Please wait a minute...
img

官方微信

遥感技术与应用  2002, Vol. 17 Issue (1): 22-26    DOI: 10.11873/j.issn.1004-0323.2002.1.22
研究与应用     
南京市城市绿地现状遥感分析
周文佐1,2,潘剑君1,刘高焕2
(1.南京农业大学资源与环境学院,江苏南京  210095;
2.中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室,北京  100101)
Analysis of Ecological Vegetation in Nanjing City
ZHOU Wen-zuo1,2, PAN Jian-jun1, LIU Gao-huan2
(1.College of Resource and Environmental Sciences,Nanjing Agric Univ,Nanjing210095,China;
2.Lab of Resource and Environmental Information System,Chinese
Academy of Sciences,Beijing100101,China)
 全文: PDF 
摘要:

应用TM影像对南京城市景观生态格局进行研究并对研究方法进行了探讨。为了提取正确的生态绿地专题信息,对提取的方法进行了探讨。研究中尝试用NDVI波段及其它波段组合对南京城市植被进行解译,效果较好。研究结果表明,南京生态绿地分布很不平衡。紫金山区的林地占主体,而繁华的中心城区,生态绿地相对总体绿地来说占据的面积很少。提出了南京生态绿地建设的合理化建议。

关键词: 绿地遥感图像南京    
Abstract:

Ecological vegetation features were studied using remote sensing and geographic information system
technology in Nanjing city and methods of research were discussed. In order to derive proper vegetation infor-
mation from TM image data, several means were tried in this study. Among them, the NDVI band was tested
with other bands and the result showed it was useful for lessening affection of hypsography of mountains on re-
motely sensed image data. The study showed that distribution state of vegetation in Nanjing city is extremely
un-even. Woodland of Zijin Mountain accounts for principal part of the total ecological vegetation. But the area
of ecological vegetation in flourishing central city is especially lacking comparatively. Spatial information tech-
nology, such as remote sensing and geographic information system, is effective in planning and extensive study-
ing ecological vegetation in city in order to provide scientific suggestion for improving ecological environment.
Based on the study, rational advice was brought forward for vegetation planning and construction in Nanjing
city.

Key words: Ecological vegetation    Remotely sensed image data    Nanjing
收稿日期: 2001-10-22 出版日期: 2011-11-21
:  TP 79  
基金资助:

国家自然科学基金项目49771043资助。

作者简介: 周文佐(1972-),男,硕士生,主要从事遥感与GIS在资源环境方面的应用研究。
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  

引用本文:

周文佐,潘剑君,刘高焕. 南京市城市绿地现状遥感分析[J]. 遥感技术与应用, 2002, 17(1): 22-26.

ZHOU Wen-zuo, PAN Jian-jun, LIU Gao-huan. Analysis of Ecological Vegetation in Nanjing City. Remote Sensing Technology and Application, 2002, 17(1): 22-26.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2002.1.22        http://www.rsta.ac.cn/CN/Y2002/V17/I1/22

〔1〕 车生泉,宋永昌.城市绿地景观卫星遥感信息解译〔J〕.城市环境与城市生态,2001,14(2):10~12.
〔2〕 宁书年.遥感图像处理与应用〔M〕.北京:地震出版社,1995.
〔3〕 Conese C, Maracchi G, Maracchi M,et al. Improvement in Maximum Likelihood Classification Performance on Highly Rugged Terrain Using Principal Components Analysis〔J〕. Int J Remote Sensing, 1993, 14(7): 1371~1382.
〔4〕 Bruzzone L. Detection of Changes in Remotely-sensed Images by the Selective Use of Multi-spectral Information〔J〕. Int J Remote Sensing, 1997, 18(18): 3883~3888.
〔5〕 上海园林科学研究所.上海市绿化遥感综合调查专题论文集〔J〕.上海园林科技,1990,4(1): 21~35.
〔6〕 Olsson H. Regression Functions for Multitemporal Relative Calibration of Thematic Mapper Data over Boreal Forest〔J〕. Remote Sensing of Environment, 1993,46(1): 89~102.

[1] 秦振涛,杨茹,张靖,杨武年. 基于聚类结构自适应稀疏表示的高光谱遥感图像修复研究[J]. 遥感技术与应用, 2018, 33(2): 212-215.
[2] 李小龙,杨英宝,曹利娟,章勇. 基于遥感和CFD模拟的城市绿地形态对热环境的影响研究[J]. 遥感技术与应用, 2016, 31(6): 1150-1157.
[3] 冯莉,李柳华,郭松,卢荻. HJ-1A NDVI与MODIS NDVI时间序列提取植被物候特征对比研究[J]. 遥感技术与应用, 2016, 31(6): 1158-1166.
[4] 王俊,秦其明,叶昕,王建华,秦雪彬,杨绣丞. 高分辨率光学遥感图像建筑物提取研究进展[J]. 遥感技术与应用, 2016, 31(4): 653-662.
[5] 张从梅,孙权森,王超,封磊,顾一禾. 基于非局部自相似性的遥感图像稀疏去噪算法[J]. 遥感技术与应用, 2016, 31(4): 739-747.
[6] 赵永光,李传荣,马灵玲,唐伶俐,王宁. 一种遥感图像太阳—观测几何归一化方法[J]. 遥感技术与应用, 2016, 31(2): 260-266.
[7] 肖新耀,许宁,尤红建. 一种基于à trous小波和联合稀疏表示的遥感图像融合方法[J]. 遥感技术与应用, 2015, 30(5): 1021-1026.
[8] 李盼盼,李兆富. 基于HJ-1B卫星数据的南京市地表温度反演研究[J]. 遥感技术与应用, 2015, 30(4): 653-660.
[9] 苏腾飞,李洪玉. 一种两阶段区域生长的遥感图像分割算法[J]. 遥感技术与应用, 2015, 30(3): 476-485.
[10] 侯鹏洋,季艳,高峰,胡蕾. 一种基于SIFT特征的快速逐层遥感图像配准方法[J]. 遥感技术与应用, 2014, 29(5): 873-877.
[11] 万智萍. 结合方向小波的多光谱与全色遥感图像融合算法[J]. 遥感技术与应用, 2014, 29(4): 660-668.
[12] 李青松,覃锡忠,贾振红,杨杰,胡英杰. 基于非下采样Shearlet和几何结构的遥感图像无监督变化检测[J]. 遥感技术与应用, 2014, 29(3): 482-488.
[13] 姜澒月,周坚华. 遥感图像薄云雾的梯度改正[J]. 遥感技术与应用, 2013, 28(4): 640-646.
[14] 欧阳能钧,李伟彤,韦蔚,潘晴. 基于SIFT与Contourlet变换的高分辨遥感图像配准[J]. 遥感技术与应用, 2013, 28(1): 58-64.
[15] 骆仁波,皮佑国,廖文志. 超光谱遥感图像有监督LPP特征提取研究[J]. 遥感技术与应用, 2012, 27(6): 850-856.