All Issue

2022 Vol.32, Issue 1 Preview Page

Research Article

Correlation Analysis of Reflectance and Turbidity through Spectral Characteristics of Near-Infrared

근적외선의 분광특성 분석을 통한 반사율과 탁도의 상관관계 분석

So-Jin Lee1
,
Gyo-Cheol Jeong2
,
Chang-Ju Lee3
,
Jong-Tae Kim4*
이 소진1
,
정 교철2
,
이 창주3
,
김 종태4*
1Researcher, Corporate Research Institute, Nature and Tech Inc.
2Professor, Department of Earth and Environmental Sciences, Andong National University
3Ph.D. Candidate, Department of Earth and Environmental Sciences, Andong National University
4CEO, Corporate Research Institute, Nature and Tech Inc.
1주식회사 자연과기술 연구원
2안동대학교 지구환경과학과 교수
3안동대학교 지구환경과학과 박사과정
4주식회사 자연과기술 대표이사
*Corresponding Author
31 March 2022. pp. 101-111
PDF XML Citation
Abstract

This study analyzed the relationship between water turbidity and its reflectance, as measured using hyperspectral imaging. First, samples of turbid water were generated in boxes. This was followed by drone-based hyperspectral imaging and analysis of the correlation between the samples’ measured turbidity and hyperspectral reflectance. The nine boxes for turbidity measurement were made of black acrylic that absorbed all light turbidity was induced using soil collected near Changhacheon, which causes turbidity in Imha Lake. The results indicate that the reflectance of wavelengths in the near-infrared region followed a pattern of increase with increasing soil content for each box. Analysis of this correlation between the turbidity and average reflectance measured in each box yielded a very high R2 value of 0.8702, indicating that reflectance is a suitable proxy for turbidity.

Keywords
tubid water
hyperspectral image
reflectance
tubidity
near-infrared

본 연구는 초분광 영상의 반사율과 탁도 관계를 해석하는 것이 목표로써 실험수조에 탁수를 발생시킨 후 드론 기반의 초분광 영상촬영을 수행하였으며 측정된 탁도와 반사율의 상관관계를 분석하였다. 실험에 사용된 9개 수조는 모든 빛을 흡수할 수 있는 흑색 아크릴로 제작하였으며 토양은 임하호 탁수 발생의 원인이 되는 창하천 하류에서 채취하였다. 연구결과, 근적외선 영역에서 파장에 따른 반사율은 전반적으로 유사한 패턴으로 나타났으며, 탁도가 높은 Box일수록 반사율이 증가하였다. 또한 각 Box에서 측정한 탁도와 평균반사율의 상관관계를 분석한 결과 결정계수는 0.8702로 매우 높게 나타나 반사율을 이용한 탁도 예측이 가능한 것으로 나타났다.

키워드
탁수
초분광 영상
반사율
탁도
근적외선
References
1
Beck, R., Xu, M., Zhan, S., Johansen, R., Liu, H., Tong, S., Yang, B., Shu, S., Wu, Q., Wang, S., Berling, K., Murray, A., Emery, E., Reif, M., Harwood, J., Young, J., Nietch, C., Macke, D., Martin, M., Stillings, G., Stumpf, R., Su, H., Ye, Z., Huang, Y., 2019, Comparison of satellite reflectance algorithms for estimating turbidity and cyanobacterial concentrations in productive freshwaters using hyperspectral aircraft imagery and dense coincident surface observations, Journal of Great Lakes Research, 45(3), 413-433. 10.1016/j.jglr.2018.09.00132831462PMC7433802
2
Chung, S.W., Lee, H.S., Yoon, S.W., Ye, L., Lee, J.H., Choo, C.O., 2007, Characterization of physical properties of turbid flow in the Daecheong reservoir watershed during floods, Journal of Korean Society on Water Quality, 23(6), 934-944 (in Korean with English abstract).
3
Fraser, R.N., 1998, Hyperspectral remote sensing of turbidity and chlorophyll a among Nebraska sand hills lakes, International Journal of Remote Sensing, 19(8), 1579-1589. 10.1080/014311698215360
4
Goetz, A.F.H., 1991, Imaging spectrometry for studying earth, air, fire and water, EARSeL Advances in Remote Sensing, 1, 3-15.
5
Hwang, S.K., Jeong, G.Y., 2006, Geology in drainage field of the Imha dam and origins of high turbid water in the Imha lake, Andong, The Korean Society of Economic and Environmental Geology, 39(6), 771-786 (in Korean with English abstract).
6
Keller, S., Maier, P.M., Riese, F.M., Norra, S., Holbach, A., Borsig, N., Wilhelms, A., Moldaenke, C., Zaake, A., Hinz, S., 2018, Hyperspectral data and machine learning for estimating CDOM, chlorophyll a, diatoms, green algae and turbidity, International Journal of Environmental Research and Public Health, 15(9), 1881. 10.3390/ijerph1509188130200256PMC6164519
7
Kim, B.C., Jung, S.M., 2007, Turbid storm runoffs in lake Soyang and their environmental effect, Journal of Korean Society of Environmental Engineers, 29(11), 1185-1190 (in Korean with English abstract).
8
Kim, J.K., Choi, J.S., Jang, Y.S., Lee, K.Y., Kim, B.C., 2007, Case studies of the Daegi stream and the Bong-san stream: Effects of turbid water on fish community, The Korean Society of Limnology, 40(3), 459-467 (in Korean with English abstract).
9
Kim, J.T., Lee, C.H., Kang, J.G., 2020, A study on the spectral information and reflectance characteristic of levee crack, Journal of the Korea Academia-Industrial Cooperation Society, 21(9), 17-24 (in Korean with English abstract).
10
Pan, Z., Glennie, C., Legleiter, C., Overstreet, B., 2015, Estimation of water depths and turbidity from hyperspectral imagery using support vector regression, IEEE Geoscience and Remote Sensing Letters, 12(10), 2165-2169. 10.1109/LGRS.2015.2453636
11
Park, H.S., Chung, S.W., Choung, S.A., 2017, Analyzing the effect of an extreme turbidity flow event on the dam reservoirs in North Han River basin, Journal of Korean Society on Water Environment, 33(3), 282-290 (in Korean with English abstract).
12
Rasti, B., Scheunders, P., Ghamisi, P., Licciardi, G., Chanussot, J., 2018, Noise reduction in hyperspectral imagery: Overview and application, Remote Sensing, 3, 482. 10.3390/rs10030482
13
Shaw, G.A., Burke, H.K., 2003, Spectral imaging for remote sensing, Lincoln Laboratory Journal, 14, 3-28.
14
Shin, H.S., Lee, K.H., Park, J.H., 2009, Analysis of spectral reflectance characteristics for sand and silt turbid water, Journal of the Korean Society of Agricultural Engineers, 51(3), 37-43 (in Korean with English abstract). 10.5389/KSAE.2009.51.3.037
15
van der Meer, F., 2003, Bayesian inversion of imaging spectrometer data using a fuzzy geological outcrop model, International Journal of Remote Sensing, 24(22), 4301-4310. 10.1080/0143116021000047929
16
Wu, J.L., Ho, C.R., Hyang, C.C., Srivastav, A.L., Tzeng, J.H., Lin, Y.T., 2014, Hyperspectral sensing for turbid water quality monitoring in freshwater rivers empirical relationship between reflectance and turbidity and total solids, Sensor, 14(12), 22670-22688. 10.3390/s14122267025460816PMC4299033
17
Yu, S.H., Kim, J.S., Shin, M.J., Lee, J.E., Seo, E.W., 2009, Effect of turbid water on fishes in the streams of Imha reservoir, Journal of Life Science, 19(10), 1410-1416 (in Korean with English abstract). 10.5352/JLS.2009.19.10.1410
Information
  • Publisher :Korean Society of Engineering Geology
  • Publisher(Ko) :대한지질공학회
  • Journal Title :The Journal of Engineering Geology
  • Journal Title(Ko) :지질공학
  • Volume : 32
  • No :1
  • Pages :101-111
  • Received Date : 2022-01-10
  • Revised Date : 2022-02-03
  • Accepted Date : 2022-02-11
  • DOI :https://doi.org/10.9720/kseg.2022.1.101
Journal Informaiton The Journal of Engineering Geology The Journal of Engineering Geology
Online Submission
  • NRF
  • KOFST
  • KISTI Current Status
  • KISTI Cited-by
  • crosscheck
  • orcid
  • open access
  • ccl
Journal Informaiton Journal Informaiton - close