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国产高分影像在峡江枢纽库区土地利用变化监测中的应用
引用本文:杨智翔,何秀凤,贾东振,胡有能,黎亮,万红星.国产高分影像在峡江枢纽库区土地利用变化监测中的应用[J].水利水电技术,2011,51(7):23-30.
作者姓名:杨智翔  何秀凤  贾东振  胡有能  黎亮  万红星
作者单位:1. 江西省水利规划设计研究院,江西 南昌 330029; 2. 河海大学,江苏 南京 210098
基金项目:国家自然科学基金重点项目( 41830110) ; 水利部鄱阳湖水资源水生态环境研究中开放基金( kfjj201410) ; 江西省水利厅科技项目( KT201710,201820TG08)
摘    要:资源一号 02C( ZY-1 02C) 、高分( GF) 系列等国产高分辨遥感卫星的陆续发射极大地丰富了高分遥感应用的数据源,已广泛地应用于国土资源调查与土地利用变化监测研究中。峡江水利枢纽工程是江西省规模最大的水利工程,为掌握峡江水利枢纽工程建设对其库区土地利用/覆盖产生的影响,利用2013 年的资源一号 02C( ZY-1 02C) 卫星和 2015 年的高分一号( GF-1) 卫星两种影像对库区土地利用变化进行监测。对两幅高分影像进行正射校正、配准、几何精纠正等预处理,在分析卫星传感器特性的基础上,采用基于线性回归波段拟合方法进行多光谱与全色影像融合。最后,利用面向对象分类方法对两期影像进行了土地利用信息提取和地类变化分析。试验结果表明: 利用面向对象方法可实现对库区高分影像土地利用信息的精确提取,总体分类精度达到 87. 9%,Kappa 系数为 0. 836,完全满足遥感应用的精度要求。2013—2015 年间峡江库区土地利用变化的主要特征有: ( 1) 水体和建设用地有明显增加,分别增加 25. 64 km2和 13. 29 km2,耕地和林地面积减少较多,分别减少 19. 42 km2、14. 51 km2; ( 2) 地类变化的主导方向是耕地、其他用地向水体转变及耕地、林地向建设用地转化,这主要源于工程蓄水、移民安置及城市扩展等。

关 键 词:高分一号卫星  资源一号  02C  卫星  面向对象分类方法  土地利用变化  库区  峡江水利枢纽工程  遥感  湿地  
收稿时间:2019-09-16

Application ofdomestic high resolution remote sensing images to monitoring of land-use variation within reservoir area of Xiajiang Water Control Project
YANG Zhixiang,HE Xiufeng,JIA Dongzhen,HU Youneng,LI Liang,WAN Hongxing.Application ofdomestic high resolution remote sensing images to monitoring of land-use variation within reservoir area of Xiajiang Water Control Project[J].Water Resources and Hydropower Engineering,2011,51(7):23-30.
Authors:YANG Zhixiang  HE Xiufeng  JIA Dongzhen  HU Youneng  LI Liang  WAN Hongxing
Affiliation:1. Jiangxi Provincial Water Conservancy Planning and Designing Institute,Nanchang 330029,Jiangxi,China; 2. Hohai University,Nanjing 210098,Jiangsu,China
Abstract:In recent years,a number of Chinese remote sensing satellites,including GF- 1,GF- 2,ZY- 1 02C,have been launched,more and more high resolution remote sensing images could be applied to land-use investigation and change monitoring. Xiajiang hydro-junction project is the largest scale hydraulic engineering in Jiangxi Province. In order to understand the impact from the construction of Xiajiang Water Control Project on the land-use /coverage of its reservoir area,the land-use variation of its reservoir area is monitored with two kinds of images from both the ZY-1-02 C satellite in 2013 and GF-1 satellite in 2015. At first,both the original images are preprocessed through ortho-rectification,image registration,geometric precision correction,etc. ,and then the multispectral and panchromatic images are fused by means of the linear regression-based band fitting on the basis of the analysis of the performance of the satellite sensor. Finally,the information extraction of the land-use and the analysis of the land-type variation are made on the images of the two phases through the object-oriented classification method. The experiment results show that the accurate extraction of the land-use information from the high resolution remote sensing images can be realized with the object-oriented method along with the general accuracy of 87. 9% and Kappa coefficient of 0. 836,thus the accuracy requirement of the remote sensing application can be fully satisfied. The main characteristics of the land-use variation of the reservoir area of Xiajing Water Control Project are as the follows: ( 1) the land-uses for water body and construction are obvious increased with the increases of 25. 64 km2 and 13. 29 km2 respectively,while the areas of cultivated land forest land are more decreased with the decreases of 19. 42 km2 an 14. 51 km2 respectively; ( 2) the dominant direction of the land-type variation is the transformations of cultivated land and the other land-uses into water body along with the transformations of cultivated land and forest land into the construction land,which mainly caused by the impoundment of the project,resettlement arrangement,urban expansion,etc.
Keywords:GF-1 satellite  ZY-1 02C satellite  object-oriented classification method  land-use variation  reservoir area  Xiajiang Water Control Project  remote sensing  wetland  
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