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首页> 外文期刊>ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences >ESTIMATING AND MAPPING CHLOROPHYLL-A CONCENTRATION OF PHEWA LAKE OF KASKI DISTRICT USING LANDSAT IMAGERY
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ESTIMATING AND MAPPING CHLOROPHYLL-A CONCENTRATION OF PHEWA LAKE OF KASKI DISTRICT USING LANDSAT IMAGERY

机译:利用土地图像估算和绘制叶绿素 - 凯西地区Phewa湖浓度

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Water is a major component in the living ecosystem. As water quality is degrading due to human intervention, continuous monitoring is necessary. One of the indicators is Chlorophyll-a (Chl-a) which indicates algal blooms which are often driven by eutrophication phenomena in freshwater. Lakes should be monitored for Chl-a because Chla-a is related to eutrophication phenomena which are an enrichment of water by nutrients salt. When the environment becomes enriched with nutrients the excessive growth can lead to the death of fish. In this study, the Remote Sensing (RS) and Geographic Information System (GIS) techniques were utilized to determine Chl-a concentration of Phewa Lake of Kaski district. We used Landsat 8 satellite imagery for estimation and mapping of the Chl-a concentration. In-situ measurements from different sample points were taken and used to form a regression model for Chl-a and its concentration over the water body was calculated. The preceding year’s (2016) in situ measurement data of Chl-a concentration at a specific location were assessed with the one evaluated from the regression model thus produced for the succeeding year (2017) using Root Mean Square Error (RMSE) technique. As a result, we concluded that the estimation and mapping of Chl-a of a lake in Nepal can be done with the help of RS and GIS techniques.
机译:水是生态系统中的主要组成部分。由于水质因人为干预而降低,因此需要连续监测。其中一项指标是叶绿素-A(CHL-A),其表示藻类盛花通常是淡水中的富营养化现象的藻类。应该监测湖泊的CHL-A,因为CHLA-A与富营养化现象有关,营养盐是富含水的富集。当环境变得富含营养素时,过度增长会导致鱼的死亡。在该研究中,利用遥感(RS)和地理信息系统(GIS)技术来确定凯西地区Phewa湖的CHL-A浓度。我们使用了Landsat 8卫星图像,用于估计和映射CHL-A浓度。采集来自不同样品点的原位测量并用于形成CHL-A的回归模型,并计算其在水体上的浓度。使用从由此产生的回归模型(2017)的回归模型(2017)使用root均方误差(RMSE)技术,评估了前一年的(2016)的CHL-A浓度的测量数据。结果,我们得出结论,尼泊尔湖中CHL-A的估计和映射可以在RS和GIS技术的帮助下进行。

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