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首页> 外文期刊>International Journal of Environmental Impacts: Management, Mitigation and Recovery >Satellite derived estimation of Chlorophyll-a on Harmful Algal Blooms (HABs) in selected dams of Vhembe District, Limpopo Province
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Satellite derived estimation of Chlorophyll-a on Harmful Algal Blooms (HABs) in selected dams of Vhembe District, Limpopo Province

机译：林波波省Vhembe区选定水坝中叶绿素a对有害藻华（HAB）的卫星估计

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摘要

Satellite remote sensing techniques have been proved to be capable of quantifying chlorophyll-a (Chl-a) levels by estimating algal concentrations in water bodies. Harmful algal blooms (HABs) pose a significant threat to many water bodies in South Africa. This study aimed at using a remote sensing solution to estimate chlorophyll concentrations in water bodies of Vhembe District Municipality using Landsat 8 OLI. This study seeks to provide quantitative water quality information for the Vhembe region's water bodies from a time series of satellite remotely sensed data and in-situ laboratory data. The 30 meters spatial resolution multispectral Landsat 8 OLI for 2016, 2017 and 2018 were used to derive Chl-a estimate at three water bodies, namely, Nandoni, Albasini and Vondo reserviors. The Chl-a concentrations obtained from Landsat 8 (OLI) satellite were compared with the laboratory analysis using the Kappa coefficient statistical analysis. This study show that Landsat derived chl-a estimates have a high positive correlation of 80-90% accurate with field measurements. In all the reservoirs, it was detected that there is low content of HABs and thus the water bodies are in good condition since the chl-a concentrations were very low. In conclusion, it can be stated that Landsat 8 OLI sensor can be used to map and monitor inland water bodies dominated by algal blooms to a certain extent.
机译：卫星遥感技术被证明是能够量化的叶绿素a(Chl-a)水平评估藻浓度在水体。许多水体的严重威胁南非。传感解决方案估算叶绿素浓度的水体Vhembe区市使用地球资源观测卫星8奥利。旨在提供定量的水质量信息Vhembe地区的水体从卫星遥感的时间序列数据和现场实验数据。空间分辨率多光谱地球资源观测卫星8奥利2016年、2017年和2018年被用来推导Chl-a估计三个水体,即Nandoni、Albasini Vondo储层。浓度从陆地卫星获得8(奥利)卫星相对于实验室使用Kappa系数的统计分析分析。chl-a估计具有较高的正相关与实地测量的80 - 90%准确。所有的水库,是发现有含量低的赤潮,因此水体自chl-a浓度状况良好是非常低的。地球资源观测卫星8奥利传感器可用于地图和监测内陆水体以藻类为主花朵在某种程度上。

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