FUNDING FOR DEVELOPMENT OF STATEWIDE LAND COVER DATA Jennifer Tribo, Senior Water Resources Planner Hampton Roads Planning District Commission VGIN Advisory.

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Presentation transcript:

FUNDING FOR DEVELOPMENT OF STATEWIDE LAND COVER DATA Jennifer Tribo, Senior Water Resources Planner Hampton Roads Planning District Commission VGIN Advisory Board Meeting January 6, 2014

Proposal Develop a high resolution land cover layer in order to improve pollutant loading estimates for Virginia in Phase 6 of the Chesapeake Bay Models.

Why Now? Chesapeake Bay TMDL/Implementation Plan Phase II Watershed Implementation Plans Midpoint Assessment TMDL Goals Met

Land Cover and the Chesapeake Bay TMDL  Land cover data is utilized by the Bay Models to calculate loads and load reductions for local governments.

Chesapeake Bay Background  Current land cover data derived from 30-meter Landsat imagery.  Underestimates impervious cover in rural areas  Underestimates vegetation in dense urban areas  Overestimates agricultural areas  Discrepancies between Baywide data and local scale data caused accountability and implementation issues during development of TMDL and Implementation Plans.  Bay Program utilized ancillary data to improve data quality, and pledged to further improve data for 2017 model revisions.

Data Comparison High Resolution Data 30 Meter Landsat Data Dense Urban Area Suburban area

Chesapeake Bay Background Cont.  Localities advocated for use of local data in  Land Use Workgroup was established by Bay Program in 2012 to establish protocols.  Data survey of Bay Watershed local governments showed wide variations in data quality and availability.  Data for Virginia was only available in highly urbanized counties and quality varied widely.  Local scale land cover data due to the Bay Program by Summer 2015.

Uses for High Resolution Land Cover Data  Quantify changes in development over time.  Identify natural resources at risk from development.  Quantify impervious surfaces in urban areas.  Utilize for stormwater utility development.  Estimate stormwater pollutant loads and reductions.  Track urban tree canopy coverage.  Evaluate effectiveness of land conservation or restoration initiatives.

Potential State Agency Partners

Benefits of Statewide Land Cover Data  Consistent methodologies, classification systems, and scale.  Cost savings for bulk analysis and single contract.  Data available to localities and all state agencies.

Proposed Methodology  Utilize 4 band orthophotography to develop 5-7 classes of land cover data.  2011 for western localities  2013 for eastern localities

Proposed Methodology Cont.  Resolution may vary from 1 foot to 5 meters depending on location.  Proposed classes  Impervious surface (separate buildings, roads, and sidewalks/parking lots in urban areas).  Woody land cover  Non woody land cover  Emergent wetlands  Agriculture  Water  Barren

Who Would Conduct Analysis?  The Sanborn Map Company, Inc.  Holds existing contract for providing orthoimagery to VITA through  Most efficient option in terms of time.  Other entity  VITA would have to put services out for bid.  Could be more cost effective.

Estimated Costs  Utilizing current Sanborn land cover specifications:  Baywide – approximately $4 million  Statewide – approximately $6 million  HRPDC and VGIN staff working with Sanborn to refine cost estimate and data specifications.

Next Steps  Propose budget amendment through general assembly.  Earmark Water Quality Improvement Fund (WQIF) or Stormwater Local Assistance Fund.  Pull from partner agency budgets.  DEQ funds through WQIF and recoups some costs through agreements with partner agencies.