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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
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This study aims to estimate chlorophyll-a concentration in rivers using multi-spectral RapidEye imagery and Spectral Mixture Analysis (SMA) and assess the applicability of SMA for multi-temporal imagery analysis. Comparison between images (acquired on Oct. and Nov., 2013) predicted and ground reference chlorophyll-a concentration showed significant performance statistically with determination coefficients of 0.49 and 0.51, respectively. Two band (Red-RE) model for the October and November 2013 RapidEye images showed low performance with coefficient of determinations ($R^2$) of 0.26 and 0.16, respectively. Also Three band (Red-RE-NIR) model showed different performance with $R^2$ of 0.016 and 0.304, respectively. SMA derived Chlorophyll-a concentrations showed relatively higher accuracy than band ratio models based values. SMA was the most appropriate method to calculate Chlorophyll-a concentration using images which were acquired on period of low Chlorophyll-a concentrations. The results of SMA for multi-temporal imagery showed low performance because of the spatio-temporal variation of each end members. This approach provides the potential of providing a cost effective method of monitoring river water quality and management using multi-spectral imagery. In addition, the calculated Chlorophyll-a concentrations using multi-spectral RapidEye imagery can be applied to water quality modeling, enhancing the predicting accuracy.
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참고문헌 (21)
참고문헌 신청
Boardman, J. W. / 1995 / Mapping Target Signatures Via Partial Unmixing of AVRIS Data: in Summaries / Fifth JPL Airborne Earth Science Workshop 1:23~26
Chen, J. / 2007 / Application of ENVISAT ASAR Data in Mapping Rice Crop Growth in Southern China / IEEE Geoscience Remote Sensing Letters 4(3):431~435
Cho, M. A. / 2012 / Mapping Tree Species Composition in South African Savannas using an Integrated Airborne Spectral and LiDAR System / Remote Sensing of Environment 125:214~226
최은영 / 2011 / 고해상도 위성영상을 이용한 낙동강 유역의 클로로필-a 농도 추정 / 대한원격탐사학회지 27(5):613~623
Gitelson, A. A. / 2008 / A Simple Semi-analytical Model for Remote Estimation of Chlorophyll-a in Turbid Water : Validation / Remote Sensing of Environment 112(9):3582~3593
Chen, J. / 2007 / Application of ENVISAT ASAR Data in Mapping Rice Crop Growth in Southern China / IEEE Geoscience Remote Sensing Letters 4(3):431~435
Cho, M. A. / 2012 / Mapping Tree Species Composition in South African Savannas using an Integrated Airborne Spectral and LiDAR System / Remote Sensing of Environment 125:214~226
최은영 / 2011 / 고해상도 위성영상을 이용한 낙동강 유역의 클로로필-a 농도 추정 / 대한원격탐사학회지 27(5):613~623
Gitelson, A. A. / 2008 / A Simple Semi-analytical Model for Remote Estimation of Chlorophyll-a in Turbid Water : Validation / Remote Sensing of Environment 112(9):3582~3593
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