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| 基于高分辨率卫星图像的深圳特区市政绿地结构特征分析 | |
| 引用本文： | 宋桂龙,谭一凡,肖国增,徐艳,韩烈保.基于高分辨率卫星图像的深圳特区市政绿地结构特征分析[J].草原与草坪,2009(4):36-39,44. |
| 作者姓名： | 宋桂龙 谭一凡 肖国增 徐艳 韩烈保 |
| 作者单位： | 1. 北京林业大学,草坪研究所,北京,100083 2. 深圳市园林科学研究所,广东,深圳,518003 3. 长江大学园艺园林学院,荆州,434025 4. 深圳市北林苑景观及建筑规划设计院有限公司,广东,深圳,518045 5. 北京林业大学,草坪研究所,北京,100083;长江大学园艺园林学院,荆州,434025 |
| 基金项目： | 深圳市城市管理局重点资助项目资助 |
| 摘 要： | 基于“Quickbird”卫星遥感数据对深圳特区市级公园及市政道路绿地现状进行判读，并结合实地调查数据进行比较分析。结果表明，判读结果与实地调查数据相符程度较高，尤其是面积相对较大的公园绿地；对于以乔木为主的分车道绿地，由于判读为覆盖面积，与调查面积出现一定差异；深圳市市政公园绿地中乔灌草所占比例最大，其次为乔草和草坪；市政道路绿地与公园绿地相比，乔木、乔草、灌草、灌木类型比例均有所上升，草坪面积大幅减少，乔灌草复合结构依然占绝对优势。 |
| 关 键 词： | 高分辨率卫星图像 市政绿地 结构特征 深圳 |
Analysis of landscape structural features of Shenzhen municipal green-land based on fineresolutioned satellite image |
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| SONG Gui-long,TAN Yi-fan,XIAO Guo-zeng,XU Yan,HAN Lie-bao.Analysis of landscape structural features of Shenzhen municipal green-land based on fineresolutioned satellite image[J].Grassland and Turf,2009(4):36-39,44. | |
| Authors: | SONG Gui-long TAN Yi-fan XIAO Guo-zeng XU Yan HAN Lie-bao |
| Institution: | SONG Gui-long1,TAN Yi-fan2,XIAO Guo-zeng3,XU Yan4,HAN Lie-bao1,3(1.Institute of Turfgrass Science,Beijing Forestry University,Beijing 100083,China,2.Shenzhen institute of l,scape science Shenzhen 518003,3.College of Horticulture , Garden,Yangtze University,Jingzhou 434025,4.Shenzhen BLY L,scape , Architecture Planning , Design Institute,Shen zhen 518045 China) |
| Abstract: | Actuality condition of urban park and municipal road green-land were described and analyzed based on Quick birdsatellite data and investigation data.The results showed that interpretation result based on Quick bird satellite data has more close to investigation data,especially for urban park.For driveway greenbelt,there are bigger difference between Quick bird satellite data and investigation data,because the driveway green belt is consist of big trees,which satellite data is cover area.In urban park,vegeta... |
| Keywords: | fine-resolutioned satellite image municipal green-land landscape structural features Shenzhen |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |