An Approach for Indirect Determination of Leaf Area Index
S. D. Logsdon, C. A. Cambardella
Abstract
S. D. Logsdon, C. A. Cambardella
Abstract
Abstract. Leaf area index (LAI) is important in crop models, but determination of LAI can be challenging for crops and mixtures of crops. The purpose of this study was to determine LAI indirectly from ground cover (determined from photographic images) and canopy height using defined relationships based on crop coefficients. Images of plant canopies were obtained to estimate the green cover fraction. An equation was derived to determine LAI from ground cover and plant height, and the technique was tested on different crops. For three of the measurement dates, the data were compared to LAI measurements obtained with a LAI-2200 plant canopy analyzer. The trend was the same for the two LAI procedures, but there was some scatter. The photographic technique was adequate for LAI determination. Keywords: Ground cover, Plant canopy cover, Plant height.
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Abstract. Leaf area index (LAI) is important in crop models, but determination of LAI can be challenging for crops and mixtures of crops. The purpose of this study was to determine LAI indirectly from ground cover (determined from photographic images) and canopy height using defined relationships based on crop coefficients. Images of plant canopies were obtained to estimate the green cover fraction. An equation was derived to determine LAI from ground cover and plant height, and the technique was tested on different crops. For three of the measurement dates, the data were compared to LAI measurements obtained with a LAI-2200 plant canopy analyzer. The trend was the same for the two LAI procedures, but there was some scatter. The photographic technique was adequate for LAI determination. Keywords: Ground cover, Plant canopy cover, Plant height.
Key concepts: Leaf area index, Plant canopy, Canopy, Plant cover, Remote sensing, Cover (algebra), Environmental science, Mathematics