtm

Proactive mitigation & preparedness planning.

“The Red River Basin economy is influenced directly and indirectly by water, not only in terms of water supply for processing plants, drinking water, etc., but also through the impacts of flooding (e.g., delayed spring planting, disruption to businesses, etc.). Basin-wide flood damages (including both Canada and the U.S.) after the flood of 1997 were estimated at $5 billion USD/$6.85 billion CDN (IJC 2000), or $5.8 billion USD in 2004 dollars” (Red River Basin Natural Resources Framework Plan p.3; Red River Basin Commission; May, 2005).



Furthermore, “Estimated evacuations of the ’97 flood include 80,000 people in North Dakota, Minnesota, and Manitoba, including 47,500 of the 50,000 residents of Grand Forks, with five flood-related deaths in the two states and Canada, including a mother and daughter who died in their truck when a road washed out near Wahpeton.” (Associated Press 1997).



“Total losses for the Red River Region comprise roughly 72.25 % of all claims paid in North Dakota by FEMA during a period from 1974 through Sept. 2004 (Devils Lake region accounts for an additional 23 % of losses paid during the same period, leaving only 5 % for covered loss throughout the rest of the entire state of North Dakota); current policies in force as of Sept. 2004: 5,152 (FEMA Loss and Policy Statistics by State).



Flood mitigation remains a top priority for communities throughout the region. “The 1997 flood in the Red River basin generated a strong determination by all levels of government to identify quickly, evaluate, and implement permanent flood reduction projects for existing urban communities along the Red River of the North. The communities include the city of Wahpeton and its sister city, Breckenridge where there is strong public and interagency recognition of the need for a permanent flood reduction project.” (USACE, 2005).


Enhancing GIS utilization in the region

• ArcInfo Package

• Spatial Analyst Extension

• 3D Analyst Extension


ArcInfo Package

• ArcInfo is the most complete and extensible GIS available. It includes all the functionality of ArcView and ArcEditor and adds advanced geoprocessing and data conversion capabilities. Professional GIS users use ArcInfo for all aspects of data building, modeling, analysis, and map display for screen and output.

• A complete GIS out of the box, ArcInfo provides all the functionality for creating and managing an intelligent GIS. This functionality is accessible via an easy-to-use interface that is customizable and extensible through models, scripting, and applications.

ESRI www.esri.com


http://www.esri.com/software/arcgis/concepts/intelligent.html

http://www.esri.com/

Spatial Analyst

• ArcGIS Spatial Analyst provides powerful tools for comprehensive, raster-based spatial modeling and analysis. Using ArcGIS Spatial Analyst, you can derive new information from your existing data, analyze spatial relationships, build spatial models, and perform complex raster operations.

• Example applications of ArcGIS Spatial Analyst include• Contractors who use ArcGIS Spatial Analyst to identify

areas suitable for new development. • Hydrologists who use hydrologic modeling to analyze

temporal changes in sedimentary processes in a given terrain.

ESRI www.esri.com



3D Analyst

• ArcGIS 3D Analyst allows you to effectively visualize and analyze surface data. Using ArcGIS 3D Analyst, you can view a surface from multiple viewpoints, query a surface, determine what is visible from a chosen location on a surface, create a realistic perspective image that drapes raster and vector data over a surface, and record or perform three-dimensional navigation.

• The ArcGlobe application in ArcGIS 3D Analyst allows you to manage and visualize, from a local or global perspective, extremely large sets of three-dimensional geographic data. ArcGlobe provides the capability to seamlessly interact with any geographic information as data layers on a three-dimensional globe.

ESRI www.esri.com



The CGISTCCommunity GIS Technical Committee

Our vision as the Community GIS Technical Committee includes establishing a progressively planned, highly standardized, and forward moving GIS to initially serve the citizens throughout the communities of Wahpeton, Breckenridge, Richland and Wilkin Counties, and beyond. It includes a long-term commitment to establish a seamless GIS which acts as an easily accessible resource for all community members and outside entities such as other local, state, and federal governments and their agencies, for the purpose of enhanced decision making, reduction in data duplication, and increased information management efficiency.


PartnersCollaborator Support Type Support Percent Support Amount Requested Confirmed

Wild Rice River (3)

South East Cass Water Resource District financial 0.500 $10,500.00 9/13/2006 10/16/2006

County of Richland, ND financial 0.239 $5,000.00 10/2/2006 10/16/2006

County of Sargent, ND financial 0.025 $500.00 10/17/2006

Richland County Water Resource District financial 0.096 $2,000.00 9/25/2006 10/16/2006

Sargent County Water Resource District financial 0.025 $500.00 10/17/2006

North Dakota State Water Commission financial 0.075 $1,500.00 10/12/2006

$20,000.00


Partners

Comstock Coulee (1)

County of Clay, MN -- Emergency Management financial 0.340 $2,333.33

City of Moorhead financial 0.340 $2,333.33

Buffalo-Red River Watershed District financial 0.340 $2,333.33

$7,000.00


Partners

Doran Slough (1)

City of Wahpeton financial 0.250 $1,750.00

City of Breckenridge financial 0.250 $1,750.00

County of Wilkin, MN financial 0.250 $1,750.00

Bois de Sioux Watershed District financial 0.250 $1,750.00

$7,000.00


Partners

United States Geological Survey in-kind $0.00

US Army Corps of Engineers modeling $0.00

Red River Basin Commission modeling $0.00

Environmental and Energy Research Center modeling $0.00

North Dakota Department of Emergency Management modeling $0.00

Federal Emergency Management Administration modeling $0.00

City of Fargo general $0.00


ND-MN Collaboration to Build ND-MN Collaboration to Build Open-Source Web Open-Source Web

ApplicationsApplications

OpenMNND ProjectOpenMNND Project

Randy Knippel

GIS Manager

Dakota County, MN

Example Sites

Objectives

• Create web-based GIS solution– Low cost– Easily implemented– Consistent look and feel

• General public is target audience

• Collaborative application development

• Sustainable software design

2006 FGDC Cooperative Agreement Program (CAP)

Categories1. Metadata Trainer and Outreach

Assistance 2. Framework Client Development 3. Fifty States Initiative4. Canadian-US Spatial Data

Infrastructure Project 5. Geographic Information Integration &

Analysis

Category 2: Framework Client Development

• Software clients for Framework Data Services

• Exploit online Framework Data• Support for OGC Web Feature Services• Distributed freely through an

established community– Extension to an existing geographic

information system– Open-source software solution

NSDI Framework

• Data, Technology, and Procedures• Focus on 7 main themes of geographic data

– geodetic control– orthoimagery– elevation– transportation– hydrography– governmental units– cadastral information

Strategy

• Create open source client based on Mapserver– Leverage existing open source clients– Easy deployment by cities and counties– Easily configurable and customizable

• Add capabilities– Geocoding– Property searches– Comparables– Mailing labels

Services Oriented Architecture (SOA)

• Reusable component web services

• Leverage collaborative development model

• Leverage existing services

• Create framework for continued development

Supporting Agencies

• Anoka County• American Society of Photogrammetry

and Remote Sensing (ASPRS)• Carver County• Community GIS Technical Committee• Cook County• Dakota County• Douglas County• Minnesota Association of Assessing

Officers (MAAO)• MetroGIS• Metropolitan Mosquito Control District• Minnesota Governor's Council on

Geographic Information

• North Dakota Association of Assessing Officers (NDAAO)

• North Dakota, Information Technology Department

• Richland County• St. Louis County• Todd County• Twin Cities MapServer Users

Group• University of Minnesota, College

of Natural Resources• University of Minnesota,

Computer Science Department• United States Geological Survey

(USGS)• Washington County

Steering Committee

• Doug Bartels – Richland County, ND

• Randy Knippel – Dakota County, MN

• Nancy Read – Metropolitan Mosquito Control District (MMCD)

• Bob Nutsch – North Dakota Information Technology Department

• Brian Fischer – Houston Engineering

Technical Committee

• Brian Fischer – Houston Engineering

• Randy Knippel – Dakota County, MN

• Jim Dickerson – MN Land Management Information Center (LMIC)

• David Bitner – Metropolitan Airports Commission (MAC)

• Bob Basques – City of St. Paul

• Wes Peck – EERC

Project Website

http://www.openmnnd.org



Requirements Specifications

• User environment

• Interface requirements

• Client-side feature requirements

• Server-side feature requirements

• Configuration requirements

Moose

• Open-source MapServer client – Developed by City of Saint Paul

• Includes lots of:– HTML– JavaScript– XML– AJAX scripting

• Extensible

Richland County on Moose

Your Involvement

• Visit project website

• Review requirements and specifications

• Subscribe to discussion forums

• Participate in forums

• Assist with testing

• Implement

The Bridge of Planning


Doug BartelsGIS Coordinator

Richland County, ND

701-642-7860

[email protected]

Wayne Hurley Wayne Hurley AICPAICP

Transportation Planning DirectorTransportation Planning Director

West Central InitiativeWest Central Initiative

[email protected]

218-739-2239218-739-2239


mailto:[email protected]

mailto:[email protected]

gis in context various states of gis: bridging borders through cooperative coordination

Documents

gis efforts

moving gis

seamless gis

context various states

sd various states of

cooperative coordination

gis related efforts

general public mn gis