Abstract
Remotely sensed electromagnetic reflectance data can provide at relatively low cost a set of detailed, spatiallydistributed data on plant growth and development. Vegetation indices based on algebraic combinations of differentwavelength bands are especially useful in summarizing reflectance data. One of the most commonly used vegetationindices is the normalized difference vegetation index, or NDVI. The objective of this study was to determine whethermeasurements based on the NDVI could provide information useful for site-specific management of cotton. Aerialphotographs were taken of replicated Acala cotton field experiments in California in which the treatment was water ornitrogen stress level. NDVI integrated over time showed a significant correlation with lint yield in those experiments inwhich there was a significant stress effect on yield. The spatiotemporal pattern of NDVI reflected stress factors and wasapproximately coincident with the onset of measurable water stress. NDVI tended to indicate the presence of nitrogenstress even in those cases where the stress did not result in a significant yield reduction. In a study of the correlation ofNDVI with late season plant mapping indices NDVI was correlated with nodes above white flower and strongly correlatedwith nodes above cracked boll. An alternative vegetation index, the relative nitrogen vegetation index, was not better thanNDVI as an indicator of nitrogen stress.
Published Version
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