comprehensive land use/land cover data, analysis, and predictive modeling: a partnership approach...
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Comprehensive Land Use/Land Cover Data, Analysis, and Predictive Modeling:
A Partnership Approachfor Michigan
Soji AdelajaHannah Distinguished Professor in Land Policy
Land Policy ProgramMichigan State University
Current Context for Data, Analysis, and Predictive Modeling
• Last statewide, planning-scale land use/land cover data inventory dates to 1978 (MIRIS).
• Lack of current data impedes the ability to assess current patterns, predict trends, and effectively plan for future land use demands in:– Urban revitalization.– Conversion of agricultural lands to other uses.– Land-based industries.– Wetland and other habitat preservation.– Rural residential development.– Economic development.
Michigan Land Use Leadership Council
• Established by Governor Granholm in 2003:– Identify trends, causes and consequences of unmanaged growth
and development.– Make recommendations for the improvement of land use policy.
• Principal recommendations include:– Update of Land Use/Land Cover data.– Support research, development, and training at state universities
to develop and deploy new technologies for monitoring and analyzing environmental conditions.
– Monitor and report land use/land cover change, by county.
Leadership and Capacity of MSU’s Land Policy ProgramResearch Centers and Institutes• Remote Sensing and GIS Research and Outreach
Services (RS&GIS)• Institute for Water Resources (IWR)• Michigan Natural Features Inventory (MNFI)• Victor Institute• Center for Research on Underground Infrastructure
(CURIE)• Center for Global Change and Earth Observations
(CGCEO)
Leadership and Capacity of MSU’s Land Policy Program - ContinuedDepartments
• Geography
• Agricultural Economics
• CARRS
• Urban Planning
• Landscape Architecture
• Construction Management
Leadership and Capacity of MSU’s Land Policy Program - ContinuedMSU Extension – Delivery to Communities
• Land Use AOE Team
• Economic Development AOE Team
MSU Partnership Opportunity
• State Agencies– Department of Agriculture– Department of Community Health– Department of Environmental
Quality– Department of Information
Technology– Department of Natural
Resources– Department of Transportation– State Police– Department of History, Arts and
Libraries
• Federal Agencies– US Department of Agriculture
• Farm Service Agency• Natural Resources Conservation
Service
– Army Corps of Engineers– Environmental Protection Agency– US Forest Service– US Fisheries and Wildlife– US Geologic Survey
• Other Organizations– Great Lakes Commission– Ducks Unlimited– Michigan Farmland and
Community Trust
We can design the next aerial imagery flyover to position Michigan for fundamental land use innovation through current information and data
LPP and RS&GIS Foundation Activities
• National Agricultural Imagery Program (NAIP) Aerial Imagery Partnership Meeting:– USDA Farm Service Agency.– Establish Michigan’s role in the 2005 Aerial Photography flight.– Identify partners.– Plan for comprehensive initiative.
• Land Use/Land Cover Modeling workshop:– Provide a forum for sharing current modeling efforts in Michigan.– Identify gaps in current modeling efforts.– Facilitate collaboration between the modeling communities.
• Handbook for Land Use/Land Cover data update methodology:– Develop standards for imagery sources, classification schemes, and
polygon digitization for land use/land cover data updating.– Define protocols with respect to 1978 MIRIS land use/land cover data.
Initiative Goal:
Development of an integrated set of decision support tools including comprehensive data, spatial analysis, and predictive models to help communities.
A Framework for Delivery
Aerial Imagery Acquisition
Land Use/Land CoverData Update & Analysis
Predictive State Model
CommunityDeliverables
DirectedResearch
Driven by community and policy needs
Designed to position partners for optimal impact on stakeholders
Designed to meet information needs of partners and state
Aerial Imagery Acquisition
• High resolution, statewide imagery:– National Agriculture Imagery Program (NAIP).– Digital imagery.– Ortho-rectified. – 1 meter resolution.– Color (CIR/Natural).– Non-exclusive rights.
Land Use/ Land Cover Data
• Planning-scale land use/land cover data update for the approximately 37 million acres of Michigan’s diverse landscape:– Michigan is the 3rd most agriculturally diverse state in the nation.– Michigan’s Upper and Lower Peninsulas are comprised of
abundant deciduous and coniferous forests.– Michigan’s glacial history provides a unique topography that offers
numerous water, wetland, and dune features.– Michigan’s core cities, suburban communities and rural residences
support the growing population.– Overlay of municipal, government, socio-economic, demographic,
fiscal, and other variables.
Land Use/Land Cover Data – A Methodology for Updating
• Correction of gross classification errors (1978 data).• Interpretation of current imagery to present land
classification.• Fieldwork to ensure interpretation accuracy.• Quality Assurance/Quality Control Protocol to certify
National Map Accuracy Standards.• Partner and vision driven protocols.
Imagery and Data - A Foundation for Deliverables
Lake
Single FamilyResidential
Central Hardwoods
Central HardwoodsCropland
Institutional(Education)
Road Transportation
Resource AtlasDigital Data
PredictiveModel
Online GISDecision Support
SummaryStatistics
Impervious Surface WatershedQuality Assessment
SpeciesPreservation
Fiscal ImpactAnalysis
Web AccessibleDigital Imagery
ComprehensiveCommunitySimulation
MunicipalConsolidation Analysis
Community Deliverables
• County Resource Atlas, for each county, illustrating patterns of land use/land cover, natural resources, demographics, etc.:– Large format maps.– Summary statistics depicting change characteristics.– Fact Sheets.
• Digital Data for use in county GIS programs:– Land Use/Land Cover polygon data.– Statewide digital imagery sets (NAIP).
• Web accessible products:– Online GIS decision support and planning tools.
Predictive Model for Michigan
• Dynamic model based upon several sub-models that “talk to each other”:– Demographic trends.– Community characteristics.– Economic impacts.– Land demand and consumption forecast.– Infrastructure planning requirements.– Fiscal impacts.– Ecological impacts.– Consolidation implications.
Directed Research
• Fiscal Impact Analysis.• Impervious surfaces in watersheds -assessment of
water quality impacts.• Unique and endangered species preservation.• Brownfield redevelopment.• Commerce Center impacts.• Cool Cities impacts.• Impacts of farmland preservation.• Growth corridors.
Products and Timelines
Year 1 Year 2 Year 3 Year 4
Aerial Imagery Acquisition
Land Use/Land CoverData Update & Development
Community Deliverables
State Model and Relational Database
Directed Research
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