水环境参数定量遥感反演空间尺度误差分析

doi:10.11947/j.AGCS.2017.20160296

测绘学报 ›› 2017, Vol. 46 ›› Issue (4): 478-486.doi: 10.11947/j.AGCS.2017.20160296

水环境参数定量遥感反演空间尺度误差分析

李建¹, 田礼乔², 陈晓玲²

1. 武汉大学遥感信息工程学院, 湖北武汉 430079;
2. 武汉大学测绘遥感信息工程国家重点实验室, 湖北武汉 430079

收稿日期:2016-06-16 修回日期:2017-02-20 出版日期:2017-04-20 发布日期:2017-05-05
作者简介:李建(1987-),男,博士,讲师,研究方向为多源对地观测数据水环境定量遥感方法。
基金资助:
国家自然科学基金（41571344；41331174；41071261）；测绘地理信息公益性行业科研专项项目（201512026）；湖北省自然科学基金面上项目（2016CFB244）；测绘遥感信息工程重点实验室开放基金（1501）；中央高校基本科研业务费专项资金（2042016kf0053）；中国博士后科学基金；高分辨率对地观测系统重大专项（41-Y20A31-9003-15/17）；地理国情监测国家测绘地理信息局重点实验室基金

Spatial Scale Uncertainties on Quantitative Remote Sensing of Water Qualities

LI Jian¹, TIAN Liqiao², CHEN Xiaoling²

1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China;
2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

Received:2016-06-16 Revised:2017-02-20 Online:2017-04-20 Published:2017-05-05

摘要/Abstract

摘要： 对地观测技术的快速发展为水环境定量遥感监测提供了多源遥感数据的有利支撑，然而多源数据空间尺度差异引起的遥感数据和定量产品的不一致性严重制约了水环境科学研究和业务化应用。针对多源遥感数据的空间尺度转换和尺度误差问题，本文提出一种模拟遥感成像过程点扩散函数（PSF）的多源遥感数据空间尺度转换方法。以高空间分辨率GF-1卫星16 m遥感数据为基础，模拟了常用的内陆水环境监测卫星Landsat TM/ETM+/OLI（30 m）、Terra/Aqua MODIS （250 m、500 m、1000 m）数据，系统研究了高动态浑浊水体（以鄱阳湖悬浮颗粒物监测为例）多源定量遥感监测的空间尺度误差，并对比分析了常用的多源数据尺度转换方法（基于遥感反射率数据平均法和基于悬浮颗粒物产品平均法）的有效性。结果表明，基于点扩散函数的空间尺度转换方法与传统方法具有较高的相关性，基于遥感反射率数据平均法的水环境定量遥感产品的误差水平低于基于悬浮颗粒物产品平均法；相对于南海等相对平稳水体的低空间尺度误差水平（<0.5%），在高动态浑浊的内陆或近岸水环境遥感监测中，由空间尺度变化引起的产品误差可达±5%左右。因此，在高精度水环境定量遥感发展应用的需求和多源多尺度遥感数据协同的背景下，本文研究对于提高多源遥感监测产品的一致性和应用能力具有重要理论和现实意义。

关键词: 水环境, 遥感反射率, 空间尺度, 多源数据, 尺度误差

Abstract: The rapid development of the Earth Observation (EO) technology offers substantial data for remote sensing monitoring of water environment, however, the research and applications are often impeded by inconsistent products from multi-resolution remote sensing dataset. A point-spread-function (PSF) based spatial resolution transformation approach was proposed, to mitigate scale errors from multi-platform sensors of varied spatial resolution. Using the high spatial resolution data of GF-1 (16 m) as reference, medium to low spatial resolution data were simulated, including Landsat-like and Terra/Aqua MODIS-like images. Comparisons between the PSF based scale transformation method and classical method revealed significant correlation, which also prove the efficiency of the proposed method. The scale errors of the remote sensing reflectance (RRS) average method are lower than the suspended practical matter (SPM) average method. Higher than 5% scale errors were produced by spatial scale transformation in high dynamic turbid waters, while for calm ocean waters, the error was less than 0.5%. Therefore, it is crucial for selection of proper scale transformation method, to achieve consistent remote sensing products from multi-source data.

Key words: water environment, remote sensing, multi-scale data, spatial scale, scale error

中图分类号:

P208

李建, 田礼乔, 陈晓玲. 水环境参数定量遥感反演空间尺度误差分析[J]. 测绘学报, 2017, 46(4): 478-486.

LI Jian, TIAN Liqiao, CHEN Xiaoling. Spatial Scale Uncertainties on Quantitative Remote Sensing of Water Qualities[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(4): 478-486.

参考文献

[1] 杨桂山, 翁立达, 李利锋. 长江保护与发展报告2007[M]. 武汉: 长江出版社, 2007. YANG Guishan, WENG Lida, LI Lifeng. Yangtze Conservation and Development Report: 2007[M]. Wuhan: Changjiang Press, 2007.
[2] 潘德炉, 马荣华. 湖泊水质遥感的几个关键问题[J]. 湖泊科学, 2008, 20(2): 139-144. PAN Delu, MA Ronghua. Several Key Problems of Lake Water Quality Remote Sensing[J]. Journal of Lake Sciences, 2008, 20(2): 139-144.
[3] BARNES B B, HU Chuanmin, SCHAEFFER B A, et al. MODIS-derived Spatiotemporal Water Clarity Patterns in Optically Shallow Florida Keys Waters: A New Approach to Remove Bottom Contamination[J]. Remote Sensing of Environment, 2013, 134: 377-391.
[4] DOXARAN D, LAMQUIN N, PARK Y J, et al. Retrieval of the Seawater Reflectance for Suspended Solids Monitoring in the East China Sea Using MODIS, MERIS and GOCI Satellite Data[J]. Remote Sensing of Environment, 2014, 146: 36-48.
[5] 陈军, 王保军, 孙记红, 等. 基于Landsat/TM影像提取太湖CDOM浓度空间分布[J]. 光谱学与光谱分析, 2011, 31(1): 34-38. CHEN Jun, WANG Baojun, SUN Jihong, et al. Study on Colored Dissolved Organic Matter Concentration Retrieved from Landsat/TM Imagery at Taihu Lake[J]. Spectroscopy and Spectral Analysis, 2011, 31(1): 34-38.
[6] 曾群, 赵越, 田礼乔, 等. HJ-1A/1B卫星CCD影像水环境遥感大气校正方法评价研究——以鄱阳湖为例[J]. 光谱学与光谱分析, 2013, 32(5): 1320-1326. ZENG Qun, ZHAO Yue, TIAN Liqiao, et al. Evaluation on the Atmospheric Correction Methods for Water Color Remote Sensing by Using HJ-1A/1B CCD Image-taking Poyang Lake in China as a Case[J]. Spectroscopy and Spectral Analysis, 2013, 32(5): 1320-1326.
[7] LI Jian, CHEN Xiaoling, TIAN Liqiao, et al. Improved Capabilities of the Chinese High-resolution Remote Sensing Satellite GF-1 for Monitoring Suspended Particulate Matter (SPM) in Inland Waters: Radiometric and Spatial Considerations[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2015, 106: 145-156.
[8] LEE Z P, HU Chuanmin, ARNONE R, et al. Impact of Sub-pixel Variations on Ocean Color Remote Sensing Products[J]. Optics Express, 2012, 20(19): 20844-20854.
[9] 陈军, 王伟财, 王保军, 等. 悬浮泥沙浓度分布方差与尺度修正——八邻域算法[J]. 红外与毫米波学报, 2010, 29(6): 440-444, 460. CHEN Jun, WANG Weicai, WANG Baojun, et al. Distribution Variance of Suspended Sediment Concentration and Scaling Effect Correction: Eight Neighborhood Algorithm[J]. Journal of Infrared and Millimeter Waves, 2010, 29(6): 440-444, 460.
[10] 沈宏. 多源卫星数据的光谱带宽和空间尺度对水色参数遥感的影响[D]. 上海: 华东师范大学, 2012. SHEN Hong. Ee Ct of Spectral Bandwidth and Spatial Scale of Mul-sensors Data on Remote Sensing of Ocean Color[D]. Shanghai: East China Normal University, 2012.
[11] 郭玲玲, 吴泽鹏, 张立国, 等. 遥感相机在轨点扩散函数高精度测量方法[J]. 测绘学报, 2014, 43(3): 284-289, 297. DOI: 10.13485/j.cnki.11-2089.2014.0041. GUO Lingling, WU Zepeng, ZHANG Liguo, et al. A Precise Method to Measure the On-orbit Point Spread Function of Remote Sensors[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(3): 284-289, 297. DOI: 10.13485/j.cnki.11-2089.2014.0041.
[12] KISELEV V, BULGARELLI B, HEEGE T. Sensor Independent Adjacency Correction Algorithm for Coastal and Inland Water Systems[J]. Remote Sensing of Environment, 2015, 157: 85-95.
[13] HUANG Chengquan, TOWNSHEND J R G, LIANG Shunlin, et al. Impact of Sensor's Point Spread Function on Land Cover Characterization: Assessment and Deconvolution[J]. Remote Sensing of Environment, 2002, 80(2): 203-212.
[14] 张本. 鄱阳湖研究[M].上海: 上海科学技术出版社, 1988. ZHANG Ben. Studies on Poyang Lake[M]. Shanghai: Shanghai Scientific & Technical Publishers, 1988.
[15] ZHANG Minwei, TANG Junwu, DONG Qing, et al. Atmospheric Correction of HJ-1 CCD Imagery over Turbid Lake Waters[J]. Optics Express, 2014, 22(7): 7906-7924.
[16] WANG Menghua, SHI Wei. The NIR-SWIR Combined Atmospheric Correction Approach for MODIS Ocean Color Data Processing[J]. Optics Express, 2007, 15(24): 15722-15733.
[17] ROSENFELD A, KAK A C. Digital Picture Processing[M]. 2nd ed. New York: Academic Press, 1982: 457.
[18] SCHOWENGERDT R A. Remote Sensing, Models, and Methods for Image Processing[M]. 2nd ed. San Diego: Academic Press, 1997.
[19] FENG Lian, HU Chuanmin, CHEN Xiaoling, et al. Human Induced Turbidity Changes in Poyang Lake between 2000 and 2010: Observations from MODIS[J]. Journal of Geophysical Research, 2012, 117(C7). DOI: 10.1029/2011J C007864.
[20] 唐军武, 田国良, 汪小勇, 等. 水体光谱测量与分析Ⅰ: 水面以上测量法[J]. 遥感学报, 2004, 8(1): 37-44. TANG Junwu, TIAN Guoliang, WANG Xiaoyong, et al. The Methods of Water Spectra Measurement and Analysis I: Above-Water Method[J]. Journal of Remote Sensing, 2004, 8(1): 37-44.

水环境参数定量遥感反演空间尺度误差分析

Spatial Scale Uncertainties on Quantitative Remote Sensing of Water Qualities

PDF

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 5

编辑推荐

Metrics

本文评价

[1]	林珲, 吴贤宇, 潘家祎, 邹海波. 中国城市洪涝实时预报研究:现状与挑战[J]. 测绘学报, 2022, 51(7): 1306-1316.
[2]	郭漩, 钱海忠, 王骁, 刘俊楠, 任琰, 赵钰哲, 陈国庆. 多源道路智能选取的本体知识推理方法[J]. 测绘学报, 2022, 51(2): 279-289.
[3]	唐炉亮, 戴领, 任畅, 张霞. 现实与赛博空间数据相结合的城市活动事件时空建模[J]. 测绘学报, 2019, 48(5): 618-629.
[4]	李世忠, 程承旗, 王东, 濮国梁, 陈波. 基于全球剖分网格的地理空间信息保障服务技术研究[J]. 测绘学报, 2016, 45(S1): 115-120.
[5]	欧阳永忠. 海空重力测量数据处理关键技术研究[J]. 测绘学报, 2014, 43(4): 435-435.