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Activity Number:
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401
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Type:
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Invited
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Date/Time:
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Wednesday, August 1, 2007 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics and the Environment
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| Abstract - #307959 |
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Title:
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Markov Random Fields, Remote Sensing, and Predicting Crop Yields
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Author(s):
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Stephan Sain*+
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Companies:
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National Center for Atmospheric Research
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Address:
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1850 Table Mesa Drive, Boulder, CO, 80305,
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Keywords:
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Spatial/temporal models ; Multivariate models ; Maximum likelihood
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Abstract:
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Predicting crop yields is a problem of vital interest to researchers and policy makers. Remote sensing data can be of great use in this problem as it is a useful integration of weather, farming practice, etc. In this talk, we will incorporate remotely sensed data into a multivariate, spatial-temporal Markov random field model to simultaneously predict yields of corn and wheat. Details of the model will be covered as well as a computationally efficient approach to parameter estimation. Results will also be discussed.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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