利用印度尼西亚Landsat 8图像估算总悬浮固体浓度的替代模型

Devy Risky Panji Wijaya, Riyanto Haribowo, James E. Ball
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引用次数: 0

摘要

水质的定期监测一般采用直接测量法,这需要大量的努力和资源。这些问题可以通过几种选择最小化,其中之一是陆地卫星8 (L8)。该图像已被广泛用于测量几种水质参数,特别是总悬浮固体(TSS)浓度,甚至在印度尼西亚也是如此。本文将比较以前研究的几个模型和使用不同地点的数据生成的修改模型。这种比较是基于他们估计TSS浓度的能力。能力由相关系数(r)、决定相关系数(R2)和残差标准误差(RSE)参数决定,因为这三个参数是强相关的,通常应用,并提供独特的决定。最佳模型的r和R2值最高,RSE值最低。结果表明,本研究生成的TSS模型4与印度尼西亚普遍使用的TSS模型1具有可比性,并提供了良好的结果。因此,它可以作为估计印度尼西亚TSS浓度的替代模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Alternative Model to Estimate Total Suspended Solids Concentrations using Landsat 8 Imagery in Indonesia
A regular monitoring program of water quality is generally performed using a direct measurement method, which requires substantial efforts and resources. These issues can be minimised using several options, one of which is Landsat 8 (L8). This imagery has been broadly used to measure several water quality parameters, especially Total Suspended Solids (TSS) concentrations, even in Indonesia. This paper will compare several models from previous studies and a modified model generated using data from various sites. The comparison is based on their competencies to estimate TSS concentrations. The competencies are determined by the coefficient of correlation (r), correlation of determination (R2), and residual standard error (RSE) parameters as these three parameters are strongly correlated, generally applied, and provide distinctive determinations. The best model should have the highest r and R2 values, while the RSE value should be the lowest. The results imply that TSS model 4 generated in this study provides comparable results with TSS model 1, which has been generally used in Indonesia and provided favourable results. Thus, it can be an alternative model to estimate TSS concentrations in Indonesia.
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