Mapping herbage biomass and nitrogen status in an Italian ryegrass (Lolium multiflorum L.) field using a digital video camera with balloon system

Kensuke Kawamura; Yuji Sakuno; Yoshikazu Tanaka; Hyo-Jin Lee; Jihyun Lim; Yuzo Kurokawa; Nariyasu Watanabe

doi:10.1117/1.3659893

1 January 2011 Mapping herbage biomass and nitrogen status in an Italian ryegrass (Lolium multiflorum L.) field using a digital video camera with balloon system

Kensuke Kawamura, Yuji Sakuno, Yoshikazu Tanaka, Hyo-Jin Lee, Jihyun Lim, Yuzo Kurokawa, Nariyasu Watanabe

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 5, Issue 1, 053562 (January 2011). https://doi.org/10.1117/1.3659893

Abstract

Improving current precision nutrient management requires practical tools to aid the collection of site specific data. Recent technological developments in commercial digital video cameras and the miniaturization of systems on board low-altitude platforms offer cost effective, real time applications for efficient nutrient management. We tested the potential use of commercial digital video camera imagery acquired by a balloon system for mapping herbage biomass (BM), nitrogen (N) concentration, and herbage mass of N (Nmass) in an Italian ryegrass (Lolium multiflorum L.) meadow. The field measurements were made at the Setouchi Field Science Center, Hiroshima University, Japan on June 5 and 6, 2009. The field consists of two 1.0 ha Italian ryegrass meadows, which are located in an east-facing slope area (230 to 240 m above sea level). Plant samples were obtained at 20 sites in the field. A captive balloon was used for obtaining digital video data from a height of approximately 50 m (approximately 15 cm spatial resolution). We tested several statistical methods, including simple and multivariate regressions, using forage parameters (BM, N, and Nmass) and three visible color bands or color indices based on ratio vegetation index and normalized difference vegetation index. Of the various investigations, a multiple linear regression (MLR) model showed the best cross validated coefficients of determination (R²) and minimum root-mean-squared error (RMSECV) values between observed and predicted herbage BM (R² = 0.56, RMSECV = 51.54), Nmass (R² = 0.65, RMSECV = 0.93), and N concentration (R² = 0.33, RMSECV = 0.24). Applying these MLR models on mosaic images, the spatial distributions of the herbage BM and N status within the Italian ryegrass field were successfully displayed at a high resolution. Such fine-scale maps showed higher values of BM and N status at the bottom area of the slope, with lower values at the top of the slope.

©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Kensuke Kawamura, Yuji Sakuno, Yoshikazu Tanaka, Hyo-Jin Lee, Jihyun Lim, Yuzo Kurokawa, and Nariyasu Watanabe "Mapping herbage biomass and nitrogen status in an Italian ryegrass (Lolium multiflorum L.) field using a digital video camera with balloon system," Journal of Applied Remote Sensing 5(1), 053562 (1 January 2011). https://doi.org/10.1117/1.3659893

Published: 1 January 2011

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