Use of LANDSAT 8 images for depth and water quality assessment of El Guajaro reservoir, Colombia
Use of LANDSAT 8 images for depth and water quality assessment of El Guajaro reservoir, Colombia
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DOI：
10.1016/j.jsames.2018.01.004
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发表时间：
2018-03-01
影响因子：
1.8
通讯作者：
Rodriguez-Gallegos, Hugo B.
中科院分区：
文献类型：
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作者：
Carlos Gonzalez-Marquez, Luis;Torres-Bejarano, Franklin M.;Rodriguez-Gallegos, Hugo B.
本研究的目的是评估的可行性，使用Landsat 8光谱图像，以估计水质参数和深度在El Guajaro水库。2015年2月和3月，在水库进行了两次采样，与Landsat 8图像一致。浊度，溶解氧，电导率，pH值和深度进行了评价。通过对实测水质参数与各采样站对应像元反射率的多元回归分析，建立了决定系数在0.6249 ~ 0.9300之间的统计模型。结果表明，从少量的测量参数，我们可以生成可靠的模型来估计浊度，溶解氧，pH值和深度的空间变化，以及电导率的时间变化，因此从陆地卫星8生成的模型可以用作工具，以促进水库的环境，经济和社会管理。(C)2018爱思唯尔有限公司版权所有
The aim of this study was to evaluate the viability of using Landsat 8 spectral images to estimate water quality parameters and depth in El Guajaro Reservoir. On February and March 2015, two samplings were carried out in the reservoir, coinciding with the Landsat 8 images. Turbidity, dissolved oxygen, electrical conductivity, pH and depth were evaluated. Through multiple regression analysis between measured water quality parameters and the reflectance of the pixels corresponding to the sampling stations, statistical models with determination coefficients between 0.6249 and 0.9300 were generated. Results indicate that from a small number of measured parameters we can generate reliable models to estimate the spatial variation of turbidity, dissolved oxygen, pH and depth, as well the temporal variation of electrical conductivity, so models generated from Landsat 8 can be used as a tool to facilitate the environmental, economic and social management of the reservoir. (C) 2018 Elsevier Ltd. All rights reserved.