Estimating chlorophyll-a concentration based on a four-band model using field spectral measurements and HJ-1A hyperspectral data of Qiandao Lake, China
文献类型：期刊论文
| 作者 | Feng, Quanlong1; Gong, Jianhua1; Wang, Ying1; Liu, Jiantao1; Li, Yi1; Ibrahim, A. N.1; Liu, Qigen1; Hu, Zhongjun1 |
| 刊名 | REMOTE SENSING LETTERS
 |
| 出版日期 | 2015 |
| 卷号 | 6期号:10页码:83-94 |
| 通讯作者 | Gong, JH (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing, Peoples R China. |
| 英文摘要 | Accurate estimation of phytoplankton chlorophyll-a (chl-a) concentration from remote sensing data is challenging due to the complex optical properties of case II waters. Recently, a novel semi-analytical four-band model was developed to estimate chl-a concentration in turbid productive waters. The objective of this study was to evaluate the performance of the four-band model and extend its application to hyperspectral satellite data for estimating chl-a concentration in Qiandao Lake of China. Based on field spectral measurements and in situ water sampling, the four-band model expressed as [R-rs(-1)(661.6) - R-rs(-1)(706.7)] [R-rs(-1)(714.8) - R-rs(-1)(682.2)](-1) was calibrated after band tuning, where R-rs(-1) represents the reciprocal of the remote sensing reflectance. The spectral-based four-band model accounted for more than 88% of variance in chl-a concentration with a root mean square error (RMSE) of 1.47g l(-1). To justify the potential of this model with satellite data, comparable wavelengths selected from HJ-1A Hyperspectral Imager (HSI) imagery were utilized to calibrate the four-band model. The HSI-based model explained about 80% of chl-a variation with an RMSE of 1.35g l(-1). Experimental results also showed that the four-band model outperformed its three-band counterpart. The results validated the rationale of the four-band model and demonstrated the effectiveness of this model for estimating chl-a concentration from both in situ spectral data and HJ-1A hyperspectral satellite imagery. |
| 研究领域[WOS] | Remote Sensing ; Imaging Science & Photographic Technology |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000360518900001 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38084]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1.[Feng, Quanlong 2.Gong, Jianhua 3.Liu, Jiantao 4.Li, Yi 5.Ibrahim, A. N.] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing, Peoples R China 6.[Gong, Jianhua 7.Ibrahim, A. N.] Zhejiang CAS Applicat Ctr Geoinformat, Jiaxing, Peoples R China 8.[Wang, Ying 9.Liu, Qigen 10.Hu, Zhongjun] Shanghai Ocean Univ, Coll Fisheries & Life Sci, Shanghai, Peoples R China |
| 推荐引用方式 GB/T 7714 | Feng, Quanlong,Gong, Jianhua,Wang, Ying,et al. Estimating chlorophyll-a concentration based on a four-band model using field spectral measurements and HJ-1A hyperspectral data of Qiandao Lake, China[J]. REMOTE SENSING LETTERS,2015,6(10):83-94. |
| APA | Feng, Quanlong.,Gong, Jianhua.,Wang, Ying.,Liu, Jiantao.,Li, Yi.,...&Hu, Zhongjun.(2015).Estimating chlorophyll-a concentration based on a four-band model using field spectral measurements and HJ-1A hyperspectral data of Qiandao Lake, China.REMOTE SENSING LETTERS,6(10),83-94. |
| MLA | Feng, Quanlong,et al."Estimating chlorophyll-a concentration based on a four-band model using field spectral measurements and HJ-1A hyperspectral data of Qiandao Lake, China".REMOTE SENSING LETTERS 6.10(2015):83-94. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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