National Agricultural Decision Support System (NADSS)

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National Agricultural Decision Support System
(NADSS)
An Application of Geo-Spatial Decision Support to
Agriculture Risk Management
PI Steve Goddard
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What is NADSS?

• The National Agricultural Decision Support System
  (NADSS) is a distributed web-based application to
  help decision makers assess various risk factors
• our research has focused primarily on drought
• we are investigating ways to use the system to
  create tools to aide in the identification of
  risk areas
• Using various data and computational indices we
  are able to create tabular data for analysis as
  well as maps for further spatial analysis

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The Partnership

• National Science Foundations Digital Government
  Program
• National Drought Mitigation Center, University of
  Nebraska--Lincoln
• High Plains Regional Climate Center, UNL
• USDA Risk Management Agency, Natural Resources
  Conservation Service, National Agricultural
  Statistics Service, and the Farm Service Agency
• USGS EROS Data Center
• Nebraska Research Initiative on Geospatial
  Decision Support Systems
• GIS Workshop

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Funding

• Source NSF 1 Million, 7/011/05
• Title DIGITAL GOVERNMENT A Geospatial Decision
  Support System for Drought Risk Management
• Principal Investigators Steve Goddard, Jitender
  Deogun, Michael J. Hayes, Kenneth G. Hubbard,
  Stephen Reichenbach, Peter Revesz, W.J. Waltman,
  Donald A. Wilhite, and Mark D. Svoboda,
  University of Nebraska-Lincoln (UNL), Lincoln,
  Nebraska 68588-0115. (goddard_at_cse.unl.edu)
• Co-Investigators Sheri K. Harms, University of
  Nebraska-Kearney J.S. Peake, University of
  Nebraska-Omaha Ray Sinclair and Sharon Waltman,
  USDA Natural Resources Conservation Service,
  National Soil Survey Center, Lincoln, NE and
  Marcus Tooze, GIS Workshop, Lincoln, NE.

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Funding

• Source USDA RMA/FCIC 1.3 Million, 10/023/05
• Title RISK ASSESSMENT AND EXPOSURE ANALYSIS ON
  THE AGRICULTURAL LANDSCAPE A Holistic Approach
  to Spatio-Temporal Models and Tools for
  Agricultural Risk Assessment and Exposure
  Analysis
• Principal Investigators Steve Goddard, Jitender
  Deogun, Michael J. Hayes, Kenneth G. Hubbard, H.
  Douglas Jose, Stephen Reichenbach, W.J. Waltman,
  Donald A. Wilhite, and Mark D. Svoboda,
  University of Nebraska-Lincoln (UNL), Lincoln,
  Nebraska 68588-0115. (goddard_at_cse.unl.edu)
• Co-Investigators Norman Bliss, EROS Data
  Center Sioux Falls, SD Sheri K. Harms,
  University of Nebraska-Kearney and J.S. Peake,
  University of Nebraska-Omaha Ray Sinclair and
  Sharon Waltman, USDA Natural Resources
  Conservation Service, National Soil Survey
  Center, Lincoln, NE and Marcus Tooze, GIS
  Workshop, Lincoln, NE.

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NADSS Web Site

• http//nadss.unl.edu/

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Current Tools

• Our current tools apply risk analysis
  methodologies to the study of drought
• Integration of basic models with data generates
  information for analysis by decision makers
• Information can be gathered at any resolution for
  which we have data
• http//nadss.unl.edu

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Current NADSS Tools
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Current NADSS Tools
Planting date guide tool with date sliders,
numerical information, and navigation
buttons. Sample risk analysis maps of growing
non-irrigated corn in NE and Custer county.
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Proposed NADSS Tools
An Irrigation Scheduling tool that will help
producers better manage their limited water
resources, decrease the use of energy for
pumping, and decrease the risk of drought stress.
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Another Proposed NADSS Tool
A Crop-Specific Yield Prediction tool that will
provide the producer with an estimate of yield
based on the weather up to the current date and
projections of what it might be from the current
date to the end of the growing season.
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Another Proposed NADSS Tool
A Field Analyst tool that can, for example,
analyze the soil quality for a particular field
based on the NRCS Soil Rating for Plant Growth
(SRPG) index. It can also be used by a
producer to evaluate value added when new
fields are put into service or removed from
service.
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Another Proposed NADSS Tool Field Analyst
continued
Following the example using an SRPG analysis,
when both an original field and field addition
have been digitized, the Field Analyst provides
the user with the SRPG of the combined fields,
and whether the field addition had a positive or
negative affect on the overall soil quality.
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Building a Spatial View

• Data from information and knowledge layers are
  translated spatially and interpolated to provide
  a risk view for a defined area

Re-summarization of raster data Generation of
displayable images
Drought Indices
Soil Data
Climate Data
Reported Yields
Other Data Type
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Combining Risk Factors

• By combining several domain specific factors from
  our information layer we are able to create
  maps displaying the risk for states, regions or
  countries

Variables are spatially rendered
The user adjusts weight factors for each variable
The result is a spatial view of risk
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Conclusion

• We have developed the framework for a Distributed
  Geospatial Decision Support System architecture
  that can be applied to other problems and domains
• For example, we can integrate water models,
  economic models and even threat models into the
  system.

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Application Layer (user interface) e.g. Web
interface, EJB, servlets
Knowledge Layer e.g. Data Mining, Exposure
Analysis, Risk Assessment
Information Layer e.g. Drought Indices, Regional
Crop Losses
Data Layer e.g. Climate Variables, Agriculture
Statistics

• Any component can communication with components
  in other layers above or below it
• Each layer is tied to the spatial layer, allowing
  the data from any layer to be rendered spatially

Spatial Layer e.g. spatial analysis and rendering
tools