Mohamed, N., El-Shanhorey, N., Elsayed, S. (2022). Remotely Identification and Differentiate of Some Family Fabaceae Species in Antoniadis Garden Using Spectral Reflectance Measurements. test, 13(2), 253-274. doi: 10.21608/eajbsh.2022.284434
Nashwa H. Mohamed; Nader A. El-Shanhorey; Salah E. Elsayed. "Remotely Identification and Differentiate of Some Family Fabaceae Species in Antoniadis Garden Using Spectral Reflectance Measurements". test, 13, 2, 2022, 253-274. doi: 10.21608/eajbsh.2022.284434
Mohamed, N., El-Shanhorey, N., Elsayed, S. (2022). 'Remotely Identification and Differentiate of Some Family Fabaceae Species in Antoniadis Garden Using Spectral Reflectance Measurements', test, 13(2), pp. 253-274. doi: 10.21608/eajbsh.2022.284434
Mohamed, N., El-Shanhorey, N., Elsayed, S. Remotely Identification and Differentiate of Some Family Fabaceae Species in Antoniadis Garden Using Spectral Reflectance Measurements. test, 2022; 13(2): 253-274. doi: 10.21608/eajbsh.2022.284434

Remotely Identification and Differentiate of Some Family Fabaceae Species in Antoniadis Garden Using Spectral Reflectance Measurements

Egyptian Academic Journal of Biological Sciences, H. Botany
Volume 13, Issue 2, December 2022, Pages 253-274    PDF (1.91 M)
Document Type: Original Article
DOI: 10.21608/eajbsh.2022.284434
Authors
Nashwa H. Mohamed1; Nader A. El-Shanhorey2; Salah E. Elsayed3
1Timber Trees Research Department, Horticulture Research Institute, Agriculture Research Center, Alexandria, Egypt.
2Botanical Gardens Research Department, Horticultural Research Institute, Agriculture Research Center, Alexandria, Egypt.
3Evaluation of Natural Resources Department, Environmental Studies and Research Institute, Sadat City University, Egypt
Abstract
This research was carried out in Antoniadis Garden, Alexandria city, Egypt, on trees of fourteen genera belong to family fabaceae, to study the differences on their leaves spectral  properties, using some vegetation indices "NDVI, SR, IR/R, IR/G, RE, REP and DN". Also, spectral reflectance curve of each tree species and for each and both leaf surface was drawn to examine the ability of spectral measurements and vegetation indices to differentiate among tree species. Moreover, leaves content of total chlorophyll was determined and it's correlation to studied indices was examined. Results showed that all studied indices can successfully differentiate among trees species and showed a highly significant differences between species. Moreover, spectral curve of each plant species were obviously separated for each and both leaf surface. It is manifested that Green and NIR regions are clearly separated between spectral curves of leaves according to their color, thickness and internal structure, so this electro-magnetic radiation of light can be used successfully to classify plant species. Also, a highly correlation was found between total chlorophyll content and studied vegetation indices
Keywords
Fabaceae; remote sensing; vegetation indices; NDVI; SR; IR/R; IR/G; RE; REP index; spectral curve; total chlorophyll
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