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United States Department of Agriculture

Agricultural Research Service


item Doraiswamy, Paul
item Hollinger, Steven
item Sinclair, Thomas
item Stern, Alan
item Akhmedov, Bakhyt

Submitted to: Intnl Conference On Geospatial Information In Agriculture And Forestry
Publication Type: Abstract Only
Publication Acceptance Date: 9/18/2001
Publication Date: 11/5/2001
Citation: N/A

Interpretive Summary:

Technical Abstract: Monitoring regional agricultural crop condition has traditionally been accomplished using NOAA AVHRR (1 km) data. New methods are developed for assessing crop yields by integrating biophysical parameters retrieved from remotely sensed imagery with crop simulation models. The 1-km AVHRR imagery is unsuitable for retrieval of field level parameter and the Landsat data is not frequent enough for monitoring changes during the critical periods of crop growth. The MODIS imagery offers an opportunity for a better resolution and daily coverage required for operational applications. The objective of this research is to assess the application of MODIS data for operational crop condition and yields. Additionally, to compare the NASA-MODIS products, of Leaf Area Index (LAI) with independently derived LAI parameters from MODIS reflectance data. A Field study was conducted in McLean county Illinois, USA where twenty corn and soybean fields were monitored for crop reflectance, LAI and other growth parameters. A radiative transfer model was used to independently develop the LAI parameter from the MODIS 250-m data. The magnitude and spatial variability of crop yield estimates show significant difference, primarily due to errors in the classification of crop type. A comparison with the NASA derived MODIS vegetation parameters and independently derived parameters are presented.

Last Modified: 10/16/2017
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