The coastline is defined as the line of contact between land and a body of water. Coastline change detection is critical issues for coastal resource management, coastal environmental protection, and sustainable development and planning. Changes of coastline may be caused by natural processes and/or human activities. Over the past 30 years, the coastal sites in Hangzhou Bay have been under an intensive restraint associated with population growth and economic development. This study introduced object-oriented classification method to monitor coastline changes in Hangzhou Bay using multi-source remote sensing data, i.e., Landsat Multispectral Scanner (MSS) image in 1983, Landsat Thematic Mapper (TM) image in 1993, Landsat Enhanced Thematic Mapper Plus (ETM + ) image in 2002, and Environment Satellite Charge Coupled Device (CCD) image in 2011. Results showed that, from 1983 to 1993, there was 60.2 km northern coastline moved landward with the maximum distance of 0.6 km and a lost area of 23.5 km2, because of the coastal erosion. And from 1993 to 2011, the northern coastline moved seaward because of land reclamation and construction. From 1993 to 2002, this part of coastline moved seaward with the maximum distance of 3.6 km and 42.5 km2 filled up areas. From 2002 to 2011, it moved seaward with the maximum distance of 2.7km and 61.0 km2 filled up areas. From 1983 to 1993, natural processes were the main reasons for northern coastline recession. During the study periods, southern coastline of Hangzhou Bay moved seaward caused by sedimentation and land reclamation. From 1983 to 1993, 1993 to 2002, and 2002 to 2011, this coastline moved seaward with the maximum distance of 1.8km, 2.7 km and 5.1 km, respectively, and with area of 34.3 km2, 230.2 km2 and 331.7km2 sea surfaces turned into mainland, respectively. Southern coastline moved seaward was the result of natural processes and human activities. From 1983 to 2011, the filled up areas were growing faster and larger. The result of this study can provide valuable information for Hangzhou Bay coastline dynamics and may assistant to the coastal land management and sustainable development and planning.
GU Meng-Meng, LIU Dian-Wei, WANG Zong-Meng, SHANG Xu-Guang, DONG Zhang-Yu
. Coastline Changes in Hangzhou Bay Based on Object-oriented Method Using Multi-source Remote Sensing Data[J]. Journal of Geo-information Science, 2013
, 15(2)
: 262
-269
.
DOI: 10.3724/SP.J.1047.2013.00262
[1] 于永海,苗丰民,王玉广,等.基于技术的海岸线测量与管理应用研究[J].地理与地理信息科学,2003,6(19):24-27.
[2] Sorensen J. The international proliferation of integratedcoastalzone management efforts[J]. Ocean and CoastalManagement, 1993,21(1-3):45-81.
[3] 李志强,陈子燊.砂质岸线变化研究进展[J].海洋通报,2003,22(4):76-84.
[4] Alesheikh A A, Sadeghi Naeeni F, Talebzade A. Improvingclassification accuracy using external knowledge[J]. GIMInternational, 2003,17(8):12-15.
[5] 杨金中,李志中,赵玉灵.杭州湾南北两岸岸线变迁遥感动态调查[J].国土资源遥感,2002,51(2):23-28.
[6] 陈云浩,冯通,史培军,等.基于面向对象和规则的遥感影像分类研究[J]. 武汉大学学报: 信息科学版,2006,31(4):316-320.
[7] Bhaskaran S, Paramananda S, Ramnarayan M. Per-pixeland object-oriented classification methods for mapping urbanfeatures using Ikonos satellite data [J]. Applied Geography,2010(30):650–665.
[8] Han N, Wu J, Tahmassebi A R S. NDVI-Based lacunaritytexture for improving identification of Torreya using object-oriented method [J]. Agricultural Sciences in China,2011,10(9):1431-1444.
[9] 马尚杰,裴志远,王庆发,等.基于多时相环境星数据的甘蔗收割过程遥感监测[J].农业工程学报,2011,27(3):251-219.
[10] 曹宝,秦其明,马海建,等.面向对象方法在SPOT5 遥感影像中的应用——以北京市海淀区为例[J].地理与地理信息科学,2006,22(2):46-54.
[11] Walter V. Object-based classifieation of remote sensingdata for change detection[J]. Journal of Photogrammetry & Remote Sensing, 2004(58):225-238.
[12] 张俊,朱国龙,李妍.面向对象高分辨率影像信息提取中的尺度效应及最优尺度研究[J].测绘科学,2011,36(2):107-109.
[13] 严海兵,李秉柏,陈敏东.遥感技术提取海岸线的研究进展[J].区域研究与开发,2009,28(1):101-105.
[14] 张华国,郭艳霞,黄韦艮,等.1986 年以来杭州湾围垦淤涨状况卫星遥感调查[J].国土资源遥感,2005(2):50-60.
[15] 浙江省发展和改革委员会.浙江省滩涂围垦总体规划(2005-2020 年)[R], 2006.
[16] 楼东,刘亚军,朱兵见.浙江海岸线的时空变动特征、功能分类及治理措施[J].海洋开发与管理,2012(3):11-16,48.
[17] 丁丽霞,周斌,张新刚,等.浙江大陆於涨型海岸线的变迁遥感调查[J].科学通报,2006,22(3):292-298.
[18] 周燕,赵聪蛟,余骏,等.杭州湾滨海滩涂湿地资源现状、问题与对策[J].海洋开发与管理,2009,7(26):116-121.
[19] 谷东起,赵晓涛,夏东兴.中国海岸湿地退化压力因素的综合分析[J].海洋学报,2003,25(1):78-81.
[20] 田博,遆超普,刘进超,等.杭州湾滨海湿地景观动态变化分析[J].遥感应用,2010(1):22-27.
[21] 茅志昌,郭建强,赵常青.杭州湾北岸金汇潮滩冲淤分析[J].海洋湖沼通报,2006(4):9-16.
[22] 郭亚鸽,于信芳,江东,等.面向对象的怎林植被遥感图像识别分类方法[J].地球信息科学学报,2012,14(4):514-522.
