太阳成8722(中国)有限公司-GREEN NO.1

标题：An approach for developing Landsat-5 TM-based retrieval models of suspended particulate matter concentration with the assistance of MODIS作者：Wu, Guofeng;Cui, Lijuan; Duan, Hongtao; Fei, Teng; Liu, Yaolin

来源出版物：ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 卷：85页：84-92 DOI：10.1016/j.isprsjprs.2013.08.009 出版年：NOV 2013

摘要：It is challenging to develop Landsat-5 TM (TM5) image-based retrieval models for estimating the suspended particulate matter concentration (C-SPM) in water when missing coincident ground C-SPM measurements. This study, with the Poyang Lake in China as a case study, proposed an approach for developing TM5-based C-SPM retrieval models with the assistance of moderate resolution imaging spectroradiometer (MODIS) images. After validation with an independent dataset, a cubic C-SPM retrieval model of 250 m MODIS red band was used to estimate the C-SPM values at 100 sampling points from the MODIS images (MODIS-based C-SPM) captured at three time periods. The MODIS-based C-SPM values at the time period with the largest C-SPM variation were combined with their coincident TM5 image reflectance for TM5-based model calibrations. The linear, quadratic, cubic, power and exponential models of MODIS-based C-SPM against TM5 single bands and their combinations were calibrated, respectively. Four best-fitting TM5-based C-SPM models were selected to retrieve the C-SPM values at 100 sampling points from the TM5 images (TM5-based C-SPM) at the other two time periods, and the coincident MODIS- and TM5-based C-SPM values were compared to assess TM5-based model performances. Model calibration results showed that the cubic and exponential models of TM5 red band (band 3) and red subtracting mid-infrared band (band 5) obtained the best fitting for estimating C-SPM from the TM5 image on 12 August 2005, and they explained 94-97% of the variation of MODIS-based C-SPM values with an estimated standard error of 6.617-8.457 mg/l. Model validations indicated that the exponential model of TM5 red band got the best result for estimating C-SPM from TM5 images when the MODIS-based C-SPM values were assumed as ground truths (correlation coefficient between MODIS- and TM5-based C-SPM values = 0.96, root mean square error = 4.60 mg/l). We concluded that the TM5-based C-SPM retrieval models could be developed with the assistance of MODIS, and the approach proposed in this study will be helpful for other researchers who also want to retrieve C-SPM from TM5 image archive but without coincident ground C-SPM measurements. (C) 2013 International Society for Photogrammetry and Remote Sensing,

入藏号：WOS:000326558200009

文献类型：Article

语种：English

作者关键词：Water quality, Remote sensing, Model development, Exponential model

扩展关键词：INHERENT OPTICAL-PROPERTIES; WATER-QUALITY; SEDIMENT CONCENTRATION; POYANG LAKE; TAIHU LAKE; BIOOPTICAL MODEL; TIME-SERIES; CHINA; ALGORITHM; IMAGERY

通讯作者地址：Wu, Guofeng; Shenzhen Univ, Shenzhen Key Lab Spatial Informat Smart Sensing &, Coll Life Sci, Shenzhen 518060, Peoples R China.

电子邮件地址：guofengwu@gmail.com

地址：

[Wu, Guofeng] Shenzhen Univ, Shenzhen Key Lab Spatial Informat Smart Sensing &, Coll Life Sci, Shenzhen 518060, Peoples R China.

[Wu, Guofeng; Fei, Teng; Liu, Yaolin] Wuhan Univ, Sch Resource & Environm Sci, Key Lab Geog Informat Syst, Minist Educ, Wuhan 430079, Peoples R China.

[Cui, Lijuan] Chinese Acad Forestry, Inst Wetland Res, Beijing 100091, Peoples R China.

[Duan, Hongtao] Chinese Acad Sci, Nanjing Inst Geog & Limnol, State Key Lab Lake Sci & Environm, Nanjing 210008, Peoples R China.

研究方向：Physical Geography; Geology; Remote Sensing; Imaging Science & Photographic Technology

ISSN：0924-2716