| Title |
A Study on Model Improvement using Inherent Optical Properties for Remote Sensing of Cyanobacterial Bloom on Rivers in Korea |
| Authors |
하림 ( Rim Ha ) ; 남기범 ( Gibeom Nam ) ; 박상현 ( Sanghyun Park ) ; 신현주 ( Hyunjoo Shin ) ; 이혁 ( Hyuk Lee ) ; 강태구 ( Taegu Kang ) ; 이재관 ( Jaekwan Lee ) |
| DOI |
https://doi.org/10.15681/KSWE.2019.35.6.589 |
| Keywords |
Cyanobacteria; Hyperspectral; Inherent optical properties; Phycocyanin; Remote sensing |
| Abstract |
The purpose of this study was improve accuracy the IOPs inversion model(IOPs-IM) developed in 2016 for phycocyanin(PC) concentration estimation in the Nakdong River. Additionally, two optimum models were developed and evaluated with 2017 measurement field spectral data for the Geum River and the Yeongsan River. The used measurement data for IOPs-IM analyzation was randomly classified as training and verification materials at the ratio of 2:1 in all data sets. Using the training data set from 2015-2017, accuracy results of the IOPs-IM generally improved for the Nakdong River. The RMSE(Root Mean Square Error) decreased by 14 % compared to 2016. For the GeumRiver, the results of the IOPs-IM were suitable, except for some point results in 2016. Results of the IOPs-IM in the Yeongsan River followed the overall 1:1 line and MAE(Mean Absolute Error) was lower than other rivers. But the RMSE and MAE values were higher. As a result of applying the validation data to the IOPs-IM, the accuracy of the Nakdong River was reduced to RMSE 17.7 % and MRE 16.4 %, respectively compared with 2016. However, the MRE(Mean Relative Error) was estimated to be higher by 400 % in the Geum River, and the RMSE was more than 100 ㎎/㎥ of the Yeongsan River. Therefore, it is necessary to get the continuously data with various sections of each river for obtain objective and reliable results and the models should be improved. |