基于GF-1与实测光谱数据鄱阳湖丰水期总悬浮物浓度反演

doi:10.6046/gtzyyg.2019.01.14

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摘要

总悬浮物浓度是水质评价的重要参数之一。2015年8月,在鄱阳湖布设33个采样点,通过测量水面光谱和采集水样进行检测,获取水面遥感反射率、总悬浮物浓度和叶绿素a浓度等数据。结合实测水面遥感反射率数据与总悬浮物浓度的相关性分析,建立了单波段、一阶微分和波段比值3种反演模型,并分别进行了精度验证。研究发现,3种反演模型的拟合度(R ²)均大于0.9,其中单波段模型最优,其R ²、均方根误差(root mean square error,RMSE)及平均相对误差(mean relative percentage error,MRPE)分别为0.980 5,3.78 mg/L和16.99%。将该单波段模型应用于2015年8月3日的高分一号(GF-1)卫星影像数据,同样得到了较高的反演精度,R ²,RMSE和MRPE分别为0.847 7,12.23 mg/L和35.22%。结果表明,鄱阳湖丰水期总悬浮物浓度值总体偏低,平均值为23.26 mg/L,高值主要集中在鄱阳湖北部通江河道及其以南的中部水域,其余水域分布较为均匀。利用2015年10月24日GF-1影像和准同步观测的21个采样点的总悬浮物浓度数据使用此模型做进一步验证,其反演精度接近于2015年8月影像验证结果,表明该模型能进一步推广应用到鄱阳湖不同时期总悬浮物浓度的反演。通过实测光谱的分析以及在遥感影像上的应用,可以为鄱阳湖总悬浮物浓度的反演以及环境监测提供参考。

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	高晨
	徐健
	高丹
	王莉莉
	王野乔

关键词 ：总悬浮物浓度, 反演方法, 高分一号, 实测水体光谱, 鄱阳湖

Abstract：

Total suspended matter is one of the important parameters to evaluate water quality. In this study, 33 data samples containing reflectance of water surface, concentration of total suspended matter and chlorophyll-a were used to conduct retrieval of total suspended matter, establish retrieval model and verify accuracy of model based on comparative analysis between field measured spectral reflectance and total suspended matter in Poyang Lake during the flood season. These models were single band, first-order differential and band ratio, respectively. The results showed that the R ² of three models was greater than 0.9, and the best was the single band model, and R ², RMSE and MRPE were 0.9805, 3.78mg/L and 16.99%, respectively. The single band model gave the better performance when it was applied to GF-1 satellite image data on August 3, 2015 and was validated, with R ², RMSE and MRPE being 0.8477, 12.23mg/L and 35.22%, respectively. It was also shown that the overall level of suspended matter concentration was low and the average value was 23.26mg/L. The higher value of total suspended matter was concentrated in the northern channel area. The concentration values of suspended matter was distributed uniformly in other areas of Poyang Lake. This model was further applied to GF-1 satellite image data on October 24, 2015 and was validated using 21 data samples of total suspended matter concentration obtained on October 23 and October 24, 2015. The retrieval accuracy was close to the result of image on August 3, 2015. The results indicate that this model can be also applied to retrieving the total suspended matter concentration of other periods in Poyang Lake. By analysis of field measured spectral reflectance and application of remote sensing image data, this study can provide reference for the retrieval of total suspended matter and environment monitoring of Poyang Lake.

Key words： total suspended matter concentration retrieval method GF-1 satellite data field measured water spectra Poyang Lake

收稿日期: 2017-07-10 出版日期: 2019-03-15

TP79

基金资助:国家自然科学基金项目“鄱阳湖浑浊水体溶解性有机碳遥感探测机理与反演方法研究”(41471298);江西省自然科学基金项目“鄱阳湖流域溶解有机碳的循环机理及其监测模型”(20133ACB20011);江西省重大生态安全问题监控协同创新中心项目“空间信息—智能传感综合技术平台”(JXS-EW-00);江西师范大学研究生创新基金项目“基于实测高光谱数据的城市湖泊水体有色可溶性有机物(CDOM)遥感反演——以南昌市瑶湖为例”共同资助(YJS2016023)

通讯作者: 徐健

作者简介: 高晨(1992-),女,硕士研究生,主要从事水色遥感研究。Email: gaochen1214@sina.com。

引用本文:

高晨, 徐健, 高丹, 王莉莉, 王野乔. 基于GF-1与实测光谱数据鄱阳湖丰水期总悬浮物浓度反演[J]. 国土资源遥感, 2019, 31(1): 101-109.
Chen GAO, Jian XU, Dan GAO, Lili WANG, Yeqiao WANG. Retrieval of concentration of total suspended matter from GF-1 satellite and field measured spectral data during flood period in Poyang Lake. Remote Sensing for Land & Resources, 2019, 31(1): 101-109.

链接本文:

https://www.gtzyyg.com/CN/10.6046/gtzyyg.2019.01.14 或 https://www.gtzyyg.com/CN/Y2019/V31/I1/101

Fig.1 鄱阳湖水域及其采样点

Tab.1 鄱阳湖采样点水质参数特征

Fig.2 鄱阳湖水体反射率光谱曲线

Fig.3 归一化遥感反射率与TSM浓度的相关系数

Fig.4 鄱阳湖水面实测遥感反射率光谱

反演方法	自变量	模型表达式	R²
单波段	$R (707)$	y = 234 016x³-1 587.9x²+772.22x+2.520 5	0.980 5
一阶微分	$R (777) - R (775) 777 - 775$	y = 2×10¹³x³-2×10⁹x²+565 942x+4.188	0.968 1
波段比值	$R (717) R (401)$	y = 8.616 6x³-47.114x²+127.39x-88.009	0.959 3

Tab.2 3种方法的TSM浓度反演模型

Fig.5 TSM浓度实测值与预测值对比

Fig.6 GF-1第3波段反射率与实测反射率对比

Fig.7 GF-1影像数据单波段模型反演TSM浓度的反演值与实测值对比(2015年8月)

Fig.8 2015年8月鄱阳湖TSM浓度空间分布

Tab.3 用于模型验证的21组TSM浓度数据

Fig.9 GF-1影像数据单波段模型反演TSM浓度的反演值与实测值对比(2015年10月)

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