土地利用

差分主成分分析法在辽河三角洲景观变化中的应用

展开
  • 日本国立环境研究所,筑波 305-8506
杨翠芬(1965-),女,博士。主要从事GIS、遥感和污染生态学、环境地学等方面研究。 E-mail:yang.cuifen@aist.go.jp;Tel:+81-29-861-8190

收稿日期: 2003-11-17

  修回日期: 2004-03-18

  网络出版日期: 2004-07-25

基金资助

日本学术振兴会外国人特别研究员资金资助

The New Method for Detecting Change of the Landscape: The Differencing Image PCA Method and Its Application in the Liaohe River Delta

Expand
  • National Institute for Environmental Studies, Tsukuba 305-8506, Japan

Received date: 2003-11-17

  Revised date: 2004-03-18

  Online published: 2004-07-25

Supported by

apan Society for the Promotion of Science, Postdoctoral Fellowships for Foreign Researchers

摘要

差分主成分分析法是应用遥感数据检测景观变化的一种新方法。为了提高检测精度,我们利用TM卫星遥感数据,改进了主成分分析法和图像差值法,提出了差分主成分分析法。并以辽河三角洲地区为例,对该方法进行了验证。研究结果表明:(1) 与传统的检测法—分类后比较法相比,差分主成分分析法具有较高的检测精度,总检测精度为0.89,Kappa指数为0.82;(2) 在1984~2000年的16年间,辽河三角洲地区有近22%的景观发生了变化,主要包括芦苇湿地的减少、水稻田的增加以及城镇用地的增加。

本文引用格式

杨翠芬,田村正行 . 差分主成分分析法在辽河三角洲景观变化中的应用[J]. 地理学报, 2004 , 59(4) : 592 -598 . DOI: 10.11821/xb200404013

Abstract

This paper describes a method of the detection for the landscape change by satellite remotely sensed data. In order to improve the accuracy of detection for the landscape change, we presented the differencing image PCA method to improve the Principal Component Analysis (PCA) and the band difference of images method using the multi-temporal remotely sensed data of TM (Thematic Mapper). And the Liaohe River Delta of China was selected as a case to validate this method. The results showed that the differencing image PCA method has higher detection accuracy compared with the conventional method--post-classification change detection and the overall accuracy of the change detection reaches 0.89 and the Kappa coefficient is 0.82. The research result also showed that the landscape changed about 22% in the Liaohe River Delta area during 1984-2000. The main change is the reduction of the reed area, the increase of the paddy field and the city area.

参考文献


[1] MAS J F. Monitoring land-cover changes: a comparison of change detection techniques. International Journal of Remote Sensing, 1999, 20(1): 139-152.

[2] Bryant C R, LeDrew E F, Marois C. In Remote Sensing and Methodologies of Land Use Change Analysis. Waterloo: University of Waterloo, 1989. 101-116.

[3] Weismiller R A, Kristof S J, Scholz D K. Change detection in coastal zone environments. Photogrammetric Engineering and Remote Sensing, 1977, 43: 1533-1539.

[4] Howarth P J, Wickware G M. Procedures for change detection using landsat digital data. International Journal of Remote Sensing, 1981, 2: 277-291.

[5] Nelson R F. Detecting forest canopy change due to insect activity using Landsat MSS. Photogrammetric Engineering and Remote Sensing, 1983, 48: 1303-1314.

[6] Byrn G F, Crapper P F, Mayo K K. Monitoring land-cover changes by principal component analysis of multitemporal Landsat data. Remote Sensing of Environment, 1980, 10: 175-184.

[7] Eastman J R, Fulk M. Long sequence time series evaluation using standardized principle component. Photogrammetric Engineering and Remote Sensing, 1993, 59: 991-996.

[8] Lodwik G D. Measuring ecological changes in multitemporal Landsat data using principal component. Proceedings of the 13th International Symposium on Remote Sensing of Environment held in Ann Arbor in 1979. 1-11.

[9] Richards J A. Thematic mapping from multitemporal image data using the principal components transformation. Remote Sensing of Environment, 1984, 16: 35-46.

[10] Ingebritsen S E. Principal component analysis of multitemporal image pairs. International Journal of Remote Sensing, 1985, 6(5): 687-696.

[11] Malila W A. Change vector analysis: an approach for detecting forest change with Landsat. Proceedings of machine processing of remote sensed data symposium. Purdue University, West Lafayette, Indiana, 1980.

[12] Li X, Yeh A G O. Principal component analysis of stacked multi-temporal images for the monitoring of rapid urban expansion in the Pearl River Delta. International Journal of Remote Sensing, 1998, 19(8): 1501-1508.

[13] Pilon P G, Howarth P J, Bullock R A. An enhanced classification approach to change detection in semi-arid environments. Photogrammetric Engineering and Remote Sensing, 1988, 54: 1709-1716.

[14] Thome K, Markham B, Barker J. Radiometric calibration of Landsat. Photogrammetric Engineering and Remote Sensing, 1997, 63: 853-858.

[15] Zhao W J, Tamura M, Takahashi H. Atmospheric and spectral corrections for estimating surface albedo from satellite data using 6S code. Remote Sensing of Environment, 2000,76: 202-212.

[16] Christopher D E, Ding Y, Ridgeway D W. Relative radiometric normalization of landsat multispectral scanner (MSS) data using an automatic scattergram controlled regression. Photogrammetric Engineering and Remote Sensing, 1995, 61: 1255-1266.

[17] Fung T, LeDrew E. Application of principal components analysis to change detection. Photogrammetric Engineering and Remote Sensing, 1987, 53(12): 1649-1658.

[18] Shi Peijun, Gong Peng, Li Xiaobing. Method and practice of land use/cover research. Beijing: Science Press, 2000. 1-30.
[史陪军, 宫鹏, 李晓兵 等. 土地利用/覆盖变化研究的方法与实践. 北京: 科学出版社, 2000. 1-30.]

[19] Wang Xianli, Hu Yuanman, Burencang. Analysis of wetland landscape changes in Liaohe Delta. In: Xiao Duning (ed.), Progress of Research of Landscape Ecology. Changsha: Hunan Science and Technology Press, 1999. 251-255.
[王宪礼, 胡远满, 布仁仓. 辽河三角洲湿地的景观变化分析. 见: 肖笃宁 主编, 景观生态学研究进展. 长沙: 湖南科学技术出版社, 1999. 251-255.]

[20] Xiao Duning. Natural resources and regional development of Liaohe Delta. In: Xiao Duning (ed.), Progress of Research of Landscape Ecology. Changsha: Hunan Science and Technology Press, 1999. 232-237.
[肖笃宁. 辽河三角洲的自然资源与区域开发. 见: 肖笃宁 主编, 景观生态学研究进展. 长沙: 湖南科学技术出版社, 1999. 232-237.]

[21] Wang Xianli, Xiao Duning, Burencang. Analysis of landscape patterns of Liaohe Delta wetland. In: Xiao Duning (ed.), Progress of Research of Landscape Ecology. Changsha: Hunan Science and Technology Press, 1999. 238-244.
[王宪礼, 肖笃宁, 布仁仓.辽河三角洲湿地的景观格局分析. 见: 肖笃宁 主编, 景观生态学研究进展. 长沙: 湖南科学技术出版社, 1999. 238-244.]

[22] Zhu Huiyi, Li Xiubin, He Shujin et al. Spatio-temporal change of land use in Bohai Rim. Acta Geographica Sinica, 2001, 56(3): 253-260.
[朱会义, 李秀彬, 何书金 等. 环渤海地区土地利用的时空变化分析. 地理学报, 2001, 56(3): 253-260.]

文章导航

/