DocumentCode
2618779
Title
Novel algorithms for remote sensing of chlorophyll content in higher plant leaves
Author
Gitelson, Anatoly A. ; Merzlyak, Mark N. ; Grits, Yuri
Author_Institution
Remote Sensing Lab., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
Volume
4
fYear
1996
fDate
27-31 May 1996
Firstpage
2355
Abstract
The general features of reflectance spectra of higher plant leaves are considered with special reference to remote sensing of chlorophyll. Wavelengths with maximum sensitivity to chlorophyll content were found in the wide spectral range from 550 to 630 nm and near 700 nm. The wavelength of the red edge position of the reflectance spectrum correlated very closely with the reflectance at 550 and 700 nm. The ratios of reflectances in the near infra-red range of the spectrum (above 750 nm) to that at 700 nm RNIR/R700 and R NIR/R550 were directly proportional to the leaf chlorophyll content. Newly introduced algorithms make it possible precise chlorophyll estimation (with an error of less than 5 nmol/cm2) and probably could be applied to a number of plant species. They exhibit more than 6 times wider dynamic range than the widely used Normalized Difference Vegetation Index
Keywords
botany; geophysical techniques; remote sensing; 550 to 1000 nm; IR method; algorithm; chlorophyll content; geophysical measurement technique; higher plant leaves; infrared spectra; leaf; optical imaging; red edge position; reflectance spectra; reflectance spectrum; remote sensing; vegetation mapping; visible spectra; Cells (biology); Immune system; Infrared spectra; Laboratories; Physiology; Pigmentation; Reflectivity; Remote sensing; Stress; Vegetation mapping;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
Conference_Location
Lincoln, NE
Print_ISBN
0-7803-3068-4
Type
conf
DOI
10.1109/IGARSS.1996.516985
Filename
516985
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