The Soil and Landscape Analysis Laboratory supports innovative research activities that focus on spatial analysis of natural resources. The computer hardware and software housed within the lab provide valuable tools for students, faculty, and research staff to study the spatial dynamics of soil science, climatology, and hydrology.

The lab maintains detailed state-wide and field research site spatial databases of natural resource information that include soils, terrain, and landscape information at multiple scales. The lab is at the center of a departmental software alliance that allows users access to multiple GIS and remote sensing software packages at a reduced cost. Our users include students, faculty, and research staff that work on a variety of projects throughout soil, water, and climatic disciplines.

The goals of the Soil and Landscape Analysis Laboratory are to:

  • Expand the range and depth of spatial analysis and modeling capabilities for research applications
  • Provide opportunities for geographic information systems (GIS) and remote sensing training to students, faculty, and staff
  • Enable students and faculty to address landscape and regional issues requiring quantitative spatial analysis of soil, terrain, and natural resource data
  • Maintain and provide spatial databases to researchers and natural resource managers
  • Provide support and expertise on spatial analysis, terrain analysis, and modeling
  • Assist with the development, interpretation and use of digital soil mapping databases
  • Examples of the services and functions that the laboratory can provide include:

    Spatial Data Collection

  • On-screen digitizing
  • High-resolution scanning
  • Differential global positioning system data collection (DGPS)
  • Spatial Data Analysis

  • Digital terrain analysis
  • Spatial data modeling
  • Spatial data conversion
  • Quantitative statistical analysis
  • Manipulation, reclassification, and analysis of spatial data
  • Data Products
  • Internet delivery of spatial data
  • Internet delivery of databases for user-specified queries
  • Custom software extensions for spatial and image analysis
  • Customized spatial data and databases depending on research project
  • Hard copy large-format map prints and plots
  • Hardware

  • 5 Windows2000/NT multi-media workstations
  • 3 field collection and presentation Windows Laptops
  • Large-format Color InkJet Plotter (up to 42"X60")
  • Large-format Color Inkjet Printer (up to 13" X 19")
  • Differential global positioning system unit (DGPS)
  • High resolution color scanner
  • 2 Laser printers
  • Spatial/Terrain Analysis, Remote Sensing, Image Analysis, and Web Software
  • ESRI ArcGIS 8.3 Suite for Windows
  • ESRI ARC/INFO for Windows
  • ESRI Arcview
  • Erdas Imagine 8.7
  • Mapserv (internet delivery of spatial data)
  • IDRISI for Windows
  • Photoshop
  • Database Management and Statistical Software
  • SYSTAT
  • Spatial analysis is common to many fields of study and can frequently serve as the focal point for multi-disciplinary studies. Students, faculty, and staff are encouraged to consider the need for spatial analysis in their work and are invited to become involved with the lab. Students, faculty or staff with needs for spatial data analysis should contact Dr. Jay Bell or Joel Nelson.

    General questions about the facilities can be directed to slal@tc.umn.edu



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    University of Minnesota

    College of Agricultural Food and Environmental Sciences

    Department of Soil, Water, and Climate

    All rights reserved.