基于空间图像的水质参数估计

International Workshop on Advanced Information and Computation Technologies and Systems Pub Date : 2021-05-05 DOI:10.47350/AICTS.2020.17

A. Popova

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引用次数: 0

摘要

水质影响着许多人类活动。遥感是一种经济有效的水资源监测手段。本文研究了氯-a浓度测定算法的选择问题。利用不同的经验算法和C2RCC工具，对贝加尔湖Sentinel-2多光谱仪(MSI)数据进行了计算。我们选择了与原位Chl-a数据相关性高的3个波段组合。合成的Chl-a分布图显示了湖泊中Chl-a的空间动态。我们的研究旨在帮助环境科学家评估贝加尔湖的污染水平，并解释结果的生态学意义

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Estimation of water quality parameters from space images

Water quality affects many human activities. Remote sensing is efficient and economical instrument for water monitoring. The paper investigates the problem of choosing an algorithm for Chl-a concentration determination. In this study, we made calculations for Multispectral Instrument (MSI) on Sentinel-2 for Lake Baikal by different empirical algorithms and C2RCC tool. We choose 3 band combination that have high correlation with in situ data of Chl-a. Resultant distribution map display spatial dynamics of Chl-a in the lake. Our research is intended to help environmental scientist to assess pollution level of the Lake Baikal and interpret the ecological meaning of results

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International Workshop on Advanced Information and Computation Technologies and Systems

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