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Published on: August 9, 2019
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[Estimation of chlorophyll content in apple tree canopy based on hyperspectral parameters]
Bei Pan1, Geng-Xing Zhao, Xi-Cun Zhu
1National Engineering Laboratory for Efficient Utilization of Soil and Fertilizer Resources, College of Resources and Environment, Shandong Agricultural University, Tai'an 271018, China. pb_land@163.com
Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|October 29, 2013
Summary
Hyperspectral technology accurately estimates apple canopy chlorophyll content using specific vegetation indices. This method provides a rapid approach for diagnosing apple tree nutrition and monitoring growth.
Area of Science:
- Agricultural remote sensing
- Plant physiology
- Spectroscopy
Context:
- Apple tree canopy reflectance was measured during the spring shoots stopping growth period.
- Hyperspectral data acquisition utilized an ASD FieldSpec3 field spectrometer.
Purpose:
- To identify spectral parameters correlated with chlorophyll content.
- To develop a model for estimating apple canopy chlorophyll content using vegetation indices.
Summary:
- Sensitive spectral bands for apple canopy chlorophyll content were identified between 400-1350 nm.
- The vegetation index CCI (D(794)/D(763)) demonstrated strong correlation with chlorophyll content.
- A predictive model using CCI was established as the optimal method for chlorophyll estimation.
Impact:
- Enables rapid and accurate estimation of apple canopy chlorophyll content.
- Provides a theoretical foundation for efficient apple tree nutrition diagnosis and growth monitoring.
