| ASTER数据在深圳东部滨海地区土地利用调查中的应用 |
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| 引用本文： | 田波,周云轩,蒋云安,侯长谋.ASTER数据在深圳东部滨海地区土地利用调查中的应用[J].吉林大学学报(地球科学版),2008,38(1):121-128. |
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| 作者姓名： | 田波 周云轩 蒋云安 侯长谋 |
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| 作者单位： | 华东师范大学,河口海岸学国家重点实验室,上海,200062;华东师范大学,河口海岸学国家重点实验室,上海,200062;吉林大学,地球探测科学与技术学院,长春,130026;国家林业局,中南调查规划设计院,长沙,410014;广东省林业厅,广州,510173 |
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| 基金项目： | 教育部高等学校优秀青年教师教学科研奖励计划 |
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| 摘 要： | 以深圳市东部滨海地区为试验区,对2004年11月21日ASTER遥感数据进行辐射和几何精校正处理,实地建立分类样地;根据多边形样地矢量数据计算分析12类地物在ASTER各波段光谱反射图和分类叠合图,同时进行植被指数和短波红外5个波段主成分分析;结合GIS并利用ASTER光谱波段、第一主成分、植被指数、立体像对生成的地形因子建立土地利用分类决策树表;再根据决策树表对ASTER影像进行土地利用分类。经验证,分类结果总体精度达到85.1%。应用效果表明,利用ASTER数据进行土地现状资源调查具有很好的性价比,能够满足土地利用现状调查的准确度和精度。
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| 关 键 词： | ASTER遥感影像 土地利用 光谱叠合图 遥感分类 植被指数 |
| 文章编号： | 1671-5888（2008）01-0121-08 |
| 收稿时间： | 2007-03-27 |
| 修稿时间： | 2007年3月27日 |
Application of ASTER Data for Land-Use Classification in Coastal Area of East Shenzhen |
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| TIAN Bo,ZHOU Yun-xuan,JIANG Yun-an,HOU Chang-mou.Application of ASTER Data for Land-Use Classification in Coastal Area of East Shenzhen[J].Journal of Jilin Unviersity:Earth Science Edition,2008,38(1):121-128. |
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| Authors: | TIAN Bo ZHOU Yun-xuan JIANG Yun-an HOU Chang-mou |
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| Abstract: | Based on radiometric and geometrical correction of ASTER imagery data,the land-use classification of coastal area in the east of Shenzhen were investigated in this study.The sample sites were established through field investigation and vectorization.The reflectance map of each ASTER band and the overlay map of 12 classes of land-use type between bands were derived from the sample sites vector data.Also vegetation index and PCA of the five SWIR bands were mapped and analyzed.With a GIS tool,the study area was classified using knowledge-based decision-tree,which contains information from single ASTER bands,SWIR PCA1,vegetation index,and terrain parameters derived from ASTER stereo-pairs.The classification was validated with an accuracy of 85.1% and the case study showed that the ASTER imagery data can be used in land resource investigation with a low cost and acceptable accuracy. |
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| Keywords: | ASTER imagery data land-use reflectance overlay map remotely sensed classification vegetation index |
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