利用高光谱指数调查埃及Abu Zabaal地区受污染的植物和土壤

IF 4.7 Q1 ECOLOGY

生态学报 Pub Date : 2023-10-01 DOI:10.1016/j.chnaes.2022.10.006

Ghada A. Khdery , N.M. Helal , H.A. Saleh

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引用次数: 1

摘要

本工作是首次尝试监测阿布扎巴尔地区受污染植物的光谱特征。通过ASD光谱辐射计测量了研究区域内植物的光谱特征，以评估植物物种的状况。计算了植物和土壤的各种高光谱指数，以评估代表土壤和研究植物物种的样品。分析表明，与对照植物相比，所有受污染植物的叶绿素a和b含量都有所下降。在污染条件下，叶绿素荧光发生变化。实验结果与高光谱指数，特别是红边植被指数（RE、MRENDVI和RE-NDVI）相匹配。基于线性回归分析，使用从高光谱数据中检索的SAVI生成了一个用于评估HCO3%的创新模型，给出了有希望的准确率（90%）。

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Using hyperspectral indices for investigation polluted plants and soil in Abu Zabaal area, Egypt

The present work is the first attempt to monitor the spectroscopic characteristics of polluted plants in Abu Zabaal area. Spectral signatures for plants in the study area have been measured by ASD spectroradiometer to assess the status of plants species. Various hyperspectral indices of Plant and soil were calculated to evaluate the samples representing the soil and studied plant species. The analysis showed that chlorophyll a and b content decreased in all plant species under pollution in comparison with control ones. There is a change in chlorophyll fluorescence under pollution conditions. The experimental results were matching with the hyperspectral indices, especially the red edge vegetation indices (RE, MRENDVI, and RE-NDVI). Based on linear regression analyses, an innovative model for assessing HCO₃% was generated using SAVI retrieved from hyperspectral data, giving a promising accuracy (90%).

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来源期刊

生态学报 Environmental Science-Ecology

CiteScore

5.30

自引率

0.00%

发文量

17028

审稿时长

68 days

期刊介绍： Our Journal publishes recent theories and novel experimental results in ecology, and facilitates academic exchange and discussions both domestically and abroad. It is expected that our journal will promote the development of and foster research talents for ecological studies in China.