Photogrammetric Engineering & Remote Sensing · 1980 · 202 citations · 0 references
AgriculturePlant BiologyPlant SciencesCrop SensingPlant EcologyRemote SensingCrop Spectral SignaturesInfrared Remote SensingLeaf Area Index EstimationSpectral PhenotypingVegetation IndicesVegetation MonitoringCanopy Growth MonitoringCrop Biomass EstimationCrop Spectral SensingLeaf Area EstimationLeaf Spectral PropertiesRemote Sensing Biomass EstimationRemote Sensing Of BiomassSpectral Radiance
Red and photographic infrared spectral radiance have been correlated with soybean total leaf area index, green leaf area index, chlorotic area index, green leaf biomass, chlorotic leaf biomass, and total biomass. The most significant correlations were found to exist between the spectral data and green leaf area index and/or green leaf biomass. These findings demonstrate that ground based remote sensing data can supply information basic to soybean canopy growth, development, and status by non-destructive determination of the green leaf area or green leaf biomass.