Arid
DOI10.21608/ejss.2020.36730.1377
Spectroscopic Characterization of Plant Cover in El-Fayoum Governorate, Egypt
Khdery, Ghada; Gad, Abd-Alla; El-Zeiny, Ahmed
通讯作者Khdery, G (corresponding author), Natl Author Remote Sensing & Space Sci NARSS, Cairo, Egypt.
来源期刊EGYPTIAN JOURNAL OF SOIL SCIENCE
ISSN0302-6701
EISSN2357-0369
出版年2020
卷号60期号:4页码:397-408
英文摘要EL-FAYOUM region is the unique Egyptian western desert depression provided by surface Nile water. It's one of the global oldest agricultural provinces. Hyperspectral remote sensing plays an important role in assessing the biophysical characters of plant. The current investigation is one of the early attempts to study the hyperspectral characteristics of cultivated crops and wild plants in El-Fayoum Governorate. The work assists in understanding the status of the vegetation structure responding to water scarcity in the study area. Spectral reflectance of cultivated & wild plants was recorded ASD field spec spectroradiometer device and integrated with lab analyses using statistical analyses of SPSS and JMP Software. Optimal waveband and optimal wavelength were calculated by ANOVA and Tukey's analysis for discriminating of plants in the study area. Remotely sensed hyperspectral data were processed to produce spectral indices of plants to estimate the plant's vitality. Results indicated that Near Infrared (NIR) and Short Wave Infrared II (SWIR II) spectral regions were optimal to discriminate investigated taxa. In the Blue spectral zone no significant reflection was noticed. Spectral characteristics for the Mangifera indica (infected plant) indicated water stress. Spectral Reflectance analysis for Ablmoschus esculentus indicated plant suffered chlorophyll decrease. Plant Senescence Reflectance Index (PSRI) and Moisture Stress Index (MSI) for Mangifera indica (infected plant) and Abelmoschus esculentus (infected plant) were high and indicated that two plants suffer canopy stress. Also, results showed that Citrus sinensis has the highest value of NDVI (0.82) and CRII (7.99) between other plants. It could be concluded that the study of spectral signature is rather valuable in characterizing vegetation cover. Also, growth conditions and the environment can be predicted via spectral characterization curves.
英文关键词Spectroscopic Characterization Plant Cover El-Fayoum Governorate Remote Sensing
类型Article
语种英语
开放获取类型Bronze
收录类别ESCI
WOS记录号WOS:000612025000004
WOS关键词MANAGEMENT ; SYSTEM
WOS类目Soil Science
WOS研究方向Agriculture
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/352566
作者单位[Khdery, Ghada; Gad, Abd-Alla; El-Zeiny, Ahmed] Natl Author Remote Sensing & Space Sci NARSS, Cairo, Egypt
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GB/T 7714
Khdery, Ghada,Gad, Abd-Alla,El-Zeiny, Ahmed. Spectroscopic Characterization of Plant Cover in El-Fayoum Governorate, Egypt[J],2020,60(4):397-408.
APA Khdery, Ghada,Gad, Abd-Alla,&El-Zeiny, Ahmed.(2020).Spectroscopic Characterization of Plant Cover in El-Fayoum Governorate, Egypt.EGYPTIAN JOURNAL OF SOIL SCIENCE,60(4),397-408.
MLA Khdery, Ghada,et al."Spectroscopic Characterization of Plant Cover in El-Fayoum Governorate, Egypt".EGYPTIAN JOURNAL OF SOIL SCIENCE 60.4(2020):397-408.
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