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遥感技术与应用  2015, Vol. 30 Issue (4): 798-809    DOI: 10.11873/j.issn.1004-0323.2015.4.0798
遥感应用     
基于面向对象分类的土地利用信息提取及其时空变化研究
白晓燕1,2,陈晓宏2,3,王兆礼4
(1.广东工业大学环境科学与工程学院环境工程系,广东 广州 510006;
2.中山大学地理与规划学院水资源与环境系,广东 广州 510275;
3.华南地区水循环与水安全广东省普通高校重点实验室,广东 广州 510275;
4.华南理工大学土木与交通学院,广东 广州 510640)
A Study on Land Use Information Extraction based on Object-oriented Classification Technology and the Temporal\|spatial Variation
Bai Xiaoyan1,2,Chen Xiaohong2,3,Wang Zhaoli4
(1.Department of Environmental Engineering,School of Environmental Science and Engineering,
Guangdong University of Technology,Guangzhou 510006,China;
2.Department of Water Resource and Environment,Geography and Planning School of
Sun Yat\|Sen University,Guangzhou 510275,China;
3.Key Laboratory of Water Cycle and Water Security in Southern China of
Guangdong Higher Education Institutes,Guangzhou,510275,China;
4.School of Civil and Transportation Engineering,South China University of
Technology,Guangzhou 510641,China)
 全文: PDF(42326 KB)  
摘要:

基于面向对象的影像分类技术与土地利用变化模型,选取处于剧烈变化环境下的东江流域为研究对象,对其1980~2008年的土地利用变化特征进行了研究。结果表明:(1)面向对象的遥感分类方法在SPOT5高分辨率遥感影像分类中具有较高的精度(总体精度达87.7%),可以有效避免“椒盐现象”发生;(2)1980~2008年东江流域的土地利用方式和空间格局发生了显著变化。耕地面积急剧减少了2 854.4 km2,流失的耕地主要转化为了林地、城镇建设用地;园地面积减少了667 km2,流失的园地主要转化为了林地;林地面积增加了1 988.7 km2,呈波动变化;草地面积比由4.9% 缩减为2.0%;水域面积先减少后增加;城镇用地呈快速增长趋势,年增长率高达186.23%。加强耕地保护和适度限制城镇用地增长对区域可持续发展至关重要。

关键词: 面向对象分类技术土地利用信息提取时空变化东江流域    
Abstract:

Based on the object\|oriented classification technology and land\|use change model,this paper focuses on Dongjiang river basin which is undergoing intense environmental change and analyzes its land use change characteristics from 1980 to 2008.The results shows that:①The object\|oriented classification method of remote sensing in SPOT5 high\|resolution remote\|sensing image classification has high accuracy(overall accuracy reaches 87.7%),and it can reduce effectively the “pepper and salt phenomenon”.②Significant changes in both land use ways and temporal\|spatial pattern have taken place in Dongjiang river basin during the period of 1980~2008.Dramatically the farmland decreased 2 854.4 km2,most of which were converted into forestland and urban construction land.The garden land decreased 667 km2,most of which were converted into forestland.The forestland increased 1 988.7 km2,being in the state of fluctuations.The grassland ratio decreased from 4.9% to 2.0%.Water body first decreased and then increased.The urban construction land showed a trend of dramatic increase with an annual increasing rate of 186.23%.Enhancing farmland protection and placing appropriate restriction on urban construction land is of great very importance to regional sustainable development.

Key words: Object-oriented classification technology    Land use information extraction    Temporal-spatial variation    Dongjiang river basin
收稿日期: 2014-01-25 出版日期: 2015-09-22
:  TP 75  
基金资助:

国家自然科学基金项目(51210013,50839005,51209095),国家科技支撑计划项目(2012BAC21B0103),水利部公益项目(201201094,201301002\|02),广东省科技厅项目(2010B050300010),中英瑞气候变化适应项目“广东气候变化风险评估及适应对策研究”(ACCC/20100705\|1)。

通讯作者: 陈晓宏(1963),男,湖北公安人,教授,主要从事水文水资源研究。Email:eescxh@mail.sysu.edu.cn。    
作者简介: 白晓燕(1978-),女,河南郸城人,讲师,主要从事区域水资源与环境变异研究。Email:xybai7829@163.com。
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引用本文:

白晓燕,陈晓宏,王兆礼. 基于面向对象分类的土地利用信息提取及其时空变化研究[J]. 遥感技术与应用, 2015, 30(4): 798-809.

Bai Xiaoyan,Chen Xiaohong,Wang Zhaoli. A Study on Land Use Information Extraction based on Object-oriented Classification Technology and the Temporal\|spatial Variation. Remote Sensing Technology and Application, 2015, 30(4): 798-809.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2015.4.0798        http://www.rsta.ac.cn/CN/Y2015/V30/I4/798

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