Satellite Data-Derived Real-Time Agricultural Management Decision Aids


Environmentally-sound agriculture increasingly is information-driven. Implementation of new management paradigms such as Integrated Pest Management and Integrated Crop Management requires ready access, by the manager, to environmental data. Satellite-based measurements and the Internet provide two key tools for this access.

We are developing management decision aids that derive much of their power from satellite data, made available quickly after collection. By assisting agricultural managers in some daily decisions, pesticide usage is reduced, energy is saved, and potential water quality impacts of crop production are minimized.

Information products will be made available to decision-makers by way of the World Wide Web, and/or satellite-based information transmission systems. A number of products (and almost products) have found their way to the Wi-Mn Coop. Extension Agric. Weather page.

Three decision aids are in various stages of development:

Estimated Evapotranspiration --Assisting potato farmers determine how much and when to irrigate, to minimize the amount of water and fertilizer reaching the groundwater beneath their crops.

Potato Foliar Disease Prediction --Predicting development of leaf blight disease on potatoes, allowing the growers to apply fungicide sprays only when necessary.

Cranberry Frost Prediction --Advising cranberry growers of the chance of night time frost in their marshes, both early in the day and as the evening develops.

The tools used to develop these decision aids are data sources and research models. The primary data sources are estimates of solar energy at the Earth's surface based on GOES-8 Satellite images and surface weather observations.

Two computer simulation models are being used in our work: Mesoscale model of the atmosphere above the United States to provide one and two day forecasts, and a detailed Plant-environment model to assist the development of simple surface models that are interfaced with the mesoscale model to provide site-specific information.


TiSDat is part of a NASA-sponsored program to facilitate access to satellite data for all potential users. For technical and administrative background on the program, visit the Public Use of Remotely Sensed Data (RSD) page. A related site is the Remote Sensing Public Access Center.


We will be posting our progress regularly. For further information, contact Bill Bland at the Dept. of Soil Science, Univ. of Wisconsin-Madison Bill Bland, wlbland@facstaff.wisc.edu