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Research Project:
Evaluating Aircraft-Based Hyperspectral Data to Assess Field-Scale Crop Variability in the Midwest
Location:
Agricultural Land and Watershed Management Research
Project Number: 3625-12660-002-18
Project Type:
Specific C/A
Start Date: Jul 28, 2003
End Date: Jun 30, 2005
Objective:
1) Evaluate the role of aircraft remote sensing to quantify crop stress patterns within production fields, 2) Evaluate the seasonal changes in the spatial patterns across fields induced by soil differences and crop management, and 3) Evaluate the role of remotely sensed information in the development of crop assessment and risk management tools for agriculture.
Approach:
Fields have been selected across Iowa, Illinois, and Missouri to evaluate the role of remotely sensed data in crop condition assessment. These fields represent typical production fields in the Corn Belt, however, have specific management practices applied across the field that will induce variation in crop response beyond the normal soil differences. Remotely sensed data will be obtained with a hyperspectral scanner mounted on an aircraft for four times during the growing season. These data will be combined with ground-based observations to determine the relationship between remotely sensed data and agronomic response. Aircraft data will be combined with information obtained from Landsat and SPOT satellite platforms to evaluate the appropriate pixel size for field scale assessment of crop condition.
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