Remotely Identification and Differentiation of Ficus Species in Alexandria City Using Spectral Reflectance Measurements | ||||
| Alexandria Science Exchange Journal | ||||
| Article 8, Volume 39, OCTOBER- DECEMBER - Serial Number 4, December 2018, Page 629-641 PDF (824.36 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/asejaiqjsae.2018.19584 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Nashwa H. Mohamed* 1; Nader A. El-Shanhorey* 2; Salah E. Elsayed* 3 | ||||
| 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 ResourcesDepartment, Environmental Studies and Research Institute, Sadat City University, Egypt | ||||
| Abstract | ||||
| This study was carried out in Alexandria city on eighteen Ficus species (Family Moraceae), to examine how far the remote sensing is considered as an applicable technique and as vegetation indices can differentiate between vegetation cover species depending on spectral reflectance characteristics for each tree species leaves. Results showed that absorption and reflectance spectral characteristics of leaves of each tree species were significantly differentiated by spectral signature curve and average of digital number (DN), that gives the highest value for species with large, thick and dark green leaves such as Ficus platyphylla , Ficus lyrata and Ficus altissima, comparing to species with small, white green colored leaves like Ficus microcarpa Hawai, which showed the lowest value. The same trend was shown by, Normalized difference Vegetation index (NDVI) and rationally, the chlorophyll content. On the other hand results of Simple ratio (SR) index were not significantly differed among studied species. It is noticeable of that reflectance of (near-infrared (NIR) region) by leaves varied to its color, size, thickness and internal structure, so this electro-magnetic radiation (EMR) region can be used successfully for species classification. There were a highly correlation between chlorophyll content and NDVI and SR, while results showed no significant correlation between chlorophyll content and DN. | ||||
| Keywords | ||||
| Ficus; Remote Sensing; Vegetation Indices; NDVI; SR index; spectral curve; Chlorophyll | ||||
|
Statistics Article View: 338 PDF Download: 721 |
||||
