| Spectral and morphological characteristics of Ficus species (Moraceae) in Al-Orman Garden using Hyperspectral Remote Sensing technology |
| Paper ID : 1155-ICRSSSA |
| Authors |
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Ghada Khdery *1, Mohammed Hewidy2 1الهیئة القومیة للاستشعار من البعد وعلوم الفضاء 2Horticulture Department, Faculty of Agriculture, Ain Shams University, P.O. Box 68, Hadayek Shubra, Cairo 11241, Egypt |
| Abstract |
| Hyperspectral technology is considered a suitable tool for studying plant diver-sity. This study aims to investigate the differences among using methods to discriminate and conservation Ficus species using hyperspectral remote sensing. This was achieved by analyzing the relationship between the spectral signatures of Ficus plants and variation of the morphological characteristics using hyperspectral sensor. Analytical Spectral Devices (ASD) field spectroradiometer was used to measure spectral reflectance for 10 species of Ficus belonging to Moraceae family. Hyperspectral reflectance characteristics and morphological features were characterized. One Way ANOVA and Linear Discriminate Analysis were carried out to identify the optimal wavebands and wavelengths to classify the different species with special pharmaceutical values. The vitality of the plant was estimated using numbers of vegetation indices derived from spectroscopic measurements. Results indicate that NIR and SWIRII spectral zones were the optimal to discriminate the different species. Also, it was found that Ficus asperrima which could be clearly isolated from the rest of the species with unique spectral characteristics. Ficus asperrima have many compounds use in treatment many diseases. At the same time, no specific wavelengths were investigated for rest of species. Also, results showed that broadband vegetation indices indicated the overall health of the plant. Normalized difference vegetation index (NDVI) was found to be highly correlated with morphological characters. |
| Keywords |
| Spectral characteristics, Morphological characteristics, Ficus species, Remote Sensing, Vegetation Indices |
| Status: Accepted (Oral Presentation) |
