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Remote estimation of chlorophyll content in higher plant leaves

 

作者: A. A. Gitelson,   M. N. Merzlyak,  

 

期刊: International Journal of Remote Sensing  (Taylor Available online 1997)
卷期: Volume 18, issue 12  

页码: 2691-2697

 

ISSN:0143-1161

 

年代: 1997

 

DOI:10.1080/014311697217558

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

Indices for the non-destructive estimation of chlorophyll content were formulated using various instruments to measure reflectance and absorption spectra in visible and near-infrared ranges, as well as chlorophyll contents from several non-related species from different climatic regions. The proposed new algorithms are simple ratios between percentage reflectance at spectral regions that are highly sensitive (540 to 630nm and around 700nm) and insensitive (nearinfrared) to variations in chlorophyll content: R NIR / R 700 and R NIR / R 550. The developed algorithms predicting leaf chemistry from the leaf optics were validated for nine plant species in the range of chlorophyll content from 0.27 to 62.9mug cm -2. An error of less than 4.2 mugcm -2 in chlorophyll prediction was achieved. The use of green and red (near 700nm) channels increases the sensitivity of NDVI to chlorophyll content by about five-fold.

 

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