Abstract
AbstractNowadays, the importance of using macrophytes in accumulation of heavy metals has gained great concerns. So, this study aimed at extracting the land use/cover types of three indices and surface temperatures in the habitats inside 100 m buffers from recent satellite images around three highly economic macrophytes namely; Phragmites australis, Typha domingensis and Potamogeton pectinatus species. In addition to land surface temperature (LST), three important indices expressing the land cover of habitats namely; normalized different vegetation index (NDVI), normalized different water index (NDWI), and normalized different moisture index (NDMI) were extracted to find out there influence on the efficiency of macrophytes in the accumulation of these metal ions; Fe, Cu, Zn, Cd and Pb. The Polynomial regression models were calculated to predict the accumulation factors of plants within the remotely sensed indices and LST. Results showed different accumulation values for individual or more metals in the below-ground and above-ground parts of macrophytes within different habitats. This study considers as an innovative approach using remote sensing technique and satellite images for the selecting of species that can accumulate more metals within different habitats. The obtained results will be useful for the optimal management of these macrophytes in Lake Burullus, a Ramsar site.
Funder
National Institute of Oceanography & Fisheries
Publisher
Springer Science and Business Media LLC
Subject
Nature and Landscape Conservation,Ecology,Oceanography
Reference101 articles.
1. Abd El-Hamid HT, Rabie R, Zarzoura F, Hafiz MA, El-Alfy MA (2022) Integrated approach of remote sensing and machine learning to simulate and predict petroleum pollution and algal blooms along Aqaba Gulf. Biocatal Agric Biotechnol 46:102528
2. Abd el-sadek E, Elbeih S, Negm A (2022) Coastal and land use changes of Burullus Lake, Egypt: a comparison using landsat and Sentinel-2 satellite images. Egypt J Remote Sens Space Sci 25(3):815–829
3. Abdel-Ghani NT, Hegazy AK, El-Cheghaby GA, Lima EC (2009) Factorial experimental design for bio-sorption of iron and zinc using Typha domingensis phytomass. Desalination 249(1):343–347
4. Avdan U, Jovanovska G (2016) Algorithm for automated mapping of land surface temperature using LANDSAT 8 satellite data. J Sensors 2016:1480307
5. Al-Yemni MN, Sher H, El-Sheikh MA, Eid EM (2011) Bioaccumulation of nutrient and heavy metals by Calotropis procera and Citrullus colocynthis and their potential use as contamination indicators. Sci Res Essays 6(4):966–976
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