Nondestructive Estimation of Nitrogen Status and Vegetation Index of Oilseed Rape Canopy Using Multi-Spectral Imaging Technology

作者：Liu, Fei; Kong, Wenwen; He, Yong^*

来源：Sensor Letters, 2011, 9(3): 1126-1132.

DOI：10.1166/sl.2011.1374

• Multi-Spectral Imaging
• Oilseed Rape
• Nitrogen Content
• Vegetation Index

Rapid and non-destructive estimation of nitrogen content and vegetation index of crop is a potentially important application for both farm managers and researchers. A multi-spectral imaging sensor with three channels (Green, Red, Near-infrared) was used to estimate the nitrogen level and vegetation index of the oilseed rape canopy. The relationship between SPAD and nitrogen content was developed using a linear regression, and the correlation coefficient was 0.862, which meant that the SPAD values could be represent for the nitrogen content of oilseed rape. The linear models were developed between grey scale and reflectance value using a reference reflectance panel, and the regression coefficient was 0.9962 in Green channel. The SPAD values correlated with vegetation index was also studied, including normalized differential vegetation index (NDVI), NDVI (Green) and Ratio of near-infrared to green. The prediction correlation coefficients were 0.9415, 0.9362, and 0.9163 for SPAD-NDVI, SPAD-NDVI (Green), and SPAD-Ratio, respectively. The results indicated that the nitrogen content of oilseed rape canopy was successfully estimated by the vegetation index obtained by a multi-spectral sensor. This result also supplied a new approach for the on field monitoring of the growing status of oilseed rape.

• 出版日期2011-6
• 单位浙江大学