Please wait a minute...
 
国土资源遥感  2011, Vol. 23 Issue (1): 15-20    DOI: 10.6046/gtzyyg.2011.01.03
  综述 本期目录 | 过刊浏览 | 高级检索 |
关于土地覆被遥感监测的几点思考
张磊, 吴炳方
(中国科学院遥感应用研究所,北京100101)
 A Discussion on Land Cover Mapping
 ZHANG Lei, WU Bing-Fang
(Institute of Remote Sensing Applications CAS, Beijing 100101, China)
全文: PDF(600 KB)   HTML  
输出: BibTeX | EndNote (RIS)      
摘要 

针对国内外土地覆被遥感监测中存在的突出问题展开讨论,分析土地覆被分类系统的目标适应性; 总结现有分类算法的特点及存在问题,分析小尺度和大尺度监测技术的差异性和效果; 研究不同尺度土地覆被监测所解决的应用问题及尺度空间变化下的分类效果; 分析现有监测体系的分类精度及产生误差的原因和解决方法。

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
ESRI中国(北京)有限公司
Abstract

This paper has dealt with some key problems existent in land cover mapping and analyzed objective adaptability of the classification system,which include the impacts of land cover definition uncertainty on classification effects, the features and adaptability of the classification algorithms, the gap and effects of fine and coarse scale monitoring techniques, the capability of land cover scaling for application, the scaling effects on classification, the procedures,problems and solutions of the classification system of land cover,the classification algorithm and its accuracy assessment, and the factors and solutions of accuracy and errors of the current monitoring systems.

收稿日期: 2010-06-18      出版日期: 2011-03-22
: 

TP 79

 
基金资助:

中国科学院知识创新工程重大项目“重大工程生态环境效应遥感监测与评估”(编号: KZCX1-YW-08)资助。

作者简介: 张磊(1965-),男,理学硕士,副研究员,现主要从事土地覆被与生态环境遥感研究,已发表论文10余篇。
引用本文:   
张磊, 吴炳方. 关于土地覆被遥感监测的几点思考[J]. 国土资源遥感, 2011, 23(1): 15-20.
ZHANG Lei, WU Bing-Fang.  A Discussion on Land Cover Mapping. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(1): 15-20.
链接本文:  
https://www.gtzyyg.com/CN/10.6046/gtzyyg.2011.01.03      或      https://www.gtzyyg.com/CN/Y2011/V23/I1/15

[1]Bartholome’e A S,Belward.GLC2000:A New Approach to Global Land Cover Mapping from Earth Observation Data[J].International Journal of Remote Sensing,2005,26(9):1959-1977.

[2]李秀彬.土地覆被变化的水文水资源效应研究——社会需求与科学问题[C]//全国土地覆被变化及其环境效应学术研讨会议文集.北京:星球地图出版社,2002:1-6.

[3]Herold M,Latham J S,Gregorio D,et al.Evolving Standards on Land Cover Characterization[J].J Land Use Sci,2006,1(2/4):157-168.

[4]Turner B L,Moss R H,Skole D L.Human Dimensions of Global Environmental Change Programme[R].HDP Report No.5,1993.

[5]Loveland T R,Reed B C.Development of A Global Land Cover Characteristics Database and IGBP DISCover from 1 km AVHRR Data[J].International Journal of Remote Sensing,2000,21(6,7):1303-1330.

[6]Hansen M C,DeFries R S,Townshend J R G,et al.Global Land Cover Classification at 1km Spatial Resolution Using a Classification Tree Approach[J].International Journal of Remote Sensing,2000(21):1331-1364.

[7]Friedl M A,McIver D K.Global Land Cover Mapping from MODIS:Algorithms and Early Results[J].Remote Sensing of Environment,2002(83):287-302.

[8]Mayaux P,Strahler A,Eva H,et al.Validation of the Global Land Cover 2000 Map[J].IEEE Trans Geosci Remote Sens,2006,44(7):1728-1739.

[9]Churkina G,Tenhunen J,Thornton P E,et al.Analyzing the Ecosystem Carbon Dynamics of Four European Coniferous Forest Using A Biogeochemistry Model[J].Ecosystems,2003(6):168-184.

[10]Krinner G,Viovy N,de Noblet-DucoudréN,et al.A Dynamic Global Vegetation Model for Studies of the Coupled Atmosphere-biosphere System[J].Global Biogeochemical Cycles,2005,19(1):1-44.

[11]Sitch S,Smith B,Prentice I C,et al.Evaluation of Ecosystem Dynamics,Plant Geography and Terrestrial Carbon Cycling in the LPJ Dynamic Global Vegetation Model[J].Global Change Biology,2003(9):161-185.

[12]Liu S,Loveland T R,Kurtz R M.Contemporary Carbon Dynamics in Terrestrial Ecosystems in the Southeastern Plains of the United States[J].Environmental Management,2004(33):442-456.

[13]Samaniego L,Bardossy A.Simulation of the Impacts of Land Use/cover and Climatic Changes on the Runoff Characteristics at the Mesoscale[J].Ecological Modelling,2006(196):45-61.

[14]Verbunta M,Zwaaftink M G,Gurtz J.The Hydrologic Impact of Land Cover Changes and Hydropower Stations in the Alpine Rhine Basin[J].Ecological Modelling,2005(187):71-84.

[15]Gregorio D A.Land Cover Classification System-Classification Concepts and User Manual for Software Version 2[M].Rome:FAO Environment and Natural Resources Service Series,No.8,2005.

[16]Breiman L,Friedman J H,Olshend R A,et al.Classification and Regression Trees[M].CA:Wadsworth,Monterey,1984.

[17]Vapnik V.The Nature of Statistical Learning Theory[M].New York:Springer-Verlag,1995.

[18]Mahesh P,Paul M,Mather.An Assessment of the Effectiveness of Decision Tree Methods for Land Cover Classification[J].Remote Sensing of Environment,2003(86):554-565.

[19]Lambin E F,Ehrlich D.The Surface Temperature-vegetation Index Space for Land Cover and Land-cover Change Analysis[J].International Journal of Remote Sensing,1996,17(3):463-87.

[20]Holbert B.Characteristics of Maximum-value Composite Images from Multitemporal AVHRR Data[J].International Journal of Remote Sensing,1986(7):1417-1431.

[21]Latifovica R,Zhu Z L,Cihlar J,et al.Land Cover Mapping of North and Central America—Global Land Cover 2000[J].Remote Sensing of Environment,2004(89):116-127.

[22]Jonsson P,Eklundh L.Seasonality Extraction by Function Fitting to Time-series of Satellite Sensor Data[J].IEEE Transactions on Geoscience and Remote Sensing,2002(40):1824-1832.

[23]Chen J,Jnsson P,Masayuki T,et al.A Simple Method for Reconstructing A High-quality NDVI Time-series Data Set Based on the Savitzky-Golay Filter[J].Remote Sensing of Environment,2004(91):332-344.

[24]Zhang X Y,Friedl M A,Schaaf C B,et al.Monitoring Vegetation Phenology Using MODIS
[J].Remote Sensing of Environment,2003(84):471-475.

[25]Young S S.Land-cover Change Analysis of China Using Global-scale Pathfinder AVHRR Landcover (PAL)Data1982-92[J].Int J Remote Sensing,2001,22(8):1457-1477.

[26]Liu J Y,Zhuang D F,Luo D,et al.Land-cover Classification of China:Integrated Analysis of AVHRR Imagery and Geophysical Data[J].Int J Remote Sensing,2003,24(12):2485-2500.

[27]Homer C,Dewitz J,Fry J,et al.Completion of the 2001 National Land Cover Database for the Conterminous United States[J].Photogrammetric Engineering & Remote Sensing,2007,73(4):338-341.

[28]Nathaniel D H,Barry N H,Elizabeth S.An Evaluation of Radar Texture for Land Use/Cover Extraction in Varied Landscapes[J].International Journal of Applied Earth Observation and Geoinformation,2004(5):113-128.

[29]Myint S W.Fractal Approaches in Texture Analysis and Classification of Remotely Sensed Data:Comparisons with Spatial Autocorrelation Techniques and Simple Descriptive Statistics[J].International Journal of Remote Sensing,2003,24(9):1925-1947.

[30]钱巧静,谢瑞,张磊,等.面向对象的土地覆被住处提取方法研究[J].遥感技术与应用,2005,20(3):338-342.

[31]Walker J S,Blaschke T.Object-based Land-cover Classification for the Phoenix Metropolitan Area:Optimization vs.Transportability[J].International Journal of Remote Sensing,2008,29(7):2021-2040.

[32]Raptisa V S,Vaughana R A,Wright G G.The Effect of Scaling on Landcover Classification from Satellite Data[J].Computers & Geosciences,2003(29):705-714.

[33]刘明亮,唐先明,刘纪远,等.基于1 km格网的空间数据尺度效应研究[J].遥感学报,2001,5(3):183-190.

[34]Gu D,Gillespie A.Topographic Normalization of Landsat TM Images of Forest Based on Subpixel Sun—Canopy—Sensor Geometry[J].Remote Sensing Environment,1998(64):166-175.

[1] 任金华, 吴绍华, 周生路, 林晨. 城市不透水面遥感研究进展[J]. 国土资源遥感, 2012, 24(4): 8-15.
[2] 孟鹏, 胡勇, 巩彩兰, 栗琳. 用劈窗算法反演地表温度的通道问题讨论[J]. 国土资源遥感, 2012, 24(4): 16-20.
[3] 吴伟, 吴堑虹, 邓吉秋. 基于四级网格划分的待匹配路段初筛方法研究[J]. 国土资源遥感, 2012, 24(4): 26-29.
[4] 侯学会, 牛铮, 黄妮, 许时光. 小麦生物量和真实叶面积指数的高光谱遥感估算模型[J]. 国土资源遥感, 2012, 24(4): 30-35.
[5] 王国军, 邵芸, 万紫, 张风丽. 双视向补偿最佳入射角组合研究[J]. 国土资源遥感, 2012, 24(4): 48-54.
[6] 杨何群, 尹球, 周红妹, 葛伟强. 利用MATLAB实现FY-3/MERSI地表温度反演及专题制图[J]. 国土资源遥感, 2012, 24(4): 62-70.
[7] 葛佳, 张子鸣, 吴成, 詹骞, 孙永军. 水蚀荒漠化信息自动提取方法研究[J]. 国土资源遥感, 2012, 24(4): 88-94.
[8] 徐爽, 沈润平, 杨晓月. 利用不同植被指数估算植被覆盖度的比较研究[J]. 国土资源遥感, 2012, 24(4): 95-100.
[9] 叶发旺, 刘德长. 高分卫星遥感数据在铀矿化褪色蚀变识别分析中的应用[J]. 国土资源遥感, 2012, 24(4): 117-123.
[10] 杨宝尧, 杜震洪, 刘仁义, 张丰. 基于第二次全国土地调查数据的土地利用现状图制图综合技术研究[J]. 国土资源遥感, 2012, 24(4): 107-111.
[11] 张华平, 刘丽, 王增辉, 赵西强. 遥感在多目标地球化学调查中的应用研究[J]. 国土资源遥感, 2012, 24(4): 132-137.
[12] 王冬寅, 朱谷昌, 张远飞. 典型地物光谱空间结构特征与基本统计参数分析[J]. 国土资源遥感, 2012, 24(4): 138-145.
[13] 金鑫, 柯长青. 基于混合像元分解的天山典型地区冰雪变化监测[J]. 国土资源遥感, 2012, 24(4): 146-151.
[14] 徐雯佳, 杨斌, 田力, 葛超英, 徐永利. 应用MODIS数据反演河北省海域叶绿素a浓度[J]. 国土资源遥感, 2012, 24(4): 152-156.
[15] 胡芳, 蔺启忠, 王钦军, 王亚军. 土壤钾含量高光谱定量反演研究[J]. 国土资源遥感, 2012, 24(4): 157-162.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-2
版权所有 © 2015 《自然资源遥感》编辑部
地址:北京学院路31号中国国土资源航空物探遥感中心 邮编:100083
电话:010-62060291/62060292 E-mail:zrzyyg@163.com
本系统由北京玛格泰克科技发展有限公司设计开发