GF-1 WFV影像的中小流域洪涝淹没水深监测
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摘要
针对目前水深监测仍主要依赖Landsat、SPOT等国外遥感卫星的问题,提出采用国产高分一号(GF-1)卫星16m分辨率WFV影像进行洪涝淹没水深监测。通过以中小流域为研究区,采取RS和GIS结合的水深测算方法计算淹没水深:在利用RS影像提取淹没范围的基础上,运用GIS方法由水面高程和地面高程之差计算得出淹没水深的空间分布。结果表明,GF-1卫星作为新兴的国产遥感数据源,凭借空间分辨率高和回访周期短的优势,可帮助摆脱对国外卫星遥感数据的依赖;GF-1卫星WFV影像提取水体精度较高,能广泛应用于中小流域洪涝灾害监测;RS和GIS结合的洪涝淹没水深监测算法简单易行,可快速计算在淹没范围已知情况下的水深。相关结果可为洪涝灾害监测与评估提供信息依据。
Aiming at the problem that water depth monitoring mainly depends on Landsat,SPOT and other foreign satellite images,this paper puts forward the use of WFV images of GF-1 satellite,with a spatial resolution of 16 m,to monitor flood depth.Taking the small and medium-sized basins as study area,the method of combining RS and GIS is applied to calculate flood depth:based on the flood extent extracted from RS images,the difference between water surface elevation and ground elevation with GIS can be used to calculate spatial distribution of flood depth.The results show that as a new domestic remote sensing data source,GF-1 satellite can relieve domestic users' dependence on foreign remote sensing data for the advantages of high spatial resolution and short return period;with high accuracy of water extraction,GF-1 WFV images can be widely used in the monitoring of flood hazards in the small and medium-sized basins;the algorithm for monitoring flood depth by combining RS and GIS is simple and easy,and it can quickly calculate depth with a known flood extent.Relevant results can provide information basis for flood disaster monitoring and assessment.
Aiming at the problem that water depth monitoring mainly depends on Landsat,SPOT and other foreign satellite images,this paper puts forward the use of WFV images of GF-1 satellite,with a spatial resolution of 16 m,to monitor flood depth.Taking the small and medium-sized basins as study area,the method of combining RS and GIS is applied to calculate flood depth:based on the flood extent extracted from RS images,the difference between water surface elevation and ground elevation with GIS can be used to calculate spatial distribution of flood depth.The results show that as a new domestic remote sensing data source,GF-1 satellite can relieve domestic users' dependence on foreign remote sensing data for the advantages of high spatial resolution and short return period;with high accuracy of water extraction,GF-1 WFV images can be widely used in the monitoring of flood hazards in the small and medium-sized basins;the algorithm for monitoring flood depth by combining RS and GIS is simple and easy,and it can quickly calculate depth with a known flood extent.Relevant results can provide information basis for flood disaster monitoring and assessment.
引文
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[12]李智峰.高分一号卫星在土地利用遥感监测中的应用[J].国土资源导刊,2015,12(3):85-88.
[13]张晶,占玉林,李如仁.高分一号归一化植被指数时间序列用于冬小麦识别[J].遥感信息,2017,32(1):50-56.
[14]地力拜尔·地力木拉提,米热沙力·卡米力.高分一号数据在地质灾害中的应用[J].西部探矿工程,2017,1:89-90.
[15]许研,张炜,司一丹,等.高分一号数据的气溶胶光学厚度反演和验证[J].遥感信息,2016,31(5):60-65.
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[17]周国良,高唯清,黄昌兴.2016年我国极端暴雨事件浅析[J].中国防汛抗旱,2017,27(1):75-79.
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[19]万庆,魏一鸣,陈德清,等.洪水灾害系统分析与评估[M].北京:科学出版社,1999.
[20]郑伟,刘闯,曹云刚,等.基于Asar与TM图像的洪水淹没范围提取[J].测绘科学,2007,32(5):180-181.
[21]简兴,张振国,邱银国,等.基于MODIS数据的水体提取研究进展[J].廊坊师范学院学报,2014,14(1):5-10.
[22]汤国安,杨昕.Arc GIS地理信息系统空间分析实验教程[M].北京:科学出版社,2006.
[23]李俊晓,李朝奎,殷智慧.基于Arc GIS的克里金插值方法及其应用[J].测绘通报,2013,9:87-90.
[2]黄诗峰,陈德清,李小涛,等.洪涝灾害遥感监测评估方法与实践[M].北京:中国水利水电出版社,2012.
[3]赵顺利,王建萍,王云飞.基于OLI遥感影像的错戳龙错盐湖水深反演研究[J].盐湖研究,2016,24(1):8-14.
[4]黄山.基于“3S”技术的洪泛湿地水深测算模型研究[D].重庆:西南大学,2011.
[5]王艳姣,董文杰,张培群,等.水深可见光遥感方法研究进展[J].海洋通报,2007,26(5):92-101.
[6]黄韦艮,傅斌,周长宝,等.星载SAR水下地形和水深遥感的最佳雷达系统参数模拟[J].遥感学报,2000,4(3):172-177.
[7]张秋霞,王义成.二维非恒定流洪水演进模拟模型开发及应用[J].水利水电技术,2009,40(3):62-65.
[8]陈德清,杨存建,黄诗峰.应用GIS方法反演洪水最大淹没水深的空间分布研究[J].灾害学,2002,17(2):1-6.
[9]丁志雄,李纪人,李琳.对洪水淹没分析的若干思考[C]∥中国水利学会学术年会.中国水利学会2003学术年会论文集.北京,2003:388-394.
[10]易永红,陈秀万,吴欢.基于遥感信息的淹没水深算法研究[J].地理与地理信息科学,2005,21(3):26-29.
[11]朱强,陈秀万,彭俊.基于网格的洪水损失计算模型[J].武汉大学学报,2007,40(6):42-46.
[12]李智峰.高分一号卫星在土地利用遥感监测中的应用[J].国土资源导刊,2015,12(3):85-88.
[13]张晶,占玉林,李如仁.高分一号归一化植被指数时间序列用于冬小麦识别[J].遥感信息,2017,32(1):50-56.
[14]地力拜尔·地力木拉提,米热沙力·卡米力.高分一号数据在地质灾害中的应用[J].西部探矿工程,2017,1:89-90.
[15]许研,张炜,司一丹,等.高分一号数据的气溶胶光学厚度反演和验证[J].遥感信息,2016,31(5):60-65.
[16]水利部水文局水文信息中心.中小河流山洪监测与预警预测技术研究[M].北京:科学出版社,2010.
[17]周国良,高唯清,黄昌兴.2016年我国极端暴雨事件浅析[J].中国防汛抗旱,2017,27(1):75-79.
[18]靖长山,卢亮,魏丹丹.举水流域“160701”特大暴雨洪水分析[J].工程技术,2016,17:294.
[19]万庆,魏一鸣,陈德清,等.洪水灾害系统分析与评估[M].北京:科学出版社,1999.
[20]郑伟,刘闯,曹云刚,等.基于Asar与TM图像的洪水淹没范围提取[J].测绘科学,2007,32(5):180-181.
[21]简兴,张振国,邱银国,等.基于MODIS数据的水体提取研究进展[J].廊坊师范学院学报,2014,14(1):5-10.
[22]汤国安,杨昕.Arc GIS地理信息系统空间分析实验教程[M].北京:科学出版社,2006.
[23]李俊晓,李朝奎,殷智慧.基于Arc GIS的克里金插值方法及其应用[J].测绘通报,2013,9:87-90.