TOTAL SUSPENDED SOLID DISTRIBUTION ANALYSIS USING SPOT-6 DATA IN SEGARA ANAKAN, CILACAP

Q4 Social Sciences
Aisya Jaya Dhannahisvara, Hartono Harjo, P. Wicaksono, Ferman Setia Nugroho
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引用次数: 3

Abstract

Spatial distribution and concentration of Total Suspended Solid (TSS) is one of the coastal parameters which are required to be examined in order to understand the quality of the water. Rapid development of remote sensing technology has resulted in the emergence of various methods to estimate TSS concentration. SPOT-6 data has spatial, spectral, and temporal characteristics that can be used to estimate TSS concentration. The purposes of this research are (1) to determine the best method for estimating TSS concentration, (2) to map TSS distribution, and (3) to determine the correlation between TSS concentration and chlorophyll-a concentration using SPOT-6 data in Segara Anakan. The estimation of TSS concentration in this research was performed using empirical model built from SPOT-6 and TSS field data. Bands used in this research are single band data (blue, green, red, and near infrared) and transformed bands such as band ratio (12 combinations), Normalized Difference Suspended Solid Index (NDSSI), and Suspended Solid Concentration Index (SSC). The result shows that blue, green, red, and near infrared bands and SSC index significantly correlated to TSS. Afterwards, regression analysis was performed to determine the function that can be used to predict TSS concentration using SPOT-6 data. Regression function used are linear and non-linear (exponential, logarithmic, 2nd order polynomial, and power). The best model was chosen based on the accuracy assessment using Standard Error of Estimate (SE). The selected model was used to calculate total TSS concentration and was correlated with chlorophyll-a field data. The result of accuracy test shows that the model from blue band has an accuracy of 70.68 %, green band 70.68 %, red band 75.73 %, near infrared band 65.58 %, and SSC 73.67 %. The accuracy test shows that red band produced the best prediction model for mapping TSS concentration distribution. The total TSS concentration, which was calculated using red band empirical model, is estimated to be 6.13 t. According to the correlation test, TSS concentration in Segara Anakan has no significant correlation with chlorophyll-a concentration, with a coefficient correlation value of -0.265.
用6号点数据分析西昌州塞加拉阿纳坎地区总悬浮固体分布
总悬浮固体(TSS)的空间分布和浓度是了解水质所需检查的海岸参数之一。遥感技术的快速发展导致了各种估算TSS浓度的方法的出现。SPOT-6数据具有空间、光谱和时间特征,可用于估计TSS浓度。本研究的目的是(1)确定估算TSS浓度的最佳方法,(2)绘制TSS分布图,以及(3)使用Segara Anakan的SPOT-6数据确定TSS浓度与叶绿素a浓度之间的相关性。本研究采用SPOT-6和TSS现场数据建立的经验模型对TSS浓度进行了估算。本研究中使用的波段是单波段数据(蓝色、绿色、红色和近红外)和转换波段,如波段比(12种组合)、归一化差异悬浮固体指数(NDSSI)和悬浮固体浓度指数(SSC)。结果表明,蓝、绿、红、近红外波段和SSC指数与TSS显著相关。然后,进行回归分析,以确定可用于使用SPOT-6数据预测TSS浓度的函数。使用的回归函数有线性和非线性(指数、对数、二阶多项式和幂)。根据使用标准估计误差(SE)进行的精度评估,选择最佳模型。所选模型用于计算总TSS浓度,并与叶绿素a场数据相关。准确度测试结果表明,来自蓝色波段的模型准确度为70.68%,绿色波段为70.68%、红色波段为75.73%、近红外波段为65.58%,SSC为73.67%。精度测试表明,红带是绘制TSS浓度分布的最佳预测模型。使用红带经验模型计算的TSS总浓度估计为6.13 t。根据相关性检验,Segara Anakan的TSS浓度与叶绿素a浓度没有显著相关性,相关系数为-0.265。
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来源期刊
Geoplanning Journal of Geomatics and Planning
Geoplanning Journal of Geomatics and Planning Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
1.00
自引率
0.00%
发文量
5
审稿时长
4 weeks
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