全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
-  2008 

崎岖地形动植物栖息地生态环境遥感制图与应用

Keywords: 动植物栖息地生态环境制图,IKONOS,结构分类,图像分割

Full-Text   Cite this paper   Add to My Lib

Abstract:

摘要: 传统制图方法周期长、成本较高,影响了大面积精细动植物栖息地生态环境制图的生产。鉴此,本文采用IKONOS(VHR)图像对香港郊野公园崎岖地形的动植物栖息地生态环境制图进行了研究。由于香港植被的多样性,而且观察的动植物相互作用出现于结构的层面,所以对动植物栖息地的分类应以结构为基础而非以植物为基础。本文利用图像处理技术,运用决策树之多层次地物导向分割分类(MOOSC)方法绘制九种动植物栖息地类型图。MOOSC方法和其他现有的几种分类方法相比,其分类精度高、成本低。

References

[1]  A shworth J M,Corlett R T,Dudgeon D,M elville DS,Tang W SM.Hong Kong Flora and Fauna:ComputingConservation.W orld W ide Fund for Nature,1993.
[2]  W alton DD.Northumberland National Park Phase onehabitat survey.Report of survey results p resented toNNPA and English Nature.Northumberland National Parkreport,Berw ick-upon-Tweed,1993.
[3]  M ehner H,Cutler M E J,Fairbairn D,Thomp son G et alRemote sensing of up land vegetation:the potential of highspatial resolution satellite sensors.Global Ecology and B iogeography,2004,13:359~369.
[4]  香港环境保护署(Environmental Protection Department).Environmental Baseline Survey:Ranking Basedon Conservation Value,2003.
[5]  张翠萍,牛建明,董建军等.植被制图的发展与现状.中山大学学报(自然科学版),2005,44(2):245~249.
[6]  程维明,刘海江等.中国1∶100万地表覆被制图分类系统研究.资源科学,2004,26(6):2~8.
[7]  张翠萍,牛建明,董建军等.基于IKONOS数据的植被制图与植被空间格局———以五分地沟试验区为例.生态学报,2006,26(2),449~456.
[8]  张翠萍,牛建明,董建军等.基于IKONOS的人工林地识别研究.中山大学学报(自然科学版),2007,46(3),93~97.
[9]  B rookes A M,Furse M T,Fuller R M.An assessment ofthe land cover map of Great B ritain w ithin headwaterstream catchments for four river system s in England andW ales.R.A lexander and A M illington(eds.).Vegetation M app ing.W iley,Chichester,2000,177~192.
[10]  Slater J,B rown R.Changing landscapes:Monitoring environmentally sensitive areas using satellite imagery.International Journal of Remote Sensing,2000,21:2753~2767.
[11]  M ather P M.Computer Processing of Remotely SensedImages:An introduction.London,John W iley&Sons,1999,292.
[12]  Keram itsoglu I,Sarimveis H,Kiranoudis C T,et a.lTheperformance of p ixel w indow algorithm s in the classification of habitats using VHSR imagery.ISPRS Journal ofPhotogrammetry and Remote Sensing,2006,60:225~238.
[13]  Toutin T,Cheng P.Demystification of IKONOS.EarthObservation M agazine,2000,9.
[14]  N ichol J E,Law K H,Wong M S.Emp irical correctionof low sun angle images in steep ly slop ing terrain:aslope2matching technique.International Journal of Remote Sensing,2006,27:629~635.
[15]  Pekkarinen A.A method for the segmentation of very highspatial resolution images of forested landscapes.International Journal of Remote Sensing,2002,27:629~635.
[16]  W ulder M A,Skakun R S,Kurz W A,W hite J C,eta.lEstimating time since forest harvest using segmentedLandsat ETM+imagery.Remote Sensing of Environment,2004,93:179~187.
[17]  Baatz M,Sch pe A.M ultiresolution segmentation:anop tim ization app roach for high quality multi-scale imagesegmentation.In J.Strobl et al.(eds).AngewandteGeographische Informationsverarbeitung X I.IBeitr gezum AGIT-Symposium Salzburg.Kerlsruhe:HerbertW ichmann Verlag,2000.
[18]  M cCoy R M.Field methods in remote sensing.TheGuildford Press,New York,2005,159
[19]  Coburn C A,Roberts A C B.A multiscale texture analysisp rocedure for imp roved forest stand classification.International Journal of Remote Sensing,2004,25:4287~4308.
[20]  Kanemasu E T.Seasonal canopy reflectance patterns ofwheat,sorghum and soyabean.Remote Sensing of Environment,1974,3:43~47.
[21]  N ichol J E,Lee C M.U rban vegetation monitoring inHong Kong using high resolution multispectral images.International Journal of Remote Sensing,2005,26(5):903~919.
[22]  Definiens.eCognition U ser Guide 4.Definiens ImagingGmbH,M unich,2004.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133