Retrieval of Chlorophyll-a and Total Suspended Solids Using Iterative Stepwise Elimination Partial Least Squares (ISE-PLS) Regression Based on Field Hyperspectral Measurements in Irrigation Ponds in Higashihiroshima, Japan
Concentrations of chlorophyll-a (Chl-a) and total suspended solids (TSS) are significant parameters used to assess water quality. The objective of this study is to establish a quantitative model for estimating the Chl-a and the TSS concentrations in irrigation ponds in Higashihiroshima, Japan, using...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2017-03-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2072-4292/9/3/264 |
| _version_ | 1818907473088610304 |
|---|---|
| author | Zuomin Wang Kensuke Kawamura Yuji Sakuno Xinyan Fan Zhe Gong Jihyun Lim |
| author_facet | Zuomin Wang Kensuke Kawamura Yuji Sakuno Xinyan Fan Zhe Gong Jihyun Lim |
| author_sort | Zuomin Wang |
| collection | DOAJ |
| description | Concentrations of chlorophyll-a (Chl-a) and total suspended solids (TSS) are significant parameters used to assess water quality. The objective of this study is to establish a quantitative model for estimating the Chl-a and the TSS concentrations in irrigation ponds in Higashihiroshima, Japan, using field hyperspectral measurements and statistical analysis. Field experiments were conducted in six ponds and spectral readings for Chl-a and TSS were obtained from six field observations in 2014. For statistical approaches, we used two spectral indices, the ratio spectral index (RSI) and the normalized difference spectral index (NDSI), and a partial least squares (PLS) regression. The predictive abilities were compared using the coefficient of determination (R2), the root mean squared error of cross validation (RMSECV) and the residual predictive deviation (RPD). Overall, iterative stepwise elimination based on PLS (ISE–PLS), using the first derivative reflectance (FDR), showed the best predictive accuracy, for both Chl-a (R2 = 0.98, RMSECV = 6.15, RPD = 7.44) and TSS (R2 = 0.97, RMSECV = 1.91, RPD = 6.64). The important wavebands for estimating Chl-a (16.97% of all wavebands) and TSS (8.38% of all wavebands) were selected by ISE–PLS from all 501 wavebands over the 400–900 nm range. These findings suggest that ISE–PLS based on field hyperspectral measurements can be used to estimate water Chl-a and TSS concentrations in irrigation ponds. |
| first_indexed | 2024-12-19T21:55:40Z |
| format | Article |
| id | doaj.art-6d23b26125ad4a7d8ca2e4aedbc39d82 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-12-19T21:55:40Z |
| publishDate | 2017-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-6d23b26125ad4a7d8ca2e4aedbc39d822022-12-21T20:04:17ZengMDPI AGRemote Sensing2072-42922017-03-019326410.3390/rs9030264rs9030264Retrieval of Chlorophyll-a and Total Suspended Solids Using Iterative Stepwise Elimination Partial Least Squares (ISE-PLS) Regression Based on Field Hyperspectral Measurements in Irrigation Ponds in Higashihiroshima, JapanZuomin Wang0Kensuke Kawamura1Yuji Sakuno2Xinyan Fan3Zhe Gong4Jihyun Lim5Graduate School of Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashihiroshima, Hiroshima 739-8527, JapanSocial Sciences Division, Japan International Research Center for Agricultural Sciences (JIRCAS), 1-1 Ohwashi, Tsukuba, Ibaraki 305-8686, JapanGraduate School of Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashihiroshima, Hiroshima 739-8527, JapanGraduate School for International Development and Cooperation (IDEC), Hiroshima University, 1-5-1 Kagamiyama, Higashihiroshima, Hiroshima 739-8529, JapanGraduate School for International Development and Cooperation (IDEC), Hiroshima University, 1-5-1 Kagamiyama, Higashihiroshima, Hiroshima 739-8529, JapanGraduate School for International Development and Cooperation (IDEC), Hiroshima University, 1-5-1 Kagamiyama, Higashihiroshima, Hiroshima 739-8529, JapanConcentrations of chlorophyll-a (Chl-a) and total suspended solids (TSS) are significant parameters used to assess water quality. The objective of this study is to establish a quantitative model for estimating the Chl-a and the TSS concentrations in irrigation ponds in Higashihiroshima, Japan, using field hyperspectral measurements and statistical analysis. Field experiments were conducted in six ponds and spectral readings for Chl-a and TSS were obtained from six field observations in 2014. For statistical approaches, we used two spectral indices, the ratio spectral index (RSI) and the normalized difference spectral index (NDSI), and a partial least squares (PLS) regression. The predictive abilities were compared using the coefficient of determination (R2), the root mean squared error of cross validation (RMSECV) and the residual predictive deviation (RPD). Overall, iterative stepwise elimination based on PLS (ISE–PLS), using the first derivative reflectance (FDR), showed the best predictive accuracy, for both Chl-a (R2 = 0.98, RMSECV = 6.15, RPD = 7.44) and TSS (R2 = 0.97, RMSECV = 1.91, RPD = 6.64). The important wavebands for estimating Chl-a (16.97% of all wavebands) and TSS (8.38% of all wavebands) were selected by ISE–PLS from all 501 wavebands over the 400–900 nm range. These findings suggest that ISE–PLS based on field hyperspectral measurements can be used to estimate water Chl-a and TSS concentrations in irrigation ponds.http://www.mdpi.com/2072-4292/9/3/264chlorophyll-ahyperspectralirrigation pondspartial least squares regressiontotal suspended solids |
| spellingShingle | Zuomin Wang Kensuke Kawamura Yuji Sakuno Xinyan Fan Zhe Gong Jihyun Lim Retrieval of Chlorophyll-a and Total Suspended Solids Using Iterative Stepwise Elimination Partial Least Squares (ISE-PLS) Regression Based on Field Hyperspectral Measurements in Irrigation Ponds in Higashihiroshima, Japan Remote Sensing chlorophyll-a hyperspectral irrigation ponds partial least squares regression total suspended solids |
| title | Retrieval of Chlorophyll-a and Total Suspended Solids Using Iterative Stepwise Elimination Partial Least Squares (ISE-PLS) Regression Based on Field Hyperspectral Measurements in Irrigation Ponds in Higashihiroshima, Japan |
| title_full | Retrieval of Chlorophyll-a and Total Suspended Solids Using Iterative Stepwise Elimination Partial Least Squares (ISE-PLS) Regression Based on Field Hyperspectral Measurements in Irrigation Ponds in Higashihiroshima, Japan |
| title_fullStr | Retrieval of Chlorophyll-a and Total Suspended Solids Using Iterative Stepwise Elimination Partial Least Squares (ISE-PLS) Regression Based on Field Hyperspectral Measurements in Irrigation Ponds in Higashihiroshima, Japan |
| title_full_unstemmed | Retrieval of Chlorophyll-a and Total Suspended Solids Using Iterative Stepwise Elimination Partial Least Squares (ISE-PLS) Regression Based on Field Hyperspectral Measurements in Irrigation Ponds in Higashihiroshima, Japan |
| title_short | Retrieval of Chlorophyll-a and Total Suspended Solids Using Iterative Stepwise Elimination Partial Least Squares (ISE-PLS) Regression Based on Field Hyperspectral Measurements in Irrigation Ponds in Higashihiroshima, Japan |
| title_sort | retrieval of chlorophyll a and total suspended solids using iterative stepwise elimination partial least squares ise pls regression based on field hyperspectral measurements in irrigation ponds in higashihiroshima japan |
| topic | chlorophyll-a hyperspectral irrigation ponds partial least squares regression total suspended solids |
| url | http://www.mdpi.com/2072-4292/9/3/264 |
| work_keys_str_mv | AT zuominwang retrievalofchlorophyllaandtotalsuspendedsolidsusingiterativestepwiseeliminationpartialleastsquaresiseplsregressionbasedonfieldhyperspectralmeasurementsinirrigationpondsinhigashihiroshimajapan AT kensukekawamura retrievalofchlorophyllaandtotalsuspendedsolidsusingiterativestepwiseeliminationpartialleastsquaresiseplsregressionbasedonfieldhyperspectralmeasurementsinirrigationpondsinhigashihiroshimajapan AT yujisakuno retrievalofchlorophyllaandtotalsuspendedsolidsusingiterativestepwiseeliminationpartialleastsquaresiseplsregressionbasedonfieldhyperspectralmeasurementsinirrigationpondsinhigashihiroshimajapan AT xinyanfan retrievalofchlorophyllaandtotalsuspendedsolidsusingiterativestepwiseeliminationpartialleastsquaresiseplsregressionbasedonfieldhyperspectralmeasurementsinirrigationpondsinhigashihiroshimajapan AT zhegong retrievalofchlorophyllaandtotalsuspendedsolidsusingiterativestepwiseeliminationpartialleastsquaresiseplsregressionbasedonfieldhyperspectralmeasurementsinirrigationpondsinhigashihiroshimajapan AT jihyunlim retrievalofchlorophyllaandtotalsuspendedsolidsusingiterativestepwiseeliminationpartialleastsquaresiseplsregressionbasedonfieldhyperspectralmeasurementsinirrigationpondsinhigashihiroshimajapan |