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遥感技术与应用  2006, Vol. 21 Issue (6): 593-600    DOI: 10.11873/j.issn.1004-0323.2006.6.593
综述     
美国高分辨率土地覆盖信息提取技术研究进展
张 峰, 王 桥, 王文杰, 申文明, 罗海江, 刘晓曼
(中国环境监测总站, 北京 100029)
Development of Extraction for High-Resolution Land-cover Information in the United States
ZHANG Feng, WANG Qiao, WANG Wen-jie, SHEN Wen-ming,LUO Hai-jiang, LIU Xiao-man
(China National Environmental Monitoring Centre, Beijing 100029, China)
 全文: PDF 
摘要:

土地覆盖数据是进行全球变化研究的基础。美国地质调查局组织的土地覆盖特征研究项目成功的开展了两次工作, 建设了土地覆盖数据库, 得到了多方面的认可, 代表了美国相关领域的前沿技术。项目中涉及一系列技术, 包括土地覆盖分类分区、遥感影像选取、数据预处理过程、图像转换变化分析、土地覆盖分类技术、数据产品验证、土地覆盖数据库建设等。另外还有关键技术研究, 包括: 土地覆盖多边形分析、纹理特征分析、树冠密度信息提取、城市不透性表面估算等。就美国地质调查局项目中土地覆盖遥感影像数据处理方法、技术流程、数据库建设, 以及有关土地覆盖度等相关关键技术进行了介绍, 期望能够反映其进展情况, 对国内的相关工作起到启示作用。

关键词:  土地覆盖 遥感 技术进展 美国    
Abstract:

 Land-cover data was foundation about study for globe change. The USGS Multi-Resolution Land Characteristics (MRLC) Consortium was originally formed in 1993 in order to meet the needs of several federal agencies for Landsat 5 imagery, and land-cover information. One of the results of this consortium was the completion of a successful mapping of the conterminous United States into the National Land Cover Dataset (NLCD 1992). The growing need for current Landsat 7 data, land-cover and other geospatial data with in the federal government culminated in reforming the MRLC Consortium in 2000 (MRLC 2000) ,
and derived a second-generation National Land Cover Database (NLCD 2000). This multi-layer, multisource, value-added database will include a suite of 302meter resolution data that will serve as standardized ingredients for the production of land cover-both nationally and locally. There was systematic Image Processing for standard image data. At first, mapping zones as a re-classification stratification method that was stratified landscapes into sub-regions of similar biophysical and spectral characteristics. To meet the requ irements of the land cover database, the scene selection strategy was based on image quality and vegetation dynamics of target land cover types over a growing season. For MRLC 2000 image Preprocessing,images are geometrically corrected using cubic convolution resampling. Images are radiometrically corrected using standard methods at the USGS EROS Data Center to eliminate band bias and gain anomalies. And then images are converted to at-satellite reflectance for the 6 reflective bands and to at satellite temperature for the thermal band. TC transformations distill original resolution TM bands into spectral-efficient transformations without losing important information. NLCD 2000 classification included clustering, expert system , neural network and decision tree classifiers. Land cover derivative data layers were initially assessed using cross validation in both regression and decision treemodels. At the meantime, there are some method to enrich the land-cover dataset. Image segmentation is the process of separating an image into homogeneous polygons that depict distinct regions on the ground. Using the segmentation output, four shape measures are calculated including, convexity, compactness, fractal dimension, and form. Image texture is indicated by variance in pixel DN values across space. Per-pixel imperviousness and tree canopy estimates that is based on empirical relationships between tree canopy density and Landsat data, established using regression tree techniques. In this text,We are expecting that could reflect its progress situation, enlighten to the local related work.

Key words:  The united states    Land-cover    Remote sensing    Development
收稿日期: 2005-12-05 出版日期: 2011-09-27
:  TP 79  
基金资助:

国家科技部“十·五”科技攻关项目(2003BA 614A 206204)、国防科工委项目(科工技[ 2004 ]186) 和国家“十·五”863 计划项目(2003AA 131060) 资助。

作者简介: 张峰(1976- ) , 男, 博士, 主要从事生态环境遥感应用研究。
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引用本文:

张 峰, 王 桥, 王文杰, 申文明, 罗海江, 刘晓曼. 美国高分辨率土地覆盖信息提取技术研究进展[J]. 遥感技术与应用, 2006, 21(6): 593-600.

ZHANG Feng, WANG Qiao, WANG Wen-jie, SHEN Wen-ming,LUO Hai-jiang, LIU Xiao-man. Development of Extraction for High-Resolution Land-cover Information in the United States. Remote Sensing Technology and Application, 2006, 21(6): 593-600.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2006.6.593        http://www.rsta.ac.cn/CN/Y2006/V21/I6/593

〔1〕 史培军, 江源, 王静爱, 等. 土地利用/覆盖变化与生态安全响应机制〔M 〕. 北京: 科学出版社, 2004.
〔2〕 Caldwell R N. Manual for Photographic Interpretation〔M 〕.The American Society of Photogrammetry, Washington D,1960.
〔3〕 Defries K L , Townshend J R G. NDVI Derived Land-cover Classification at Global Scales〔J 〕.International Journal of Remote Sensing, 1994, 15: 3567-3586.
〔4〕 Land land T R, Reeed B C, Brown J F, et al. Development of A Global Land-cover Characteristics Database and IGBP DISCover from 1 km AVHRR Data〔J 〕. International Journal of Remote Sensing, 2000, 21: 1303-1330.
〔5〕 Laporte N T, Goetzs J , Justice C O, et al. A New Land-cover Map of Central Africa Derived from Multi Resolution,Multi Temporal AVHRR Data〔J 〕. International Journal of Remote Sensing, 1998, 19: 3537-3550.
〔6〕 Cihlanr J , Beaubien J. Land Cover of Canada 1995 Version11, Digital Dataset Docimentation〔R 〕.Natural  Resources Canda,Ottawa,Ontario 1998.
〔7〕 Loveland T R, Merchant J W , Ohlen D O , et al. Development of a Land Cover Characteristics Database for the Conterminous US〔J〕. Photogrammetric Engineering and Remote Sensing, 1991, 57: 1453-1463.
〔8〕 Eidenshink K J C, Faundeen J L. The 1 km AVHRR Global Land Dataset: First Stages in Implementation〔J〕. International Journal of Remote Sensing, 1994, 15: 3443-3462.
〔9〕 Landland T R, Reeed B C, Brown J F, et al. Development of a Global Land-cover Characteristics Database and IGBP DISCover from 1 km AVHRR Data〔J 〕. International Journal of Remote Sensing, 2000, 21: 1303-1330.
〔10〕 Loveland T R, BelwardA S. The IGBP DIS Global 1 km Land-cover Dataset, DisCover, First Results〔J〕. International Journal of Remote Sensing, 1997, 18: 3289-3295.
〔11〕 Loveland T R, Reed B C, Brown J F, et al. Development of A Global Land-cover Characteristics Database and IGBP Discover form 1 km AVHRR Data〔J 〕. International Journal of Remote Sensing, ( inreviw) , 1998, 19 (6) : 228-239.
〔12〕 Hansen M C, Reed B. A comparison of the IGBP DISCover and University of Maryland 1 km Global Land-cover Products〔J 〕. International Journal of Remote Sensing, 2000, 21(6/7) : 1365-1373.
〔13〕 刘纪远. 中国资源环境遥感宏观调查与动态研究〔M 〕. 北京:中国科学技术出版社, 1996: 262-275.
〔14〕 王桥, 黄浩. 中国西部地区生态环境现状遥感调查图集〔M 〕.北京: 科学出版社, 2002.
〔15〕 Pielke R, L ee T J , Copeland J H, et al. The Use of USGS Provided Data to Improve Weather and Climates Imulations〔J〕. Ecological Applications, 1997, 7: 3-21.
〔16〕 Lubchenco J A , Olson, Brubaker L , et al. The Sustainable Biosphere Initiative: An Ecological Resear Chagenda〔J〕.Ecology, 1991, 72 (2) : 371-412.
〔17〕 李晓兵. 国际土地利用—土地覆盖变化的环境影响研究〔J 〕.地球科学进展, 1999, 14 (4) : 395-400.
〔18〕 林光辉. 全球变化研究进展与新方向〔A 〕. 李博主编. 现代生态学讲座〔C〕. 北京: 科学出版社, 1995.
〔19〕 李秀彬. 全球环境变化研究的核心领域—土地利用/土地覆被变化的国际研究动向〔J〕. 地理学报, 1996, 51 (6) : 553-558.
〔20〕 Loveland T R, Shaw D M. Multiresolution Land Characterization: Building Collaborative Partnerships〔A 〕. In Proceedings of the ASPRS/GAP Symposium-Gap Analysis:A Landscape Approach to Biodiversity Planning〔C〕. Charlotte,North Carolina, 1996. 83-89.
〔21〕 Homer C G, Huang C, Yang L , et al. Development of a Circa2000 Land-cover Database for the United States〔A 〕. Pro-ceedings of the American Society of Photogrammetry and Remote Sensing Annual Conference〔C〕. 2002.
〔22〕 Vogelmann J E, Soh l T, Howard SM. Regional Characterization of Land Cover Using Multiple Sources of Data〔J 〕.Photogrammetric Engineering and Remote Sensing, 1998, 64:45-57.
〔23〕 Vogelmann J E, Wickham J D. Imp lementation Strategy for Production of National Land-Cover Data (NLCD ) from the Landsat 7 Thematic Mapper Satellite〔A 〕. EPA 600/R 200/051 Office of Research and Development,U. S〔C〕. Environmental Protection Agency,Washington D. C, 2000.
〔24〕 Homer C G, Gallant A. Partitioning the Conterminous United States Into Mapping Zones for Landsat TM Land Cover Mapping〔R〕. USGS Draft White Paper, 2001.
〔25〕 Yang L , Homer C, Hegge K, et al. A Landsat 7 Scene Selection Strategy for A National Land Cover Database. Proceedings of the IEEE 2001〔Z〕. International Geoscience and Remote Sensing Symposium, Sydney,Australia, 2001.
〔26〕 Irish R R. Landsat 7 Science Data User’s Handbooks〔S/OL 〕. http: //ltpwww. gsfc. nasa. gov/ IAS/handbook/hand-book- toc. html,National Aeronautics and Space Administration, 2000.
〔27〕 Huang C, Wylie B, Homer C, et al. Derivation of a Tasselled Cap Transformation Based on Landsat 7 At-Satellite Re-flectance〔J〕.International Journal of Remote Sensing, 2002,8: 1741-1748.
〔28〕 Zhu Z, Yang L , Stehman S V. Accuracy Assessment for theU. S. Geological Survey Regional Land Cover Mapping Program: NewYork and New Jersey Region〔J 〕. Photogrammetric Engineering and Remote Sensing, 2000, 66 (12) : 1425-1435.
〔29〕 Yang L , Stehman S V , Smith J H. Thematic Accuracy of MRLC Land Cover for the Eastern United States〔J〕. Remote Sensing of Environment, 2001, 76: 418-422.
〔30〕 Vogelmann J E, Howard S M , Yang L. Completion of the 1990s NationalL and Cover Data Set for the Conterminous United States from Landsat Thematic Mapper Data and Ancil-lary Data Sources〔J〕. Photogrammetric Engineering and Remote Sensing, 2001, 67 (6) : 650-662.
〔31〕 Huang C, Yang L , Wylie B, et al. A Strategy for Estimating Tree CanopyDensity Using Landsat 7 ETM + and High Resolution Images over Large Areas〔A 〕. Proceedings of the Third International Conference on Geospatial Information in Agriculture and Forestry〔C〕. 2001.
〔32〕 Yang L , Huang C, Homer C, et al. An Approach for Mapping Large-Area Impervious Surfaces: Synergistic Use of Landsat 7 ETM + and High Spatial Resolution Imagery〔J 〕.Canadian Journal of Remote Sensing, 2002, 29 (2) : 230-240.
〔33〕 Smith J H, Wickham J D, Norton D. Utilization of Landscape Indicators to Model Potential Pathogen Impaired Waters〔J〕. Journal of the American Water Resources Association,2001, 37 (4) : 805-814.

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