含沙水体水深遥感方法的研究
Study of remote sensing-based bathymetric method in sand-containing water bodies
-
摘要: 遥感测深技术是海岸、河口及其他水体水深测量的一种新方法,应用前景广阔。在海洋的近岸、河口处水体相对浑浊,利用可见光技术测深的精度依赖于建立合适的水深反演模型和考虑水体悬浮物质的影响。选择合适的水深反演因子和比较多种线性、非线性水深反演模型,通过对水体悬浮泥沙光谱特性的研究,建立了适于河口、近岸浅水浑浊水体并考虑悬沙浓度影响的水深反演模型。通过检验,由该模型反演的平均相对误差小于15%,在7~14 m的水深段反演效果更好,其平均相对误差小于8.5%。Abstract: Remotely sensed bathymetric technology has awide application for the water-depth measurement in a coastal zone, an estuary and other water bodies of different types.Owing to the turbid characteristic of water, the bathymetry in nearshore and estuary areas by means of visible-light remote sensing technology is comparatively difficult.The improvement for the inversion precision of water depth in these areas mainly relies on two aspects:(1)the reliability of bathymetric inversion model; and (2) considering that how sunpended matter in a water body influences the reflection spectrum of water.Taking the Changjiang Estuary as a study area, firstly four appropriate water depth inversion factors were chosen by the correlation analysis between real water depth data and corresponding pixel reflectance value.And then, linear, nonlinear and BP artificial neural network models for the bathymetric inversion were established and compared in detail.On the basis of these models and the study results about the spectral characteristics of suspended sediments, a remote sensing-based bathymetric inversion model was established which was suitable for water depth extraction in shallow, turbid estuary and offshore areas.Inversion results showed that the average relative error is less than 15%.Between the water depths of 7~14 m, the precision is much better and the average relative error only reaches 8.5%.
-
Key words:
- remote sensing /
- bathy metry /
- sand-containing water body /
- spectral characteristic
-
DIRKS A.Shallow sea-floor reflectance and water depth derived by unmixing multispectral imagery[J].Photogrammetric Engineering & Remote Sensing,1987,59(2):221-228. MGENGEL V,SPITZER R J.Application of remote sensing data to reaping of shallow seafloor near by Netherlands[J].International Journal of Remote Sensing,1991,7:473-479. 李铁芳,易建春,厉银喜,等.浅海水下地形地貌遥感信息提取与应用[J].环境遥感,1991,6(1):22-29. 张鹰.水深遥感方法研究[J].河海大学学报,1998,26(6):68-72. 张东,张鹰.王文.统计相关水深遥感模式的建立[J].河海大学学报,1998,26(6):95-99. 陈涛,孙培光,吴曙初,等.大沽河口悬浮泥沙遥感模式实验[J].黄渤海海洋,1993,11(1):9-12. 乐华福,赵太初,陈立娣,等.SeaWiFS资料水色辐射模式验证的研究[J].海洋环境科学,1999,8(14):57-61. 朱立俊,尤玉明.辽东湾绥中海岸演变及悬沙分布特征的遥感分析[J].海洋工程,2000,18(1):65-69. 韩震.恽才兴,蒋雪中.悬浮泥沙反射光谱特性实验研究[J].水利学报,2003,12:118-122. DOXARAN D,FROIDEFOND J,CASTAING P.A reflectance band ratio used to estimate suspended matter concentrations in sediment dominated coastal waters[J].International Journal of Remote Sensing,2002.23(23):5079-5085. BINDING C E,BOWERS D G,MTTCHELSON-JACOB E G.An algorithm for the retrieval of suspended sediment concentrations in the Irish Sea from SeaWiFS ocean colour satellite imagery[J].Int J Remote Sensing,2003.24(19):3791-3806. 傅克忖.荒川久幸.悬沙水体不同波段反射比的分布特征及悬沙量估算实验研究[J].海洋学报,1999,21(3);134-140. 李四海,恽才兴.河口表层悬浮泥沙气象卫星遥感定量模式研究[J].遥感学报,2001,5(2):154-160. 李四海.河口悬浮泥沙浓度SeaWiFS遥感定量模式研究[J].海洋学报,2002,24(2):51-58. 魏凤英.现代气候统计诊断与预测技术[M].北京:气象出版社,1999. -
点击查看大图
计量
- 文章访问数: 983
- HTML全文浏览量: 8
- PDF下载量: 1265
- 被引次数: 0
下载:
