期刊文献+

形态学图像处理方法在湿地破碎化格局中的应用 被引量:2

Application of morphological image processing in the study of marsh fragmentation pattern
在线阅读 下载PDF
导出
摘要 以三江平原沼泽湿地为研究单元,应用形态学图像处理技术在基于像元水平的二元沼泽湿地图上对沼泽湿地类型进行分类,并应用形态学模型和类型统计模型系统分析了三江平原1980—2000年间沼泽湿地景观破碎化的时空变化格局。结果表明,20年间,三江平原沼泽湿地面积由快速下降趋于缓慢下降。核心湿地面积急剧减小,由大面积分布逐步向三江平原东北部的别拉洪河和挠力河流域集中。孔隙湿地面积减小比例最大,目前处于消亡状态,由原来的沼泽湿地内部异质景观向同质景观过渡。核心和孔隙湿地大部分转化为斑块湿地,主要位于三江平原西北部、中部和南部,有逐步取代东北部核心湿地的趋势。边缘湿地面积比例年增长最快,且边缘像元宽度越来越宽,三江平原西部、南部和东部地区的核心湿地几乎全部由边缘湿地取代,易产生一定的边缘效应,导致种群间的竞争更加激烈。 Taking Sanjiang Plain marsh as a study unit, the morphological image processing was applied to classify the spatial patterns of marshes at pixel level on binary marsh maps, and the morphological module and classification statistic module were used to analyze the spatiotemporal patterns of marsh landscape fragmentation in 1980-2000. The results showed that within the 20 years, the overall change tendency of the marsh area in Sanjiang Plain was first decreased rapidly, and then decreased slowly. The area of core marshes was decreased rapidly, from a dispersible spatial pattern to a gradually centralized pattern in the basins of Bielahong and Naoli rivers in northeastern Sanjiang Plain. The perforated marsh area decreased largely and disappeared gradu- ally, and transferred from the original heterogeneous landscape into homogeneous landscape. Most core and perforated marshes were transferred into patch marshes, which were situated in the northwest, central, and south parts of Sanjiang Plain, and had a trend to gradually replace the core marshes in the northeast part of the Plain. The annual growth of edge marshes was the fas- test, and the edge pixel became wider and wider. The core marshes in the west, south, and east parts of Sanjiang Plain were substituted by edge marshes, easily resulting in edge effects and intense inter-species competition.
出处 《生态学杂志》 CAS CSCD 北大核心 2008年第3期491-496,共6页 Chinese Journal of Ecology
基金 国家自然科学基金项目(40371082) 全球环境基金GEF项目(GF/2712-03) 中国科学院知识创新工程重要方向资助项目(KZCX3-SW-356)
关键词 三江平原 形态学图像处理 空间格局 湿地破碎化 膨胀腐蚀 Sanjiang Plain morphological image processing spatial pattern marsh fragmentation dilation erosion.
  • 相关文献

参考文献12

  • 1刘红玉,吕宪国,张世奎,杨青.三江平原流域湿地景观破碎化过程研究[J].应用生态学报,2005,16(2):289-295. 被引量:88
  • 2Aimo F. 1998. Principles and Methods in Landscape Ecology. London: Chapman & Hall.
  • 3Baskent EZ, Jordan GA. 1995. Characterizing spatial structure of forest landscape. Canadian Journal of Forest Research, 25 : 1830-1849.
  • 4Lee SH, Shapiro LG. 1987. Morphologic edge detection. IEEE Transactions on Robotics and Automation, 3: 142-155.
  • 5Matheron G. 1975. Random Sets and Integral Geometry. New York : Wiley.
  • 6Riitters KH, Wickham JD, O' Neill RV, et al. 2000. Global-Scale patterns of forest fragmentation. Conservation Ecology, 4: 3.
  • 7Serra J. 1982. Introduction to Mathematical Morphology. New York : Academic Press.
  • 8Soille P, Pesaresi M. 2002. Advances in mathematical morphology applied to geoscience and remote sensing. IEEE Transactions on Geoscience and Remote Sensing, 9: 40-42.
  • 9Soille P. 2003. Morphological Image Analysis: Principles and Applications (2nd ed. ). Berlin: Springer-Verlag.
  • 10Vogt P, Riitters KH, Estreguil C, et al. 2006. Mapping spatial patterns with morphological image processing. Landscape Ecology, 22: 171-177.

二级参考文献5

共引文献87

同被引文献50

  • 1赵萍,傅云飞,郑刘根,冯学智,B.Satyanarayana.基于分类回归树分析的遥感影像土地利用/覆被分类研究[J].遥感学报,2005,9(6):708-716. 被引量:133
  • 2汲玉河,吕宪国,杨青,董厚德.三江平原湿地植物物种空间分异规律的探讨[J].生态环境,2006,15(4):781-786. 被引量:11
  • 3程彬,姜琦刚,周云轩,湛邵斌.基于ASTER数据遥感影像的决策树分类[J].吉林大学学报(地球科学版),2007,37(1):179-184. 被引量:15
  • 4李慧,余明.基于决策树模型的湿地信息挖掘与结果分析[J].地球信息科学,2007,9(2):60-64. 被引量:21
  • 5Pal M, Mather PM. 2003. An assessment of the effectiveness of decision tree methods of land cover classification. Remote Sensing of Environment, 86 : 554-565.
  • 6Ramsey EWⅢ, Chappell DK, Baldwin DG. 1997. AVHRR imagery used to identify hurricane damage in a forested wetland of Louisiana. Photogrammetric Engineering and Remote Sensing, 63: 293-297.
  • 7Sesnie SE, Gessler PE, Finegan B, et al. 2008. Integrating Landsat TM and SRTM-DEM derived variables with decision trees for habitat classification and change detection in complex neotropical environments. Remote Sensing of Environment, 112: 2145-2159.
  • 8Stehman SV, Wickham JD, Smith JH, et al. 2003. Thematic accuracy of the 1992 National Land-Cover Data for the eastem United States: Statistical methodology and regional results. Remote Sensing of Environment, 86: 500-516.
  • 9Toyra J, Pietroniro A, Martz LW, et al. 2002. A muhisensor approach to wetland flood monitoring. Hydrological Processes, 16: 1569-1581.
  • 10Treitz P, Howarth P. 2000. Integrating spectral, spatial, and terrain variables for forest ecosystem classification. Photogrammetric Engineering and Remote Sensing, 66: 305- 317.

引证文献2

二级引证文献25

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部