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| SPOT、QuickBird卫星遥感数据提取东沙岛植被信息的比较 | |
| 引用本文： | 初佳兰,张杰,王小龙,付军.SPOT、QuickBird卫星遥感数据提取东沙岛植被信息的比较[J].海洋学研究,2006,24(2):79-85. |
| 作者姓名： | 初佳兰 张杰 王小龙 付军 |
| 作者单位： | 1. 国家海洋局,第一海洋研究所,山东,青岛,266061 2. 国家海洋局,第一海洋研究所,山东,青岛,266061;国家海洋局,海洋环境科学与数值模拟重点实验室,山东,青岛,266061 3. 中国科学院,海洋研究所,山东,青岛,266071;中国科学院,研究生院,北京,100039 4. 国家海洋局,第一海洋研究所,山东,青岛,266061;中国海洋大学,环境科学与工程学院,山东,青岛,266071 |
| 基金项目： | 我国近海海洋综合调查与评价专项基金 |
| 摘 要： | 基于植被的光谱特征,利用监督分类、植被指数(NDV I)和目视解译等方法,分别用SPOT-5、Q u ickB ird高分辨率卫星遥感影像对东沙岛植被信息进行提取,并作了比对分析。研究结果表明:利用高分辨率遥感图像对东沙岛等小型岛屿的植被信息提取是可行的;SPOT-5多光谱数据具备了提取小型海岛植被信息、掌握其植被覆盖状况的能力;与SPOT-5多光谱数据相比,Q u ickB ird多光谱数据在植被精细分类信息的提取方面更具优势。 |
| 关 键 词： | 东沙岛 SPOT多光谱数据 QuickBird多光谱数据 植被信息提取 |
| 文章编号： | 1001-909X(2006)02-0079-07 |
| 修稿时间： | 2005年9月2日 |
Comparison of extracted vegetation information of Dongsha Island from SPOT and QuickBird images |
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| CHU Jia-lan,ZHANG Jie,WANG Xiao-long,FU Jun.Comparison of extracted vegetation information of Dongsha Island from SPOT and QuickBird images[J].Journal of Marine Sciences,2006,24(2):79-85. | |
| Authors: | CHU Jia-lan ZHANG Jie WANG Xiao-long FU Jun |
| Abstract: | Based on the spectrum characteristics of vegetation,the paper makes an extraction and a comparative analysis of the insular vegetation information by using methods of Supervised Classification,Normalized Difference Vegetation Index(NDVI) and artificial interpretation.Dada used in this research includes high-resolution optical images of SPOT-5 and QuickBird,and the focus is on Dongsha Island.The results indicate that: high-resolution satellite imagery is suited to the extraction of vegetation information on smaller island such as Dongsha Island;SPOT-5 multi-spectral image has an ability to distinguish vegetation from other objects and to learn its spatial information;QuickBird multi-spectral image displays an incomparable advantage in fine classification of vegetation compared with that of SPOT-5 image. |
| Keywords: | Dongsha Island SPOT multi-spectral image QuickBird multi-spectral image vegetation information extraction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |