Please wait a minute...
 
REMOTE SENSING FOR LAND & RESOURCES    2015, Vol. 27 Issue (4) : 150-157     DOI: 10.6046/gtzyyg.2015.04.23
Technology Application |
Spatial change analysis of the coastal zone of Liaodong Bay from 2001 to 2013
YANG Changkun1,2, LIU Zhaoqin2, WANG Chongchang1, LIU Bin2, PENG Man2
1. School of Geomatics, Liaoning Technical University, Fuxin 123000, China;
2. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
Download: PDF(6105 KB)   HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  

In this paper, the changes of the study area were studied comprehensively using Landsat5 and Landsat8 images from 2001 to 2013 based on the techniques of object-oriented classification and spatial analysis. The results based on quantitative and qualitative analysis show that great changes of the land use have taken place in coastal zone in the past 12 years, and the total length of the coastline has increased by 514 km, with the total area of the coast increasing by 404 km2. The results achieved by the authors further show that large areas of green land, wetlands and tidal flats have changed into port, construction land and unused land due to rapid economic development in the coastal zone.

Keywords remote sensing image      discrete wavelet transform(DWT)      two-dimensional multi-stage median filtering (TMMF)      improved TMMF algorithm      improved wavelet transform hard threshold function model      de-noising algorithm     
:  TP79  
Issue Date: 23 July 2015
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
ZHANG Qian
Cite this article:   
ZHANG Qian. Spatial change analysis of the coastal zone of Liaodong Bay from 2001 to 2013[J]. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(4): 150-157.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.2015.04.23     OR     https://www.gtzyyg.com/EN/Y2015/V27/I4/150

[1] 宋玮.基于不动点计算的岸线动态分析方法[D].青岛:中国海洋大学, 2004. Song W.Dynamic Analysis Method of Coastline Based on the Computation of Stationary Points[D].Qingdao:Ocean University of China, 2004.

[2] 夏东兴, 段焱, 吴桑云.现代海岸线划定方法研究[J].海洋学研究, 2009, 27(s1):28-33. Xia D X, Duan Y, Wu S Y.Study on the methodology of recent coastline delimitation[J].Journal of Marine Sciences, 2009, 27(s1):28-33.

[3] 贾明明, 刘殿伟, 王宗明, 等.面向对象方法和多源遥感数据的杭州湾海岸线提取分析[J].地球信息科学学报, 2013, 15(2):262-269. Jia M M, Liu D W, Wang Z M, et al.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.

[4] Descombes X, Moctezuma M, Maître H, et al.Coastline detection by a Markovian segmentation on SAR images[J].Signal Processing, 1996, 55(1):123-132.

[5] Frihy O E, Dewidar K M, Nasr S M, et al.Change detection of the northeastern Nile Delta of Egypt:Shoreline changes, Spit evolution, margin changes of Manzala lagoon and its islands[J].International Journal of Remote Sensing, 1998, 19(10):1901-1912.

[6] 冯兰娣, 孙效功, 胥可辉.利用海岸带遥感图像提取岸线的小波变换方法[J].青岛海洋大学学报, 2002, 32(5):777-781. Feng L D, Sun X G, Xu K H.The wavelet transform of using remote sensing image of coastal zone to extract coastline[J].Qingdao Ocean University, 2002, 32(5):777-781.

[7] 姜义, 李建芬, 康慧, 等.渤海湾西岸近百年来海岸线变迁遥感分析[J].国土资源遥感, 2003, 15(4):54-58.doi:10.6046/gtzyyg.2003.04.14. Jang Y, Li J F, Kang H, et al.A remote sensing analysis of coastline changes along the bohai bay muddy coast in the past 130 years[J].Remote Sensing for Land and Resources, 2003, 15(4):54-58.doi:10.6046/gtzyyg.2003.04.14.

[8] 张旭凯, 张霞, 杨邦会, 等.结合海岸类型和潮位校正的海岸线遥感提取[J].国土资源遥感, 2013, 25(4):91-97.doi:10.6046/gtzyyg.2013.04.15. Zhang X K, Zhang X, Yang B H, et al.Coastline extraction using remote sensing based on coastal type and tidal correction[J].Remote Sensing for Land and Resources, 2013, 25(4):91-97.doi:10.6046/gtzyyg.2013.04.15.

[9] 吴泉源, 侯志华, 于竹洲, 等.龙口市海岸带土地利用动态变化分析[J].地理研究, 2006, 25(5):921-929. Wu Q Y, Hou Z H, Yu Z Z, et al.Dynamic change analysis of land use in Longkou coastal zone[J].Geographical Research, 2006, 25(5):921-929.

[10] 朱会义, 李秀彬, 何书金, 等.环渤海地区土地利用的时空变化分析[J].地理学报, 2001, 56(3):253-260. Zhu H Y, Li X B, He S J, et al.Spatio-temporal change of land use in Bohai rim[J].Acta Geographica Sinica, 2001, 56(3):253- 260.

[11] 杜培军, 陈宇, 谭琨.江苏滨海湿地土地利用/覆盖变化与地表温度响应遥感监测[J].国土资源遥感, 2014, 26(2):112-120.doi:10.6046/gtzyyg.2014.02.19. Du P J, Chen Y, Tan K.The remote sensing monitoring of land use/cover change and land surface temperature responses over the coastal wetland in Jiangsu[J].Remote Sensing for Land and Resources, 2014, 26(2):112-120.doi:10.6046/gtzyyg.2014.02.19.

[12] 郑宗生, 周云轩, 田波, 等.基于数字海图及遥感的近60年崇明东滩湿地演变分析[J].国土资源遥感, 2013, 25(1):130-136.doi:10.6046/gtzyyg.2013.01.23. Zheng Z S, Zhou Y X, Tian B, et al.Evolution analysis of Chongming Dongtan wetland in recent 60 years based on digital nautical chart and remote sensing[J].Remote Sensing for Land and Resources, 2013, 25(1):130-136.doi:10.6046/gtzyyg.2013.01.23.

[13] 黄秉维.中国大百科全书·中国地理[M].北京:中国大百科全书出版社, 1993:49-50. Huang B W.Encyclopedia of China, China Geography[M].Beijing:The Encyclopedia of China Publishing House, 1993:49-50.

[14] 王建锋.辽东湾冬季流冰漂移预报的研究[D].大连:大连海事大学, 2008. Wang J F.Studies of Winter Stream Ice Drift Forecasts in Liaodong Bay[D].Dalian:Dalian Maritime University, 2008.

[15] 曹宝, 秦其明, 马海建, 等.面向对象方法在SPOT5遥感图像分类中的应用——以北京市海淀区为例[J].地理与地理信息科学, 2006, 22(2):46-49, 54. Cao B, Qin Q M, Ma H J, et al.Application of object-oriented approach to SPOT5 image classification:A case study in Haidian district, Beijing City[J].Geography and Geo-Information Science, 2006, 22(2):46-49, 54.

[16] Walter V.Object-based classification of remote sensing data for change detection[J].ISPRS-Journal of Photogrammetry and Remote Sensing, 2004, 58(3):225-238.

[17] Ge X Z, Sun X L, Liu Z Q.Object-oriented coastline classification and extraction from remote sensing imagery[C]//Remote Sensing of the Environment:18th National Symposium on Remote Sensing of China.Beijing:International Society for Optics and Photonics, 2014:915-927.

[18] 国家质量技术监督局.GB/T18190-2000海洋学术语、海洋地质学[S].北京:中国标准出版社, 2000. State Bureau Quality and Technical Supervision.GB/T 18190-2000 Oceanographic Terminology-Marine Geology[S].Beiing:Stardards Press of China, 2000.

[19] 马小峰.海岸线卫星遥感提取方法研究[D].大连:大连海事大学, 2007. Ma X F.The Means of Withdrawing Coastline by Remote Sensing[D].Dalian:Maritime University, 2007.

[20] 王小龙, 张杰, 初佳兰.基于光学遥感的海岛潮间带和湿地信息提取——以东沙岛(礁)为例[J].海洋科学进展, 2005, 23(4):477-481. Wang X L, Zhang J, Chu J L.Extraction of remotely sensed information of island intertidal zone and wetland:Taking the Dongsha Island as an example[J].Advances in Marine Science, 2005, 23(4):477-481.

[1] ZHANG Daming, ZHANG Xueyong, LI Lu, LIU Huayong. Remote sensing image segmentation based on Parzen window density estimation of super-pixels[J]. Remote Sensing for Natural Resources, 2022, 34(1): 53-60.
[2] XUE Bai, WANG Yizhe, LIU Shuhan, YUE Mingyu, WANG Yiying, ZHAO Shihu. Change detection of high-resolution remote sensing images based on Siamese network[J]. Remote Sensing for Natural Resources, 2022, 34(1): 61-66.
[3] SONG Renbo, ZHU Yuxin, GUO Renjie, ZHAO Pengfei, ZHAO Kexin, ZHU Jie, CHEN Ying. A method for 3D modeling of urban buildings based on multi-source data integration[J]. Remote Sensing for Natural Resources, 2022, 34(1): 93-105.
[4] LIU Zhizhong, SONG Yingxu, YE Runqing. An analysis of rainstorm-induced landslides in northeast Chongqing on August 31, 2014 based on interpretation of remote sensing images[J]. Remote Sensing for Natural Resources, 2021, 33(4): 192-199.
[5] ZHANG Chengye, XING Jianghe, LI Jun, SANG Xiao. Recognition of the spatial scopes of tailing ponds based on U-Net and GF-6 images[J]. Remote Sensing for Natural Resources, 2021, 33(4): 252-257.
[6] LI Yikun, YANG Yang, YANG Shuwen, WANG Zihao. A change vector analysis in posterior probability space combined with fuzzy C-means clustering and a Bayesian network[J]. Remote Sensing for Natural Resources, 2021, 33(4): 82-88.
[7] SANG Xiao, ZHANG Chengye, LI Jun, ZHU Shoujie, XING Jianghe, WANG Jinyang, WANG Xingjuan, LI Jiayao, YANG Ying. Application of intensity analysis theory in the land use change in Yijin Holo Banner under the background of coal mining[J]. Remote Sensing for Natural Resources, 2021, 33(3): 148-155.
[8] WANG Yiuzhu, HUANG Liang, CHEN Pengdi, LI Wenguo, YU Xiaona. Change detection of remote sensing images based on the fusion of co-saliency difference images[J]. Remote Sensing for Natural Resources, 2021, 33(3): 89-96.
[9] LIU Wanjun, GAO Jiankang, QU Haicheng, JIANG Wentao. Ship detection based on multi-scale feature enhancement of remote sensing images[J]. Remote Sensing for Natural Resources, 2021, 33(3): 97-106.
[10] LU Qi, QIN Jun, YAO Xuedong, WU Yanlan, ZHU Haochen. Buildings extraction of GF-2 remote sensing image based on multi-layer perception network[J]. Remote Sensing for Land & Resources, 2021, 33(2): 75-84.
[11] HU Suliyang, LI Hui, GU Yansheng, HUANG Xianyu, ZHANG Zhiqi, WANG Yingchun. An analysis of land use changes and driving forces of Dajiuhu wetland in Shennongjia based on high resolution remote sensing images: Constraints from the multi-source and long-term remote sensing information[J]. Remote Sensing for Land & Resources, 2021, 33(1): 221-230.
[12] LIU Zhao, ZHAO Tong, LIAO Feifan, LI Shuai, LI Haiyang. Research and comparative analysis on urban built-up area extraction methods from high-resolution remote sensing image based on semantic segmentation network[J]. Remote Sensing for Land & Resources, 2021, 33(1): 45-53.
[13] WANG Xiaobing. Denoising algorithm based on the fusion of lifting wavelet thresholding and multidirectional edge detection of remote sensing image of mining area[J]. Remote Sensing for Land & Resources, 2020, 32(4): 46-52.
[14] WEI Hongyu, ZHAO Yindi, DONG Jihong. Cooling tower detection based on the improved RetinaNet[J]. Remote Sensing for Land & Resources, 2020, 32(4): 68-73.
[15] LIU Shangwang, CUI Zhiyong, LI Daoyi. Multi-task learning for building object semantic segmentation of remote sensing image based on Unet network[J]. Remote Sensing for Land & Resources, 2020, 32(4): 74-83.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-2
Copyright © 2017 Remote Sensing for Natural Resources
Support by Beijing Magtech