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DEPARTMENT of SOIL SCIENCE









GIS in Teaching and Learning in Soil

Science

Dr. Jeffrey G. White, Asst. Prof.

Dept. of Soil Science-NCSU

http://www.precisionag.ncsu.edu

SSC-CS-BAE

Courses with GIS Instructional Components

SSC/BAE/CS 440 : GIS in Production Agriculture

David Crouse (& Jeff White, SSC), Randy Weisz & Ron Heiniger (Crop

Science), Gary Roberson (BAE)

SGIS: precision agriculture GIS, incorporates ESRI's ArcObjects and ArcSDE

technology

GIS as core technology for precision agriculture, site-specific management

SSC590M: Remote Sensing Applications in Soil Science and

Agriculture

Jeff White (SSC)

ArcView Image Analysis Module

Illustrate basic principals and applications of remotely sensed image analysis

Courses Using GIS for Case Studies

SSC551: Soil Chemistry

Dean Hesterberg (w/ Rob

Austin, Spatial Info. Research

Lab.)

Group projects to develop in-

situ chemical treatment for

immobilizing soil contaminants

at remediation sites



SSC342: Soil Fertility Lab

John Havlin, Eugene

Kamprath, Nathan Nelson

“Balancing the P Budget of a

North Carolina Swine Farm”

NCSU Geospatial and Precision

Technologies Regional Education Initiative

GPTREI: David Crouse, PI; Jared Jenkins, Ext’n. Assoc.

Funded by USDA-IFAFS

Objectives:

Initiate new and expand existing extension programs to include

geospatial and precision agriculture technologies

Enhance problem-solving skills in students and agricultural

professionals

Enable learners worldwide to access GIS technology education

through an open courseware Internet training program.

Info: http://www.precisionag.ncsu.edu/GPTREI/index.htm

“OpenAg” portal: http://gptrei.soil.ncsu.edu/

The “GIS Academy”

Series of extension short courses designed to meet

needs of precision agriculture & GIS practitioners

Hands-on GIS activities in CALS GIS Education Lab.:

GIS 101: Introduction to GPS and GIS

GIS 111: Using GIS Resources on the Internet

GIS 121: Field Data Collection Using GPS

GIS 131: Remote Sensing in Soil Science and Crop Production

GIS 201: GIS for Managing Spatially Variable Soil Properties

GIS 301: Data Management for Site-Specific Agriculture

Soil Science: CALS GIS Education Lab

20 Windows XP workstations for students

1 Windows workstation & projector for instructor

ArcGIS, ArcView, and SGIS

GIS Lab: Current Data Holdings

Digital county soil maps for most of NC

Digital soil attribute data

National MUIR: Map Unit Interpretation Records

SSURGO: Soil Survey Geographic Database

Statewide summer and winter Landsat TM imagery

'93, '94, '95, Winter 2000

Statewide SPOT panchromatic (10 m) imagery

Custom-developed, hydrologically enforced DEM maps

Statewide EPA Reach File 3 hydrography

Numerous derived data layers to characterize

environmental risks of N, P, and pesticides

SSC-CALS Spatial Information Laboratory

Data Distribution System

Internet-based GIS data distribution system

MOA with NCCGIA to serve their data

Provide relevant natural resources GIS data layers to

NC Cooperative Extension Service personnel, CALS

students, faculty.

Data layers queried by county:

1m resolution black and white DOQQs

soil surveys

hydrography data

digital elevation data

primary streets and roads

http://www.spatiallab.ncsu.edu/sirl

Spatial Info. Research Lab Activities

Terrain Analysis at Multiple Scales

Effects on terrain attribute calculation and quantitative soil-

landscape modeling.

NC Nutrient Management Database Project

Internet-based nutrient utilization reporting system

Provides assessment of animal waste nutrients and waste

nutrient carrying capacities of NC counties

www.spatiallab.ncsu.edu/nutman

NC Soils Explorer

Geospatial & Precision Technologies Regional Education

Initiative

Custom designed ArcIMS application for on-line soils

exploration. >90 GB spatial data for all 100 counties

http://arcims.soil.ncsu.edu:8080/Website/CtyMaps/index.htm

Can now identify

soil properties









1 meter color infrared

with soils overtop

GIS in Graduate Learning & Research

Erosion prediction modeling (Amber Moore / McLaughlin)

Predicting P losses from agricultural soils (Nathan Nelson / Mikkelsen)

Optimizing N mgt. using remote sensing for corn (Ravi Sripada / Heiniger

-White) and wheat (Dianne Farrer / Weisz)

Assessing effects on groundwater NO3 of site-specific vs. uniform N mgt.

(Nan Hong / White)

Characterizing clayey aquitards for wetland restoration using ground-

penetrating radar (Ryan Szuch / White - Vepraskas)

GIS in Graduate Learning & Research

Using fieldscale apparent soil electrical conductivity to characterize

soil spatial variability for site-specific agriculture (JiSu Bang / White)

Using LIDAR DEMs to study relationships between terrain attributes

and soil C sequestration (Eric Anderson / Thompson)

Watershed-scale terrain evolution modeling (Chris Thaxton [PY] /

McLaughlin)

Evaluating relationships between crop yield, soil chemical

properties, and soil map units (Mindy Lohman / Osmond & White)

Evaluating spatial variability of residual soil N for improved fertilizer

management in corn (Jared Williams / Crozier)

Questions or Comments?


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