基于Landsat 8影像的黄土干旱区地表水提取——以宝鸡市北部地区为例
|
摘要
基于遥感影像的水体信息提取对于陆表水资源调查和监测具有重要意义。以Landsat 8 OLI影像为数据源,秦岭北麓某黄土覆盖区为研究区,探讨了反映水体像元值的数理、空间统计分布特征。结果表明:OLI B4/B7影像可有效突出各类地表水体信息;研究区水体异常服从多重分形分布,根据无标度区走势可划分出3种不同性质的自然水体,即以大型水库为代表的深水水体、浅水水体(包括浅滩和湿地)和小规模汇水区;假异常较之于水体异常具有不稳定性和空间离散性,可分别通过GIS叠置分析、热点分析予以剔除。野外踏勘证实本研究水体解译精度接近100%。
Extraction of surface water information by the remote sensing image is of great significance to the surveying and monitoring of regional water resources. In this article,Landsat 8 OLI image is used as the data source,and a loess coverage area in the northern foot of the Qinling Mountains is taken as the study area. The study focuses on the characteristics of the mathematical and spatial statistics of the pixel values in the enhanced image that can expose the water information. The results showed that( 1) The B4/B7 ratioing image of the OLI can effectively highlight the water information of different properties.( 2) Pixels reflecting the water are proved to be fractally distributed. Three different properties of the natural water can be clarified as deep water like some large reservoirs,shallow water( including shoals and wetlands),and small-scale catchment areas.( 3) False anomalies are more unstable and dispersive than the water anomalies. These punctate false anomalies can reasonably be removed by GIS overlay analysis and hotspot analysis. The accuracy of this interpretation turns out to be close to 100%.
Extraction of surface water information by the remote sensing image is of great significance to the surveying and monitoring of regional water resources. In this article,Landsat 8 OLI image is used as the data source,and a loess coverage area in the northern foot of the Qinling Mountains is taken as the study area. The study focuses on the characteristics of the mathematical and spatial statistics of the pixel values in the enhanced image that can expose the water information. The results showed that( 1) The B4/B7 ratioing image of the OLI can effectively highlight the water information of different properties.( 2) Pixels reflecting the water are proved to be fractally distributed. Three different properties of the natural water can be clarified as deep water like some large reservoirs,shallow water( including shoals and wetlands),and small-scale catchment areas.( 3) False anomalies are more unstable and dispersive than the water anomalies. These punctate false anomalies can reasonably be removed by GIS overlay analysis and hotspot analysis. The accuracy of this interpretation turns out to be close to 100%.
引文
[1]孟令奎,郭善昕,李爽.遥感影像水体提取与洪水监测应用综述[J].水利信息化,2012(3):18-25.
[2]张风霖,李婧琳,缑变彩,等.基于Landsat 8卫星OLI的水体信息提取研究[J].山西建筑,2014,40(23):243-244.
[3]Jiang H,Feng M,Zhu Y Q,et al.An automated method for extracting rivers and lakes from Landsat imagery[J].Remote sensing,2014,6:5067-5089.
[4]Rokni K,Ahmad A,Selamat A,et al.Water feature extraction and change detection using multitemporal landsat imagery[J].Remote sensing,2014,6:4173-4189.
[5]Gao H,Wang L,Jing L,et al.An effective modified water extraction method for Landsat-8 OLI imagery of mountainous plateau regions[J].IOP Conference Series:Earth and Environmental Science,2016,34:012010.
[6]樊双虎,李荣西,王冉.“陕西1∶5万草碧镇(I48E008021)、两亭(I48E008022)、招贤(I48E008023)、千阳(I48E009021)、凤翔(I48E009022)、姚家沟(I48E009023)六幅黄土覆盖区填图试点(批准号:DD20160060)”投标书[R].西安:长安大学,2016.
[7]Vistelius A B.The skew frequency distributions and the fundamental law of the geochemical processes[J].Journal of Geology,1960,68(1):1-22.
[8]张玉君,杨建民,姚佛军,等.多光谱遥感找矿信息提取实用技术[M].北京:地质出版社,2014.
[9]Sridharan H,Qiu F.Developing an object-based hyperspatial image classifier with a case study using WorldView-2 data[J].Photogrammetric Engineering&Remote Sensing,2013,79(11):1027-1036.
[10]龚庆杰,张德会,韩东昱.一种确定地球化学异常下限的简便方法[J].地质地球化学,2001,29(3):215-220.
[11]Agterberg F P.Fractals and spatial statistics of point patterns[J].Journal of Earth Science,2013,24(1):1-11.
[12]Levy-Vehel J,Berroir J P.Image analysis through multifractal description[R].RR-1942,INRIA.1993.
[13]赵博,于蕾,邱骏挺,等.基于含量排列法的地球化学异常结构剖析---以浙西北地区Cu水系沉积物测量为例[J].物探与化探,2015,39(2):297-305.
[14]孙家抦,倪玲,周军其,等.遥感原理与应用[M].武汉:武汉大学出版社,2013.
[15]蔡柯柯.达布矿区及其外围多源遥感信息找矿预测研究[D].成都:成都理工大学,2011.
[16]Liu L,Zhou J,Jiang D,et al.Mineral resources prospecting by synthetic application of TM/ETM+,Quickbird and Hyperion data in the Hatu area,West Junggar,Xinjiang,China[J].Science Report,2016,6(6):1-14.
[17]邢超,李斌.ArcGIS学习指南---ArcToolbox[M].北京:科学出版社,2010.
[2]张风霖,李婧琳,缑变彩,等.基于Landsat 8卫星OLI的水体信息提取研究[J].山西建筑,2014,40(23):243-244.
[3]Jiang H,Feng M,Zhu Y Q,et al.An automated method for extracting rivers and lakes from Landsat imagery[J].Remote sensing,2014,6:5067-5089.
[4]Rokni K,Ahmad A,Selamat A,et al.Water feature extraction and change detection using multitemporal landsat imagery[J].Remote sensing,2014,6:4173-4189.
[5]Gao H,Wang L,Jing L,et al.An effective modified water extraction method for Landsat-8 OLI imagery of mountainous plateau regions[J].IOP Conference Series:Earth and Environmental Science,2016,34:012010.
[6]樊双虎,李荣西,王冉.“陕西1∶5万草碧镇(I48E008021)、两亭(I48E008022)、招贤(I48E008023)、千阳(I48E009021)、凤翔(I48E009022)、姚家沟(I48E009023)六幅黄土覆盖区填图试点(批准号:DD20160060)”投标书[R].西安:长安大学,2016.
[7]Vistelius A B.The skew frequency distributions and the fundamental law of the geochemical processes[J].Journal of Geology,1960,68(1):1-22.
[8]张玉君,杨建民,姚佛军,等.多光谱遥感找矿信息提取实用技术[M].北京:地质出版社,2014.
[9]Sridharan H,Qiu F.Developing an object-based hyperspatial image classifier with a case study using WorldView-2 data[J].Photogrammetric Engineering&Remote Sensing,2013,79(11):1027-1036.
[10]龚庆杰,张德会,韩东昱.一种确定地球化学异常下限的简便方法[J].地质地球化学,2001,29(3):215-220.
[11]Agterberg F P.Fractals and spatial statistics of point patterns[J].Journal of Earth Science,2013,24(1):1-11.
[12]Levy-Vehel J,Berroir J P.Image analysis through multifractal description[R].RR-1942,INRIA.1993.
[13]赵博,于蕾,邱骏挺,等.基于含量排列法的地球化学异常结构剖析---以浙西北地区Cu水系沉积物测量为例[J].物探与化探,2015,39(2):297-305.
[14]孙家抦,倪玲,周军其,等.遥感原理与应用[M].武汉:武汉大学出版社,2013.
[15]蔡柯柯.达布矿区及其外围多源遥感信息找矿预测研究[D].成都:成都理工大学,2011.
[16]Liu L,Zhou J,Jiang D,et al.Mineral resources prospecting by synthetic application of TM/ETM+,Quickbird and Hyperion data in the Hatu area,West Junggar,Xinjiang,China[J].Science Report,2016,6(6):1-14.
[17]邢超,李斌.ArcGIS学习指南---ArcToolbox[M].北京:科学出版社,2010.