[1]李月臣,杨华,刘春霞,等.土地覆盖变化遥感检测方法[J].水土保持研究,2006,13(01):209-216.
　LI Yue-chen,YANG Hua,LIU Chun-xia,et al.Methods of Land-cover Change Detection Based on Remote Sensing Technology[J].Research of Soil and Water Conservation,2006,13(01):209-216.
点击复制

土地覆盖变化遥感检测方法

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 13 期数: 2006年01期 页码: 209-216 栏目: 出版日期: 1900-01-01
Title:
Methods of Land-cover Change Detection Based on Remote Sensing Technology
作者:
李月臣1,2, 杨华2,3, 刘春霞2, 赵纯勇2
1. 北京师范大学环境演变与自然灾害教育部重点实验室 北京师范大学资源学院 北京 100875;
2. 重庆师范大学地理科学学院 重庆 400047;
3. 重庆大学土木工程学院 重庆 400045
Author(s):
LI Yue-chen1,2, YANG Hua2,3, LIU Chun-xia2, ZHAO Chun-yong2
1. College of Resources Science & Technology, Beijing Normal University, Beijing 100875, China;
2. College of Geography Science, Chongqing Normal University, Chongqing 400047, China;
3. Faculty of Civil Engineering, Chongqing University, Chongqing 400045, China
关键词:
土地覆盖; 变化检测; 遥感
Keywords:
land-cover; change detection; remote sensing
分类号:
Q149;TP79
摘要:
土地覆盖变化对与促进全球变化研究具有十分重要的意义。遥感技术是土地覆盖变化研究最有力的技术手段。各国学者发展了众多的变化检测方法，研究表明每种方法都具有优势与不足。实际研究中通常同时比较几种检测方法，选择其中最优的进行特定目的的研究。在总结前人研究的基础上，对变化检测研究中的遥感数据预处理、主要变化检测方法、变化检测阈值确定、变化类型分析以及检测精度检验等内容进行了系统的阐述，以期对土地覆盖变化研究能够起到积极作用。
Abstract:
Land-cover change detection is extremely important for researching global change.Remote sensing is primary technology used for change detection.In recent decades,many change detection methods have been developed.Previous researches have shown that each method has its own merits.In practice,different algorithms are often compared to find the best change detection results for a specific application and it involves many factors.The purpose of the review paper,which comprehensive exploration of all the major contents in the land-cover change detection based on remote sensing technology such as data preprocessing,major change detection methods,threshold problem,change type determining and accuracy assessment,is to promote the research of land-cover change detection.

参考文献/References:

[1] Nobre,C A,Sellers,P J,Shukla,J.Amazonian deforestation and regional climate change[J].Journal of Climate,1991,4(10):957.
[2] Nemani,R,Running,S W.Implementation of a hierarchical global vegetation classification in ecosystem function models[J].Journal of Vegetation Science,1996,7(3):337-346.
[3] Singh A.Digital change detection techniques using remotely-sensed data[J].Int.J.Remote Sensing,1989,10(6):989-1003.
[4] Coppin P,Jonckheere I,Nackaerts K,et al.Digital change detection methods in ecosystem monitoring:a review[J].Int.J.Remote Sensing,2004,25(9):1565-1596.
[5] Lu D,Mausel P,Brondizio,et al.Change detection techniques[J].Int.J.Remote Sensing,2004,25(12):2365-2407.
[6] Johnson R,Kasischke E S.Change vector analysis:a technique for the multispectral monitoring for land cover and condition[J].Int.J.Remote Sensing,1998,19(3):411-426.
[7] Townshend,J,Justice,C,Gurney,C,et al.The effect of image misregistration on the detection of vegetation change[J].IEEE Transactions on Geoscience and Remote Sensing,1992,30:1054-1060.
[8] Gilabert,M,Conese,C,Maselli,F.An atmospheric correction method for the automatic retrieval of surface reflectance from TM images[J].Int.J.Remote Sensing,1994,15:2065-2086.
[9] Tokola,T,Lofman,S,Erkkila,A.Relative calibration of multitemporal Landsat data for forest cover change detection[J].Remote Sensing of Environment,1999,68:1-11.
[10] Yang,X,LO,C.Relative radiometric normalization performance for change detection from multi-date satellite images[J].PE& RS,2000,66:967-980.
[11] Collins,J,Woodock,C.An assessment of several linear change detection techniques for mapping forest mortality using multitemporal Landsat TM data[J].Remote Sensing of Environment,1996,56:66-77.
[12] Townshend,J,Justice,C,Kalb,V.Characterization and classification of South America land cover types using satellite data[J],Int.J.Remote Sensing,1987,8:1189-1207.
[13] Holben,B.Characteristic of maximum value composite images for temporal AVHRR data[J].Int.J.Remote Sensing,1986,7(11):1417-1434.
[14] Viovy,N,Arino,O,Asbelward.The best index slope extraction(BISE):A method for reducing noise in NDVI time-series[J].Int.J.Remote Sensing,1992,13(8):1585-1590.
[15] Roerink,G,Menenti,M,Verhoef,W.Reconstructing cloudfree NDVI composites using Fourier analysis of time series[J].Int.J.Remote Sensing,2000,21(9):1911-1917.
[16] Chen Jin,Per Jonsson,Masayuki Tamura,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.
[17] Miller L,Nualchaweek,Tom C.Analysis of the dynamics of shifting cultivation in the tropical forests of northern Thailand using landscape modeling and classification of Landsat imagery[Z].NASA technical memorandum 79545,Goddard Space Flight Centre,Greenbel,Maryland,U.S.A.,1978.
[18] Hame,T.Satellite image aided change detection.In Remote sensing-aided forest inventory[R].Research Notes No.19,Department of Forest Mensuration and Management,University of Helsinki,Helsinki,Finland,1986.47-60.
[19] Fung Tung.An assessment of TM imagery for land-cover change detection[J].IEEE Transactions on Geoscience and Remote Sensing,1990,28(4):681-684.
[20] Ingram K,Knapp E,Robinson J.Change detection technique development for improved urbanized area delineation[Z].technical memorandum CSC/TM-81/6087,Computer Sciences Corporation,Silver Springs,Maryland,U.S.A.,1981.
[21] Yasuoka,Y.Detection of land-cover changes from remotely sensed images using spectral signature similarity[A].Proceedings of the 9th Asian Conference on Remote Sensing[C].November,1988.G31-G36.
[22] Coppin,P,Bauer,M.Processing of multitemporal Landsat TM imagery to optimise extraction of forest cover change features[J].IEEE Transactions on Geoscience and Remote Sensing,1994,32:918-927.
[23] 周斌.针对土地覆盖变化的多时相遥感探测方法[J].矿物学报,2000,20(2):165-171.
[24] Burns,G,Joyce,A.Evaluation of land cover change detection techniques using Landsat MSS data[A].Proceedings of the 7th PECORA Symposium,Sioux Falls[C].SD,USA(Bethesda,MD:ASPRS),1981.252-260.
[25] Singh,A.Change detection in the tropical forest environment of northeastern India using Landsat[A].In:Remote sensing and tropical land management[M].Edited by M J Eden,J T Parry.London:John Wiley & Sonos,1986.237-254.
[26] Howarth,P,Wickware,G.Procedures for change detection using Landsat[J].Int.J.Remote Sensing,1981,2:277-291.
[27] Stow,D,Collins,D,Mckinsey,D.Land use change detection based on multi-date imagery from different satellite sensor systems[J].Geocarto International,1990,5:3-12.
[28] Riordan C.Change detection for resource inventories using digital remote sensing data[A].Proceedings of the Workshop on In-Place Resource Inventories:Principles and Practices[C].University of Maine,Orono,ME,USA(Bethesda,MD:SAF),1981,pp.278-283.
[29] Michalek,J,Wagner T,J.Luczkovich J,et al.Multispectral change vector analysis for monitoring coastal Marine environments[J].PE& RS,1993,59(3):381-384.
[30] Lambin E,Strahler A.Change-vector analysis in multitemporal space:a tool to detect and categorize and cover change processing using high temporal-resolution satellite data[J].Remote Sensing of Environment,1994,48:231-244.
[31] Yuan D,Elvidge C Nalc.Land Cover Change Detection Pilot Study:Washington D.C.Area Experiments[J].Remote Sensing of Environment,1998,66:166-178.
[32] Guirguis,S,Hassan,H,Elraey,M,et al.Multitemporal change of Lake Brullus,Egypt,from 1983 to 1991[J].Int.J.Remote Sensing,1996,17:2915-2921.
[33] Singh,A,Harrison,A.Standardized principal components[J].Int.J.Remote Sensing,1985,6:883-896.
[34] Fung,T,Ledrew,E.The application of principal component analysis to change detection[J].PE& RS,1987,53:1649-1658.
[35] Ridd M,Liu J.A comparison of four algorithms for change detection in an urban environment[J].Remote Sensing of Environment,1998,63:95-100.
[36] Crist E,Cicone R.Application of the Tasseled Cap concept to simulated thematic mapper data[J].PE& RS,1984,50(3):343-362.
[37] Hall,F,Botkin,D,Strebel,D,Woods,K,et al.,Large-scale patterns of forest succession as determined by remote sensing[J].Ecology,1991,72:628-640.
[38] Liu,X,Lathrop,R G JR.Urban change detection based on an artificial neural network[J].Int.J.Remote Sensing,,2002,23:2513-2518.
[39] Dai X,Khorram S.Remotely sensed change detection based on artificial neural networks[J].PE& RS,1999,65:1187-1194.
[40] Henebry,G.Detecting change in grasslands using measures of spatial dependence with Landsat TM data[J].Remote Sensing of Environment,1993,46:223-234.
[41] Wane,F.A knowledge-based vision system for detecting land change at urban fringes[J].IEEE Transactions on Geoscience and Remote Sensing,1993,31:136-145.
[42] Lambin,E,Strahler,A.Indicators of land-cover change for change vector analysis in multitemporal space at coarse spatial scales[J].Int.J.Remote Sensing,1994,15:2099-2119.
[43] Morisette,J,Khorram,S,Mace T.Land-cover change detection enhanced with generalized linear models[J].Int.J.Remote Sensing,1999,20:2703-2721.
[44] Read,J,Lam,N.Spatial methods for characterizing land cover and detecting land cover changes for the tropics[J].Int.J.Remote Sensing,2002,23:2457-2474.
[45] Silapaswan,C,Verbyla,D,Mcguire,A.Land cover change on the Seward Peninsula:the use of remote sensing to evaluate the potential influences of climate warming on historical vegetation dynamics[J].Canadian Journal of Remote Sensing,2001,27:542-554.
[46] Petit,C,Scudder,T,Lambin E.Quantifying processes of land-cover change by remote sensing:resettlement and rapid land-cover change in southeastern Zambia[J].Int.J.Remote Sensing,2001,22:3435-3456.
[47] Myneni,R,Keeling,C,Tucker C,et al.Increased plant growth in the northern high latitudes from 1981 to 1991[J].Nature,1997.386:698-702.
[48] Plisnier,P,Serneels,S,Lambin E.Impact of ENSO on East African ecosystems:multivariate analysis based on climatologic and remote sensing data[J].Global Ecology and Biogeography Letters,2000,9:481-497.
[49] Andres,L,Salas,W,Skole D.Fourier analysis of multitemporal AVHRRdata applied to a land cover classification[J].Int.J.Remote Sensing,1994,15:1115-1121.
[50] Eastman,J R,Fulk,M.Long sequence time series evaluation using standardized principal components[J].PE& RS,1993,59:991-996.
[51] Young,S,Wang C.Land-cover change analysis of China using globalscale Pathfinder AVHRR Landover(PAL) data,1982-92[J].Int.J.Remote Sensing,2001,22:1457-1477.
[52] Nelson R.Detecting forest canopy change due to insect activity using Landsat MSS[J].PE& RS,1983,49:1303-1314.
[53] Bruzzone,L,Fernandez Prieto,D.Automatic analysis of the difference image for unsupervised change detection[J].IEEE Transactions on Geoscience and Remote Sensing,2000a,38:1171-1182.
[54] Bruzzone,L,Fernandez Prieto,D.A minimum-cost thresholding technique for unsupervised change detection[J].Int.J.Remote Sensing,2000b,21:3539-3544.
[55] Townshend R,Goff T,Tucker C.Multitemporal dimensionality of images of normalized difference vegetation index at continental scales[J].IEEE Transactions on Geoscience and Remote Sensing,1985,23:888-895.
[56] Johnson R,Kasischke E.Change vector analysis:a technique for the multispectral monitoring for land cover and condition[J].Int.J.Remote Sensing,1998,19(3):411-426.
[57] Smits,P,Dellepiane,S,Schowengerdt R.Quality assessment of image classification algorithms for land-cover mapping:a review and a proposal for a cost-based approach[J].Int.J.Remote Sensing,1999,20:1461-1486.
[58] Foody,G.Status of land cover classification accuracy assessment[J].Remote Sensing of Environment,2002,80:185-201.
[59] Congalton,R,Green,K.Assessing the Accuracy of Remotely Sensed Data:principles and Practices[M].Boca Raton,FL,USA:CRC/Lewis Press,1999.
[60] Congalton,R,Plourde,L.Quality assurance and accuracy assessment of information derived from remotely sensed data[A].In:Manual of Geospatial Science and Technology[M].Edited by J Bossler.London:Taylor & Francis,2002,349-361.
[61] Morisette,J,Khorram S,Mace T.Land-cover change detection enhanced with generalized linear models[J].Int.J.Remote Sensing,1999,20:2703-2721.
[62] Lowell,K.An area-based accuracy assessment methodology for digital change maps[J].Int.J.Remote Sensing,2001,22:3571-3596.
[63] Biging,G,Chrisman N,Colby D,et al.Accuracy assessment of remote sensing-detected change detection[A].Monograph Series[M].Edited by S.Khorram,American Society for Photogrammetry and Remote Sensing(ASPRS),MD,USA,1999.

相似文献/References:

[1]郑玲芳,郝芳华,杨胜天.天生桥一级水库蓄水前后库周土地覆盖变化研究[J].水土保持研究,2005,12(02):80.
　ZHENG Ling-fang,HAO Fang-hua,YANG Sheng-tian.RS-based Analysis of Land Cover Change in the Region Surrounding Tianshengqiao No.1 Hydropower Reservoir Before and After Its Construction[J].Research of Soil and Water Conservation,2005,12(01):80.
[2]郝芳华,王伟波,程红光,等.基于遥感影像数据的建设项目区域土地覆被变化分析[J].水土保持研究,2007,14(02):43.
　HAO Fang-hua,WANG Wei-bo,CHENG Hong-guang,et al.A Land Cover Changes Analysis in the Areas of Development Project by Landsat Data[J].Research of Soil and Water Conservation,2007,14(01):43.
[3]付永硕,郝芳华,成必新,等.四川德阳合兴场气田投产前后周围土地覆盖变化研究[J].水土保持研究,2007,14(03):140.
　FU Yong-shuo,HAO Fang-hua,CHENG Bi-xin,et al.RS-GIS-based Analysis of Land Cover Change in the Region of Hexingchang Gas Field in Sichuan Compared with Construction[J].Research of Soil and Water Conservation,2007,14(01):140.
[4]刘小丹,张克斌,曹永翔,等.柴达木盆地察汗乌苏绿洲土地覆盖分形研究[J].水土保持研究,2009,16(02):216.
　LIU Xiao-dan,ZHANG Ke-bin,CAO Yong-xiang,et al.Research on Fractal of Land Cover in Tsagan Us Oasis in Caidam Basin[J].Research of Soil and Water Conservation,2009,16(01):216.
[5]吴国玺,殷学永,申怀飞.基于GIS的许昌市土地利用/土地覆被变化研究[J].水土保持研究,2009,16(03):131.
　WU Guo-xi,YIN Xue-yong,SHEN Huai-fei.Study on Land Use/Land Cover Changes in Xuchang City Based on GIS[J].Research of Soil and Water Conservation,2009,16(01):131.
[6]张明华,谭悦.基于ETM+影像的唐山地区生态环境质量评价[J].水土保持研究,2010,17(04):104.
　ZHANG Ming-hua,TAN Yue.Ecology Environmental Quality Assessment of Tangshan Region Based on ETM+ Image[J].Research of Soil and Water Conservation,2010,17(01):104.
[7]冯荣光,林媚珍,纪少婷,等.珠三角典型县域土地覆盖格局动态分析——以广东省佛山市顺德区为例[J].水土保持研究,2014,21(05):54.
　FENG Rong-guang,LIN Mei-zhen,JI Shao-ting,et al.Land Cover Patterns in Typical County of the Pearl River Delta—A Case Study of Shunde District in Foshan City, Guanddong Province[J].Research of Soil and Water Conservation,2014,21(01):54.

备注/Memo

收稿日期:2005-3-31;
基金项目:中国科学院杰出海外学者基金（2001-1-13）
作者简介:李月臣（1974- ），男，山东德州人，博士生，主要在北京师范大学资源学院和重庆市GIS应用研究重点实验室从事资源环境遥感与GIS研究.

更新日期/Last Update: 1900-01-01