Skip to main content
ARS Home » Midwest Area » Columbia, Missouri » Cropping Systems and Water Quality Research » Research » Publications at this Location » Publication #154892
Title: MAPPING WITHIN-FIELD VARIABILITY USING AIRBORNE IMAGING SYSTEMS: A CASE STUDY FROM MISSOURI PRECISION AGRICULTURE

Author
item HONG, SUK YOUNG - INST AG SCI&TECH S KOREA
item Sudduth, Kenneth - Ken
item Kitchen, Newell
item PALM, HARLAN - UNIV OF MO
item WIEBOLD, WILLIAM - UNIV OF MO

Submitted to: Asian Conference on Remote Sensing
Publication Type: Proceedings
Publication Acceptance Date: 11/7/2003
Publication Date: 11/7/2003
Citation: HONG, S.Y., SUDDUTH, K.A., KITCHEN, N.R., PALM, H.L., WIEBOLD, W.J. 2003. MAPPING WITHIN-FIELD VARIABILITY USING AIRBORNE IMAGING SYSTEMS: A CASE STUDY FROM MISSOURI PRECISION AGRICULTURE [CD-ROM]. PROCEEDINGS 24TH ASIAN CONFERENCE ON REMOTE SENSING AND 2003 INTERNATIONAL SYMPOSIUM ON REMOTE SENSING. KOREAN SOCIETY OF REMOTE SENSING, SEOUL, KOREA.

Interpretive Summary:

Technical 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.