Relationship between cotton yield and soil electrical conductivity, topography, and Landsat imagery

Understanding spatial and temporal variability in crop yield is a prerequisite to implementing site-specific management of crop inputs. Apparent soil electrical conductivity (EC a ), soil brightness, and topography are easily obtained data that can explain yield variability. The objectives of this s...

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Bibliographic Details
Published in:Precision agriculture 2012-12, Vol.13 (6), p.678-692
Main Authors: Guo, Wenxuan, Maas, Stephan J., Bronson, Kevin F.
Format: Article
Language:English
Subjects:
Agricultural production
Agriculture
Atmospheric Sciences
Biomedical and Life Sciences
Chemistry and Earth Sciences
Computer Science
Corn
Cotton
Crop management
Crop yield
Global positioning systems
GPS
Growing season
Landsat
Life Sciences
Physics
Remote sensing
Remote Sensing/Photogrammetry
Soil conductivity
Soil properties
Soil Science & Conservation
Soil sciences
Soil texture
Sorghum
Statistics for Engineering
Studies
Topography
Variability
Vegetation mapping
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Summary:Understanding spatial and temporal variability in crop yield is a prerequisite to implementing site-specific management of crop inputs. Apparent soil electrical conductivity (EC a ), soil brightness, and topography are easily obtained data that can explain yield variability. The objectives of this study were to evaluate the spatial and temporal variability in cotton ( Gossypium hirsutum L.) yield and determine the relationship between yield and soil EC a , topography, and bare soil brightness at a field level in multiple growing seasons. A 50-ha field grown with cotton from 2000 to 2003 and 2005 on the Southern High Plains of Texas was selected for this study. Yield was negatively correlated with bare soil brightness (−0.47 
ISSN:1385-2256
1573-1618
DOI:10.1007/s11119-012-9277-2