Environment and Natural Resources Trust Fund 2014 Request for Proposals (RFP) - PDF

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Environment and Natural Resources Trust Fund 2014 Request for Proposals (RFP) Project Title: Mapping Landscapes for Better Land and Water Management ENRTF ID: 001-A Category: A. Foundational Natural Resource
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Environment and Natural Resources Trust Fund 2014 Request for Proposals (RFP) Project Title: Mapping Landscapes for Better Land and Water Management ENRTF ID: 001-A Category: A. Foundational Natural Resource Data and Information Total Project Budget: 378,718 Proposed Project Time Period for the Funding Requested: 2 Years, July June 2016 Summary: Critically important land cover information for Minnesota is outdated. We propose to update the states land cover data at moderate spatial resolution statewide and high resolution for selected areas. Name: Joseph Knight Sponsoring Organization: U of MN Address: 1530 Cleveland Ave N St. Paul MN Telephone Number: (612) Web Address Location Region: Statewide County Name: Statewide City / Township: Funding Priorities Multiple Benefits Outcomes Knowledge Base Extent of Impact Innovation Scientific/Tech Basis Urgency Capacity Readiness Leverage Employment TOTAL % 07/24/2013 Page 1 of 6 Environment and Natural Resources Trust Fund (ENRTF) 2014 Main Proposal Project Title: Mapping Landscapes for Better Land and Water Management Project Title: Mapping Landscapes for Better Land and Water Management I. PROJECT STATEMENT Conservation and management of Minnesota s natural resources require significant investments of time and money by many state/local agencies and stakeholder groups. For example, in FY 2013, Clean Water Funding for restoration and protection watershed projects is over 95 million. The three components of success in such projects (define problem sources, target and track changes) begin with accurate quantification of land cover/use via Geographic Information System (GIS) or geospatial data. This project will update the statewide geospatial data and freely distribute it to all land and water conservation entities. This project is driven directly by the needs of local, county, state agencies and other stakeholders. Why is updating land cover important? Urban and agricultural lands (the most intensive land uses) shed the most water, sediments, and nutrients in contrast to forests and prairies that retain the most water, sediments and nutrients. The existing statewide land cover data (2000) does not include the effects of the boom growth period, changes in agricultural production, nor changing forests. Alternative datasets (e.g. the National Land Cover Data) are inadequate for many of Minnesota s needs. Wetlands, prairies, and forests are elements of critical conservations goals (e.g. LSOHC). Effective conservation requires up-to-date land cover information. How would the updated land cover be used? Project products will be used by county SWCDs, watershed district/management organizations, city, basin, and state agencies involved in water and land conservation. Land cover is a foundational dataset for watershed predictive computer modeling and planning used in land and water conservation efforts including: Effective targeting of 100 s M agricultural best management practices. Changing commodity prices have increased the amount of land in cultivation. This project will help track changes in cultivation coverage due to crop types and other land use practices. Effective management of urban areas, including impervious surfaces (roads, roofs and alleys), storm water and flood planning, and urban tree cover assessment. Effective tracking and quantification of recent changes to Minnesota s prairie and wetland areas; Effective monitoring of changes to our deciduous and conifer forests. We propose to integrate the existing LiDAR elevation data collected for Minnesota with state-of-the-art remote sensing data and methods to develop the next generation of Minnesota-specific land cover datasets that are needed statewide. Selected areas will be mapped at much higher spatial resolution. The results of this project will substantially improve the land cover data available to Minnesota s resource managers. This project will result in statewide geospatial data for , with higher resolution data for selected parts of the state. Statewide 1/4-acre (30-meter) spatial resolution products will allow us to identify current land uses as well as track changes from 2000 to today that are applicable to diverse conservation goals. Higher resolution 1-2 meter geospatial data products will be developed for selected urban areas (e.g., the TCMA, Duluth, Rochester, St. Cloud, Alexandria and Detroit Lakes) as well as additional areas of the state deemed especially sensitive that would benefit from higher resolution data (e.g., sensitive lake districts such as the Whitefish, Gull and forested areas being converted to development/agriculture uses). The University of Minnesota will distribute all of the data and statistics in easily displayed GIS-compatible format through existing information websites including the DNR s Data Deli and MnGeo and the UMN Remote Sensing website (www.land.umn.edu) as well as provide website tutorials. Three data use workshops will be conducted for project stakeholders at appropriate locations. 07/24/2013 Page 2 of 6 II. DESCRIPTION OF PROJECT ACTIVITIES Activity 1: Update the statewide land cover map for 2013/2014. Budget: 160,000 The State s land cover data will be updated consistent with existing classifications: cropland, forests, wetlands, grasslands, shrublands, wetlands, water and urban/developed + impervious surfaces) for 2013/2014. Outcome Completion Date 1. Acquire satellite data and process for 54 million acres. January, Generate land cover classification datasets for Minnesota June, Map municipality/mcd impervious surface area for 2,367 MCDs. December, 2015 Activity 2: Generate high resolution land cover/use products for selected Greater Minnesota areas and TCMA. Budget: 155,000 Acquire, process and combine high resolution satellite data with existing LiDAR data for improved land cover classification (1-2 meters). Land cover and impervious surfaces will be determined for selected Greater Minnesota urban areas (St. Cloud, Rochester, Duluth, and others) and the seven-county Twin Cities Metro Area. Outcome Completion Date 1. Acquire state-of-the-art satellite data and integrate with existing LiDAR data November, 2014 covering ~1.9 million acres of TCMA + ~100,000 acres Greater MN areas. 2. Generate land cover products (GIS) for 2.0 million acres August, Define impervious surfaces (GIS)for ~350 cities/townships December, 2015 Activity 3: Distribute updated land cover and train users. Budget: 63,718 The project will freely distribute data and statistics of seven standard land covers and percent impervious surface area, in an ArcGIS database and MapServer application for both metro and statewide areas for updating of watershed computer modeling efforts. MapServer enables display and analysis of spatial data over the Internet. Products and statistics summarizing the classifications by city, township, county, ecoregion, watershed and catchment will be generated and added to the online database available at land.umn.edu at no cost. Three training sessions will be conducted by the University of Minnesota using existing BWSR, MAWD, and SWCD venues for cities, counties and professional engineering services. Outcome Completion Date 1. Convert into GIS datasets and web-based maps, along with area statistics by December, 2015 county, city/township, ecoregion, watershed and catchment for 54 million acres. 2. User training and distribution of map and GIS products on UM website June, 2016 III. PROJECT STRATEGY A. Project Team/Partners Joseph Knight and Marvin Bauer, University of Minnesota. Metropolitan Council, MPCA, DNR, MnGeo, SWCD, BWSR, MAWD B. Timeline Requirements. The Project will be completed in two years. C. Long-Term Strategy and Future Funding Needs. This project directly addresses LCCMR funding priority A. Foundational Natural Resource Data and Information. The proposed project s state-of-the-art data will be used by most land and water management entities. Minnesota Geospatial Information Office and other agencies will need to assign responsibility for future updating of land cover as it has been an orphan effort for 20 + years. 2 07/24/2013 Page 3 of 6 2014 Detailed Project Budget Project Title: Mapping Landscapes for Better Land and Water Management IV. TOTAL ENRTF REQUEST BUDGET (2 years) BUDGET ITEM (See Guidance on Allowable Expenses , p. 13) AMOUNT Personnel: Research Associate % 152,574 Resarch Fellow % 125,216 Information Technology Specialist. 1 10% + 1 year 30% 21,467 Faculty (Knight), 2 years, 1 month salary per year 17,176 Undergraduate Research Assistant, 1,200 hours 12,888 Training: Training Workshops, three workshops in Metro and Greater 5,000 ea. Equipment/Tools/Supplies: RapidEye satellite data, 11,869 sq. Acquisition (Fee Title or Permanent Easements): Travel: Field/reference data collection. 3, = 1,695; plus 27 days per 123 = 3,305per 123 = 3,075 Additional Budget Items: General operating supplies and services such as data storage, poster printing, UMN remote sensing lab user fees (2x1000/yr) TOTAL ENVIRONMENT AND NATURAL RESOURCES TRUST FUND REQUEST = 329,321 15,000 25,197 5,000 4, ,718 V. OTHER FUNDS SOURCE OF FUNDS AMOUNT Status Other Non State Being Applied to Project During Project Period: Other State Being Applied to Project During Project Period: In kind Services During Project Period: Salaries and Fringe benefits (28,380) for Marvin Bauer 93,380 Secured (10% effort) will be provided by the University. Computer and image processing facilities will be provided by the University (estimated value, 65,000). In kind Services During Project Period, continued: High resolution (0.5 to 2.4 meter) commercial ~2,500,000 Likely satellite imagery for most of Minnesota is expected to be available to this project at no cost. Negotiations are ongoing. Remaining from Current ENRTF Appropriation (if applicable): N/A Funding History: This project also will make heavy use of the state funded lidar acquisition. It will also benefit from the NWI update that is funded by the ENRTF. Dr. Knight has led the methods research and development for the statewide NWI update Phases 1 3 via sub contract with MNDNR. The results from the NWI update will be incorporated into the proposed updated land cover products, as available. Dr. Knight also has a long history of successful land cover related research projects funded by the U.S. Fish and Wildlife Service, the U.S. Dept. of Agriculture, and the National Science Foundation. C:\Users\dgriffit\Documents\ /24/2013 proposals\new PDFs MB review\knight_joseph-3budget_ xls Page 4 of 6 Thed dataproductssdevelopedinthisprojecttwill besu uitablefordirrectincorporaationintoresource Minn nesotamanaggers decisionmaking.the eseimages show wexamplesoffthetypesoffhighresolutiion,high inforrmationconte entproductstthatwewillp produce. a b c d e DARpointclou udforbloomingtonmn(im mageshowsllidaronly),((b)worldview w 2,0.5 mim mage Figgure1:(a)LiD forbloomington,(c)landco overclassificaationusinglid DARandWorrldview 2,(d)Imperviousssurfaceperceentages ercentagesbyyparcel. byyparcel,(e)trreecanopype 07/24/2013 Page 5 of 6 Project Manager Qualifications/Organization Description Project Manager: Joseph Knight is an Assistant Professor of Remote Sensing in the Department of Forest Resources at the University of Minnesota, Twin Cities. Dr. Knight studies how changing land use affects both natural resources and humans. Human land use is a significant force shaping our planet. As land use intensifies due to increasing population and affluence, environmental effects also increase. Dr. Knight's research focuses on the use of geospatial science methods such as remote sensing, image analysis, geographic information systems (GIS), and statistics to understand and quantify the impacts of land use on our environment and natural resources. The improved understanding provided by this research of the dynamics of land use effects on Earth s ecosystems allows us to address more effectively current challenges such as climate change, deforestation, and loss of wetlands, and to develop sustainable land use practices to avoid or mitigate future environmental problems and the resulting impacts on humans. He can be contacted at or Dr. Marvin Bauer, professor of Remote Sensing at the University of Minnesota, who will be the co-investigator. His research and teaching focuses on applications of remote sensing to monitor land, vegetation, and water resources. Recent research projects have concentrated on monitoring lake water quality, impervious surface mapping, and land cover classification and change detection and analysis. He is a fellow of the American Society of Photogrammetry and Remote Sensing and has received the William T. Pecora Award from NASA and Department of Interior, NASA Distinguished Public Service Medal, ASPRS SAIC Estes Memorial Teaching Award, and Minnesota GIS/LIS Consortium Lifetime Achievement Award. He also serves as editor-in-chief of Remote Sensing of Environment. Drs. Knight and Bauer will be assisted by two research staff supported by Environment and Natural Resources Trust Funds. Facilities: The Remote Sensing and Geospatial Analysis Laboratory is a focal point of research, instruction, and outreach in applications of remote sensing and GIS at the University of Minnesota. The goal of the Laboratory is to research and develop approaches for applying geospatial imagery and analysis to inventory and monitor land and water resources. The Laboratory works closely with agencies such as the Minnesota Pollution Control Agency, Minnesota Department of Natural Resources, Metropolitan Council, U.S. Forest Service, and U.S. Fish and Wildlife Service. The Laboratory has state-of-the-art workstation-based facilities for digital image processing and analysis. Software systems include ERDAS Imagine, ArcGIS, S-Plus spatial statistics, ecognition, and MySQL. 1 07/24/2013 Page 6 of 6
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