东北大学学报(自然科学版) ›› 2012, Vol. 33 ›› Issue (7): 1025-1029.DOI: -

• 论著 • 上一篇    下一篇

秦皇岛景观格局演化信息图谱分析

冷文芳;刘志国;肖笃宁;王恩德;   

  1. 东北大学资源与土木工程学院;秦皇岛职业技术学院;中国科学院沈阳应用生态研究所;
  • 收稿日期:2013-06-19 修回日期:2013-06-19 发布日期:2013-04-04
  • 通讯作者: -
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(40830746)

Analysis on geo-info-spectrum of landscape pattern evolvement of Qinhuangdao city

Leng, Wen-Fang (1); Liu, Zhi-Guo (2); Xiao, Du-Ning (3); Wang, En-De (1)   

  1. (1) School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, China; (2) Qinhuangdao Institute of Technology, Qinhuangdao 066100, China; (3) Shenyang Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110015, China
  • Received:2013-06-19 Revised:2013-06-19 Published:2013-04-04
  • Contact: Leng, W.-F.
  • About author:-
  • Supported by:
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摘要: 基于RS和GIS技术,分析了20世纪90年代至今的秦皇岛市景观格局图谱的时空变化规律.利用1993,2000和2008年的TM影像时间系列的遥感数据,解译出三个时期的土地利用信息,选取了斑块数量比、平均斑块面积、平均斑块周长、周长面积比、分维数和聚集度指数来分析三个时期秦皇岛市景观空间格局.利用转移矩阵分析近15年来秦皇岛市的景观类型转化规律.结果表明,自然半自然景观类型,如林地、草地和水域的面积一直在减少;农田的总面积虽然减少,但旱地的面积在增加,主要是水田转化为旱地造成的;建设用地增幅较大,说明人类活动中的城市扩张和道路建设是景观格局变化的主要驱动因子.

关键词: 秦皇岛, 景观格局, 信息图谱, 转移矩阵, 景观指数

Abstract: The temporal and spatial change of landscape pattern in Qinhuangdao city since the early 1990s was analyzed based on RS and GIS survey. The land use information was acquired by interpreting the TM image data of 1993, 2000 and 2008, and 6 landscape indices (the proportion of all patches (PP), average patch area (APA), average patch perimeter (APP), average perimeter-area ration (APAR), fractal dimension (FD) and aggregation index (AI)) were adopted to characterize the spatial pattern of landscape during these three periods. The transition matrix was used to analyze the varying characteristics of all landscape types. The result showed that, natural and semi-natural landscape types, such as forest, grass and water body, decreased, so did agriculture land, however, the dry-land increased because of the decreasing irrigated land. The increased land for construction because of the human's activities, such as construction of cities and roads, is shown to be the main driving force for the changing landscape pattern.

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