Proceedings of the KSRS Conference (대한원격탐사학회:학술대회논문집)
- 2003.11a
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- Pages.1049-1051
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- 2003
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- 1226-9743(pISSN)
Mapping Within-field Variability Using Airborne Imaging Systems: A Case Study from Missouri Precision Agriculture
- Hong, S.Y. (Soil Management Division, National Institute of Agricultural Science and Technology (NIAST), RDA) ;
- Sudduth, K.A. (Cropping Systems and Water Quality Research Unit, USDA Agricultural Research Service, University of Missouri) ;
- Kitchen, N.R. (Cropping Systems and Water Quality Research Unit, USDA Agricultural Research Service, University of Missouri) ;
- Palm, H.L. (Agronomy Department, University of Missouri) ;
- Wiebold, W.J. (Agronomy Department, University of Missouri)
- Published : 2003.11.03
Abstract
This study investigated the use of airborne image data to provide estimates of within -field variability in soil properties and crop growth as an alternative to extensive field data collection. Hyperspectral and multispectral images were acquired in 2000, 2001, and 2002 for central Missouri experimental fields. Data were converted to reflectance using chemically-treated reference tarps with known reflectance levels. Geometric distortion of the hyperspectral pushbroom sensor images was corrected with a rubber sheeting transformation. Statistical analyses were used to relate image data to field-measured soil properties and crop characteristics. Results showed that this approach has potential; however, it is important to address a number of implementation issues to insure quality data and accurate interpretations.