期刊
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
卷 88, 期 -, 页码 41-47出版社
ELSEVIER
DOI: 10.1016/j.isprsjprs.2013.11.016
关键词
Hyperspectral; HJ-1A satellite; Three-band model; Chla; Dianshan lake
类别
资金
- National Natural Science Foundation of China [41001234]
- Specialized Research Fund for the Doctoral Program of Higher Education of China [2010007120013]
- Open Fund of State Key Laboratory of Remote Sensing Science [OFSLRSS201009]
- Open Fund of State Key Laboratory of Ocean Circulation and Waves, Chinese Academy of Sciences [KLOCAW1107]
- Fundamental Research Funds for the Central Universities
Based on in situ water sampling and field spectral measurements in Dianshan Lake, a semi-analytical three-band algorithm was used to estimate Chlorophylla (Chla) content in case II waters. The three bands selected to estimate Chla for high concentrations included 653, 691 and 748 nm. An equation, based on the difference in reciprocal reflectance between 653 and 691 nm, multiplied by reflectance at 748 nm as [R-rs(-1)(653) - R-rs(-1) (691)] R-rs (748), explained 85.57% of variance in Chla concentration with a root mean square error (RMSE) of <6.56 mg/m(3). In order to test the utility of this model with satellite data, HJ-1A Hyperspectral Imager (HSI) data were analyzed using comparable wavelengths selected from the in situ data [B-67(-1)(656) - B-80(-1)(716)] B-87(753). This model accounted for 84.3% of Chla variation, estimating Chla concentrations with an RMSE of <4.23 mg/m(3). The results illustrate that, based on the determined wavelengths, the spectrum-based model can achieve a high estimation accuracy and can be applied to hyperspectral satellite imagery especially for higher Chla concentration waters. (C)2013 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS) Published by Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据