湄公河下游洪灾淹没面积多源遥感时序监测分析

doi:10.3969/j.issn.0255-8297.2016.01.009

应用科学学报 ›› 2016, Vol. 34 ›› Issue (1): 75-83.doi: 10.3969/j.issn.0255-8297.2016.01.009

湄公河下游洪灾淹没面积多源遥感时序监测分析

李通^1,2, 张丽², 申茜², 张炳华²

1. 山东农业大学信息科学与工程学院, 山东泰安 271018;
2. 中国科学院遥感与数字地球研究所数字地球重点实验室, 北京 100094

收稿日期:2015-02-10 修回日期:2015-07-01 出版日期:2016-01-30 发布日期:2016-01-30
通信作者: 张丽,研究员,研究方向:生态遥感,E-mail:zhangli@radi.ac.cn E-mail:zhangli@radi.ac.cn
基金资助:
国家"863"高技术研究发展计划基金(No.2013AA12A302)资助

Lower Mekong River Flood Area Monitored by Multi-source Remote Sensing

LI Tong^1,2, ZHANG Li², SHEN Qian², ZHANG Bing-hua²

1. College of Information Science and Engineering, Shandong Agricultural University, Taian 271018, Shandong Province, China;
2. Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China

Received:2015-02-10 Revised:2015-07-01 Online:2016-01-30 Published:2016-01-30

摘要/Abstract

摘要： 利用MODIS、FY3A MERSI、HJ1A/B CCD、Landsat TM等4种遥感数据,在评估获取的最优监测算法基础上监测湄公河下游地区2011年洪灾淹没面积时序变化,并结合MODIS土地覆盖类型产品对3种重要地物类型进行受灾区域分析.结果表明:在湄公河地区,采用HJ1A/B CCD、FY3A MERSI数据监测洪灾淹没面积时建议优选NDWI算法;用Landsat TM、MODIS数据时优选NDVI算法.监测结果显示,2011年10月湄公河下游柬埔寨和三角洲地区洪灾灾情较重,最大淹没面积是正常水体面积的6.5倍.洞里萨河流域是重灾区,其河道扩宽约40倍.大量水体在洪灾初期汇流入洞里萨湖,洞里萨湖在洪灾初期起到蓄洪作用.利用多源遥感卫星数据监测洪灾变化,可获取更详尽的信息,提高洪灾监测效率.

关键词: 多源遥感, 洪灾监测, 湄公河

Abstract: Remote sensing monitoring of submerged areas is an effective method to measure flooding, directly indicating severity of the disaster. This study uses MODIS, FY3A MERSI, HJ1A/B CCD and Landsat TM data to monitor time series of the flood inundation area in the Mekong River downstream in 2011, based on an optimal algorithm obtained from experiments. We evaluate the flood area with different types of vegetation using the MODIS land cover data. From the results the following recommendations are made. NWDI is the best algorithm for HJ1A/B CCD and FY3A MERSI. NDVI is more suitable for Landsat TM and MODIS data compared with other three algorithms. Cambodia and the Mekong Delta region had serious flooding disaster in October 2011, with the inundated area 6.5 times larger than the normal area. The Tonle Sap River basin was the worstaffected area, with the river widened by about 40 times. At the beginning of the flood, a large amount of water flowed into Tonle Sap Lake, which played an important role in storing flood water. Therefore, by combining advantages of multi-source remote sensing satellite data to monitor changes in the floods, we can acquire more detailed information and improve efficiency of flood detection.

Key words: multi-source remote sensing, flood monitoring, Mekong river

中图分类号:

TP79

李通, 张丽, 申茜, 张炳华. 湄公河下游洪灾淹没面积多源遥感时序监测分析[J]. 应用科学学报, 2016, 34(1): 75-83.

LI Tong, ZHANG Li, SHEN Qian, ZHANG Bing-hua. Lower Mekong River Flood Area Monitored by Multi-source Remote Sensing[J]. Journal of Applied Sciences, 2016, 34(1): 75-83.

参考文献

[1] Kuenzer C, Guo H D, Huth J, Leinenkugel P, Li X, Dech S. Flood mapping and flood dynamics of the Mekong delta:Envisat-Asar-Wsm based time series analyses[J]. Remote Sensing, 2013, 5(2):687-715.

[2] Sakamoto T, Nguyen N V, Kotera A, Ohno H, Ishitsuka N, Yokozawa M. Detecting temporal changes in the extent of annual flooding within the Cambodia and the Vietnamese Mekong delta from MODIS time-series imagery[J]. Remote Sensing of Environment, 2007, 3(3):295-313.

[3] 周成虎. 洪涝灾害遥感监测研究[J]. 地理研究,1993(2):63-68. Zhou C H. Flood disaster surveillance and evaluation by remote sensing[J]. Geographical Research, 1993(2):63-68. (in Chinese)

[4] 李加林,曹罗丹,浦瑞良. 洪涝灾害遥感监测评估研究综述[J]. 水利学报,2014(3):253-260. Li J L, Cao L D, Pu R L. Progresses on monitoring and assessment of flood disaster in remote sensing[J]. Journal of Hydraulic Engineering, 2014(3):253-260. (in Chinese)

[5] 李香颜,陈怀亮,李有. 洪水灾害卫星遥感监测与评估研究综述[J]. 中国农业气象,2009(1):102-108. Li X Y, Chen H L, Li Y. A review on monitoring and assessment of flood disaster by satellite remote sensing[J]. Chinese Journal of Agrometeorology, 2009(1):102-108. (in Chinese)

[6] 王伶俐,陈德清. 2013年黑龙江大洪水遥感监测分析[J]. 水文,2014(5):31-35. Wang L L, Chen D Q. Satellite remote sensing monitoring and analysis of Heilongjiang River flood in 2013[J]. Journal of China Hydrology, 2014(5):31-35. (in Chinese)

[7] 李斌,燕琴,张丽,梁勇. 长江中游洪涝灾害特征的MODIS时序监测与分析[J]. 武汉大学学报:信息科学版,2013(7):789-793. Li B, Yan Q, Zhang L, Liang Y. Flood monitoring and analysis over the middle reaches of Yangtze River basin with MODIS time-series imagery[J]. Geomatics and Information Science of Wuhan University, 2013(7):789-793. (in Chinese)

[8] Li W, Du Z Q, Ling F, Zhou D B,Wang H L, Gui Y M, Sun B Y, Zhang X M. A comparison of land surface water mapping using the normalized difference water index from TM, ETM+ and ALI[J]. Remote Sensing, 2013, 5(11):5530-5549.

[9] 席晓燕,沈楠,李小娟. ETM+影像水体提取方法研究[J]. 计算机工程与设计,2009(4):993-996. Xi X Y, Shen N, Li X J. Research of automatic extraction of water bodies on ETM+ images[J]. Computer Engineering and Design, 2009(4):993-996. (in Chinese)

[10] 汪金花,张永彬,孔改红. 谱间关系法在水体特征提取中的应用[J]. 矿山测量,2004(4):30-32. Wang J H, Zhang Y B, Kong G H. Application of water feature extraction with model of spectral relationship[J]. Mine Surveying, 2004(4):30-32. (in Chinese)

[11] 吴际通,谭伟,喻理飞. 基于TM/ETM+影像的不同水体指数对比研究[J]. 测绘科学,2013(4):193-195. Wu J T, Tan W, Yu L F. Comparative study of different water indexes based on TM/ETM + imagery[J]. Science of Surveying and Mapping, 2013(4):193-195. (in Chinese)

[12] Mcfeeters S K. The use of the normalized difference water index (NDWI) in the delineation of open water features[J]. International Journal of Remote Sensing, 1996, 17(7):1425-1432.

[13] 徐涵秋. 利用改进的归一化差异水体指数(MNDWI)提取水体信息的研究[J]. 遥感学报,2005(5):589-595. Xu H Q. A study on information extraction of water body with the modified normalized difference water index (MNDWI)[J]. Journal of Remote Sensing, 2005(5):589-595. (in Chinese)

[14] 张雨霁,李海涛,顾海燕. 基于决策树的面向对象变化信息自动提取研究[J]. 遥感信息,2011(2):91-94. Zhang Y J, Li H T, Gu H Y. A research on object-oriented analysis of automatic change information extraction based on decision tree[J]. Remote Sensing Information, 2011(2):91-94. (in Chinese)

[15] 周成虎,杜云艳. 基于知识的AVHRR影像的水体自动识别方法与模型研究[J]. 自然灾害学报,1996, 5(3):100-108. Zhou C H, Du Y Y. A description model based on knowledge for automatically recognizing water from NOAA/AVHRR[J]. Journal of Natural Disasters, 1996, 5(3):100-108. (in Chinese)

[16] 刘仁义,刘南. 基于GIS的复杂地形洪水淹没区计算方法[J]. 地理学报,2001(1):1-6. Liu R Y, Liu N. A GIS based model for calculating of flood area[J]. Acta Geographica Sinica, 2001(1):1-6. (in Chinese)

[17] 张行清,丁美花,陈燕丽,谭宗琨. 基于HJ-1卫星遥感的广西水库水面监测[J]. 水利学报,2014(4):427-434. Zhang X Q, Ding M H, Chen Y L, Tan Z K. Reservoirs monitoring in Guangxi based on HJ-1 satellite remote sensing images[J]. Journal of Hydraulic Engineering, 2014(4):427-434. (in Chinese)

[18] 孔凡明,蒋卫国,李京,袁丽华,陈曦,郭君. 基于MODIS的2011年泰国洪涝受灾信息提取与分析[J]. 灾害学,2013(2):95-99. Kong F M, Jiang W G, Li J, Yuan L H, Chen X, Guo J. Extraction and analysis of Thailand flood affected region in 2011 based on MODIS data[J]. Journal of Catastrophology, 2013(2):95-99. (in Chinese)

[19] 刘希林,尚志海. 自然灾害风险主要分析方法及其适用性述评[J]. 地理科学进展,2014(11):1486-1497. Liu X L, Shang Z H. Risk analysis methods of natural disasters and their applicability[J]. Progress in Geography, 2014(11):1486-1497. (in Chinese)

[20] 崔保山,杨志峰. 湿地生态系统健康评价指标体系Ⅰ:理论[J]. 生态学报,2002(7):1005-1011. Cui B S, Yang Z F. Establishing an indicator system for ecosystem health evaluation on wetlandsⅠ:a theoretical framework[J]. Acta Ecologica Sinica, 2002(7):1005-1011. (in Chinese)

湄公河下游洪灾淹没面积多源遥感时序监测分析

Lower Mekong River Flood Area Monitored by Multi-source Remote Sensing

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