Predicting chlorophyll meter readings with aerial hyperspectral remote sensing for in-season site-specific nitrogen management of corn

摘要

The objective of this study is to determine how well chlorophyll meter (CM) readings compare with hyperspectral remote sensing using a combination of different spectral bands. Two field experiments were conducted in Minnesota, USA during 2005 involving different N application rates and timings on a corn-soybean rotation field and a corn-corn rotation field. Four flights were made during the growing season using the AIS A Eagle Hyperspectral Imager and CM readings were collected at four or five different growth stages. Multiple regression analyses indicated that the combination of 3-7 bands could explain 68-93% and 84-95% of the variability in CM readings in the corn-soybean and corn-corn rotation fields, respectively, showing the potential of applying the CM and aerial hyperspectral remote sensing technologies for in-season site-specific N management.