基于同步现场实测与卫星遥感数据的水质参数反演研究

doi:10.7523/j.issn.2095-6134.2011.2.007

中国科学院大学学报 ›› 2011, Vol. 28 ›› Issue (2): 177-186.DOI: 10.7523/j.issn.2095-6134.2011.2.007

基于同步现场实测与卫星遥感数据的水质参数反演研究

王远东^1,2, 刘殿伟¹, 宋开山¹, 张柏¹, 姜广甲^1,2, 汤旭光^1,2

1. 中国科学院东北地理与农业生态研究所, 长春 130012;
2. 中国科学院研究生院, 北京 100049

收稿日期:2010-07-09 修回日期:2010-08-17 发布日期:2011-03-15
基金资助:
Supported by Knowledge Innovation Programs of the Chinese Academy of Sciences (KZCX2-YW-340 and KZCX2-YW-341) and the Key Project of Jilin Province Scientific and Technological development program (20080425)

Water quality retrievals using in-situ measurements and remote satellite data

WANG Yuan-Dong^1,2, LIU Dian-Wei¹, SONG Kai-Shan¹, ZHANG Bai¹, JIANG Guang-Jia^1,2, TANG Xu-Guang^1,2

1. Northeast Institute of Geography and Agricultural Ecology, Chinese Academy of Sciences, Changchun 130012, China;
2. Graduate University, Chinese Academy of Sciences, Beijing 100049, China

Received:2010-07-09 Revised:2010-08-17 Published:2011-03-15
Supported by:
Supported by Knowledge Innovation Programs of the Chinese Academy of Sciences (KZCX2-YW-340 and KZCX2-YW-341) and the Key Project of Jilin Province Scientific and Technological development program (20080425)

摘要/Abstract

摘要：

应用2007年8月29日Landsat-5 TM 多光谱影像,在现场实测支持下反演石头口门水库水质参数.在对室内水质实验获得的20个样点的7个变量进行集群分析(CA)与主成分分析(PCA)的基础上,建立起水质参数多元估算算法,最终将算法应用于影像生成石头口门水库整个区域水质参数空间分布专题图.

关键词: 遥感, 水质, 现场实测, 溶解有机碳, 多元回归

Abstract:

Water quality parameters were retrieved for the Reservoir Shitoukoumen using Landsat-5 TM data acquired on August 29, 2007 supported by concurrent in-situ measurements. On the basis of cluster analysis (CA) and principle component analysis (PCA) of twenty water samples with seven variables, multiple regression algorithms were established and subsequently used to produce water quality spatial distribution maps over the entire geographic area.

Key words: remote sensing, water quality, in-situ, dissolved organic carbon, multiple regression

中图分类号:

TP79

王远东, 刘殿伟, 宋开山, 张柏, 姜广甲, 汤旭光. 基于同步现场实测与卫星遥感数据的水质参数反演研究[J]. 中国科学院大学学报, 2011, 28(2): 177-186.

WANG Yuan-Dong, LIU Dian-Wei, SONG Kai-Shan, ZHANG Bai, JIANG Guang-Jia, TANG Xu-Guang. Water quality retrievals using in-situ measurements and remote satellite data[J]. , 2011, 28(2): 177-186.

参考文献

[1] Giardino C, Pepe M, Brivio P A, et al. Detecting chlorophyll, Secchi disk depth and surface temperature in a subalpine lake using Landsat imagery
[J]. The Science of the Total Environment, 2001, 268(1-3):19-29.

[2] Olmanson L G, Bauer M E, Brezonik P L. A 20-year Landsat water clarity census of Minnesota’s 10,000 lakes
[J]. Remote Sensing of Environment, 2008, 112(11):4086-4097.

[3] Ekercin S. Water quality retrievals from high resolution Ikonos multispectral Imagery: a case study in Istanbul, Turkey
[J]. Water Air Soil Pollut, 2007, 183(1-4): 239-251.

[4] stlund C, Flink P, Strombeck N, et al. Mapping of the water quality of Lake Erken, Sweden, from imaging spectrometry and Landsat Thematic Mapper
[J]. The Science of the Total Environment, 2001, 268(1-3):139-154.

[5] Ellis J B. Impacts of urban growth on surface water and groundwater quality
[M]. Birmingham: IAHS, 1999.

[6] Jensen J R. Remote sensing of the environment: An earth resource perspective, upper saddle river
[M]. New Jersey: Prentice-Hall, 2000.

[7] Thiemann S, Kaufmann H. Determination of chlorophyll content and trophic state of lakes using field spectrometer and IRS-1C satellite data in the Mecklenburg lake district, Germany
[J]. Remote Sensing of Environment, 2000,73(2):227-235.

[8] Bilge F, Yazici B, Dogeroglu T, et al. Statistical evaluation of remotely sensed data for water quality monitoring
[J]. International Journal of Remote Sensing, 2003, 24(24):5317-5326.

[9] Wang X J, Ma T. Application of remote sensing techniques in monitoring and assessing the water quality of Taihu Lake
[J]. Bulletin of Environmental Contamination and Toxicology, 2001, 67: 863-870.

[10] Koponen S, Pulliainen J, Kallio K,et al. Lake water quality classification with airborne hyperspectral spectrometer and simulated MERIS data
[J]. Remote Sensing of Environment, 2002, 79(1):51-59.

[11] Hellweger F L, Schlosser P, Lall U,et al. Use of satellite imagery for water quality studies in New York Harbor
[J]. Estuarine, Coastal and Shelf Science, 2004, 61(3):437-448.

[12] Hedger R D, Atkinson P M, Malthus T J. Optimizing sampling strategies for estimating mean water quality in lakes using geostatistical techniques with remote sensing
[J]. Lakes and Reservoirs: Research and Management, 2001, 6(4): 279-288.

[13] Kloiber S M, Brezonik P L, Bauer M E. Application of Landsat imagery to regional-scale assessments of lake clarity
[J]. Water Research, 2002, 36(17): 4330-4340.

[14] Kloiber S M, Brezonik P L., Olmanson L G, et al. A procedure for regional lake water clarity assessment using Landsat multispectral data
[J]. Remote Sensing of Environment, 2002, 82(1): 38-47.

[15] Sudhakar S, Pal D K. Water quality of the lake Chilka
[J]. Internation Journal of Remote Sensing, 1993, 14(14): 2575-2579.

[16] Braga C Z, Setzer A W. Water quality assessment with simultaneous landsat-5 TM data Guanabara bay, Rio de Janeiro, Brazil
[J]. Remote Sensing Environment , 1993, 45(1): 95-106.

[17] Chen Z, Muller-Karger F E, Hu C. Remote sensing of water clarity in Tampa Bay
[J]. Remote Sensing Environment, 2007, 109:249-259.

[18] APHA, AWWA, WEF. Standard methods for the examination of water and wastewater
[S]. 21st ed. Washington DC, USA: American Public Health Association/American Water Works Association/Water Environment Federation, 2005.

[19] Allen S E, Grimshaw H M, Parkinson J A. Chemical analysis, methods in plant ecology
[M].2nd ed. Moore D, Chapman S B (eds). Oxford: Blackwell Scientific Publication, 1986: 285-344.

[20] Thome K, Markham B, Barker J, et al. Radiometric calibration of Landsat
[J]. Photogrammetric Engineering & Remote Sensing,1997,63(7):853-858.

[21] Chander G, Markham B. Revised Landsat-5 TM radiometric calibration procedure and postcalibration dynamic range
[J]. IEEE Transaction on Geoscience and Remote Sensing , 2003, 41(11): 2674-2677.

[22] Adler-Golden S M, Matthew M W, Bernstein L S, et al. Atmospheric correction for short-wave imagery based on MODTRAN 4 // SPIE Proceedings. Florida: Orlando, 1999, 3753: 61-69.

[23] Han L, Jordan K J. Estimating and mapping Chl-a concentration in Pensacola Bay, Florida using Landsat ETM data
[J]. International Journal of Remote Sensing, 2005,26 (23):5245-5254.

[24] Whitlock C H, Kuo C Y, LeCroy S R. Criteria for the use of regression analysis for remote sensing of sediment and pollutants
[J]. Remote Sensing of Environment , 1982, 12: 151-168.

[25] Xu J P. Research on water optical properties and remote retrieval of water color matters in inland Case-II waters . Changchun: Northeast Institute of Geography and Agricultural Ecology, Chinese Academy of Sciences, 2008(in Chinese). 徐京萍. 石头口门水库水体光学特性及水色物质遥感反演研究 .长春:中国科学院东北地理与农业生态研究所,2008.

基于同步现场实测与卫星遥感数据的水质参数反演研究

Water quality retrievals using in-situ measurements and remote satellite data

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

访问统计

联系我们

[1]	陆小琳, 张万昌, 牛全福, 刘金平, 陈豪, 高会然. 黑龙江流域积雪的时空动态变化及其与气候因子的关系[J]. 中国科学院大学学报, 2021, 38(5): 601-610.
[2]	席彦新, 计璐艳, 耿修瑞. 一种多时相遥感图像多目标检测算法[J]. 中国科学院大学学报, 2021, 38(4): 503-510.
[3]	相恒星, 王宗明, 毛德华. 东北地区天然林资源保护工程生态保护成效分析[J]. 中国科学院大学学报, 2021, 38(3): 314-322.
[4]	黄萍萍, 王峰, 向俞明, 尤红建. 基于V-CSK视频遥感卫星运动目标检测跟踪方法[J]. 中国科学院大学学报, 2021, 38(3): 392-401.
[5]	李昶, 吴丽, 何裕建. 北京市怀沙河污染现状及主要污染源分析[J]. 中国科学院大学学报, 2021, 38(1): 73-82.
[6]	冯齐心, 杨辽, 王伟胜, 陈桃, 黄双燕. 基于时序光谱重构的卷积神经网络遥感农作物分类[J]. 中国科学院大学学报, 2020, 37(5): 619-628.
[7]	李森, 彭玲, 胡媛, 池天河. 基于FD-RCF的高分辨率遥感影像耕地边缘检测[J]. 中国科学院大学学报, 2020, 37(4): 483-489.
[8]	罗开盛. 基于面向对象技术的旅游用地遥感识别[J]. 中国科学院大学学报, 2020, 37(4): 490-497.
[9]	卢凯旋, 李国清, 陈正超, 昝露洋, 李柏鹏, 高建威. 基于负样本多通道优化SSD网络的钢铁厂提取[J]. 中国科学院大学学报, 2020, 37(3): 352-359.
[10]	矫腾章, 胡玉新, 吕鹏, 张凯, 台宪青. 一种在轨海上多运动舰船目标检测和跟踪方法[J]. 中国科学院大学学报, 2020, 37(3): 368-378.
[11]	毕森, 张丽, 谷雨, 王恒, 温礼, 李通, 毕京鹏. 21世纪海上丝绸之路沿线港口及港城关系变化分析[J]. 中国科学院大学学报, 2020, 37(1): 74-82.
[12]	李琪, 张娜, 罗英杰, 王昕, 景永才. 基于MFF₃₀方法的城市降雨径流初期冲刷效应[J]. 中国科学院大学学报, 2019, 36(5): 650-662.
[13]	唐永杰, 夏婧业, 陈雅娟, 代政, 蔡树伯, 刘春光. 独流减河水体及沉积物质量评价[J]. 中国科学院大学学报, 2019, 36(4): 537-544.
[14]	贾莹玉, 刘士彬, 段建波, 谢帅. 结合质量控制的震后房屋倒塌众包评估模型[J]. 中国科学院大学学报, 2019, 36(3): 354-362.
[15]	朱思捷, 雷斌, 吴一戎. 基于稠密卷积神经网络的遥感图像自动色彩校正[J]. 中国科学院大学学报, 2019, 36(1): 93-100.