Thematic Workshop on

Standardization and Exchange of Land Use and Cover Information

Wednesday, April 27, 2005Chicago, Illinois

Agenda

• Introductions (Names, Organization, LU/LC experiences)

• Facilities, Breaks, Lunch Arrangements

• Background– Workshop Goals and Objectives– RDX Conferences / Workshops– USEPA/EC Conference Call– CSO Coastal Managers Workshop– Great Lakes Regional Collaboration– LU/LC Mapping Program Inventory

• Morning Presentations

• Afternoon Group Discussions

• Expected Accomplishments

Challenges

1. Clearly define mapping requirements as a function of application

needs

2. Discriminate between land cover and land use mapping emphasis

3. Assess scale / resolution needs

4. Assess classification details required

5. Anticipate hurdles for land use / cover exchange

Afternoon Group Discussions

• Classification Schemes1. What are the most important classification categories?

2. What are the preferred characteristics of a basin-wide classifications scheme?

• Acquisition Requirements1. What is the preferred spatial resolution/scale of land use or land cover polygons

or grid cells?

2. What frequency of data collection is needed?

• Exchange Opportunities 1. What program activities need land use and land cover data to be shared between

jurisdictions?

2. What barriers need to be overcome to allow for exchange of data between jurisdictions?

NOAA C-CAP Program

• Land cover and land cover change analyses were conducted for the entire U.S. coastal zone of the Great Lakes using Landsat Thematic Mapper and Landsat Enhanced Thematic Mapper satellite imagery.

• All states were completed in fall 2002, except Michigan. Michigan was completed in fall 2003.

NOAA C-CAP Program

• Environmental Characterization – Lake St. Clair Habitat Restoration and Conservation Project

• Great Lakes Commission and NOAA CSC to characterize the coastal habitats of Lake St. Clair.

• As part of the project, land cover and land cover change analyses were conducted for the Canadian side of the Lake St. Clair area.

MRLC – NLCD

• 29 classes of land cover data derived from the imagery, ancillary data, and derivatives

• normalized imagery for three time periods per path/row;

• Ancillary data, including a 30 m Digital Elevation Model (DEM) derived into slope, aspect and slope position;

• Per-pixel estimates of percent imperviousness and percent tree canopy;

MRLC – NLCD

• Water • 11 Open Water• 12 Perennial Ice/Snow

• Developed• 21 Low Intensity Residential• 22 High Intensity Residential• 23

Commercial/Industrial/Transportation

• Barren• 31 Bare Rock/Sand/Clay• 32 Quarries/Strip Mines/Gravel Pits• 33 Transitional

• Forested Upland • 41 Deciduous Forest• 42 Evergreen Forest• 43 Mixed Forest

• Shrubland• 51 Shrubland

• Non-natural Woody• 61 Orchards/Vineyards/Other

• Herbaceous Upland • 71 Grasslands/Herbaceous

• Herbaceous Planted/Cultivated• 81 Pasture/Hay• 82 Row Crops• 83 Small Grains• 84 Fallow• 85 Urban/Recreational Grasses

• Wetlands• 91 Woody Wetlands• 92 Emergent Herbaceous

Wetlands

Land Cover Classification System Key - Rev. July 20, 1999

MRLC Imagery

• data referenced to the National Albers Equal map projection; • imagery re-sampled using cubic convolution to 30m pixels, and; • all 8 TM bands processed (including thermal and pan bands) for

Landsat 7 data.

1999 2000 2001

Available - Sensor Reflectance Dataset and Terrain Corrected

NRCan - CCRS

• Landsat 7 Orthorectified Imagery– the orthoimage data

set is a complete set of cloud-free (less than 10%) orthoimages covering the Canadian landmass and accuracy of 30 metres or better in the South and 50 metres or better in the North for a 90% level of confidence.

Available at http://www.geobase.ca

Michigan DNR – MIRIS – Current Use Inventory

• 82 Counties covered by 1978 Land Use Mapping project

• Referenced to Michigan Georef Coordinate System

• 1:24,000 scale

• Based on photo-interpretation of color aerial photography

• 54 detailed land use categories

• Intermittent updates for selected counties for specific projects and by regional planning agencies

Wisconsin DNR - WISCLAND

• The WISCLAND Land Cover data set is a raster representation of vegetation/land cover for the state of Wisconsin.

• The source data were acquired from the nationwide MRLC from 1992.

• The data should be used at a scale of at least 1:40,000