首页> 外文会议>IFIP WG 5.14 International conference on computer and computing technologies in agriculture >Study on Landscape Sensitivity and Diversity Analysis in Yucheng City
【24h】

Study on Landscape Sensitivity and Diversity Analysis in Yucheng City

机译:于城市景观敏感性及多样性分析研究

获取原文

摘要

Landsat ETM image located in Yucheng city in 2002 was interpreted by RS image extraction technology and classification method. Moreover, landscape ecology theories were applied as well as ArcGIS and Fragstats4 to choose the reasonable landscape indices including Contagion Index (CON-TAG), Patch Density (PD), Landscape Shape Index (LSI), Perimeter Area Fractal Dimension (PAFRAC), Shannon's Diversity Index (SHDI), Shannon's Evenness Index (SHEI). The study results showed that correlation between the landscape index was significant at the 0.01 confidence level, the relationship rule was revealed between ecological index based on statistics model. The typical scale effect was selected, including 5 m, 10 m, 15 m, 20 m, 25 m, 30 m, 40 m, 50 m, 60 m, 70 m, 80 m, 90 m, 100 m, 110 m, 120 m, 150 m, 180 m and 210 m. The series results were clarified by PD, LSI, PAFRAC, CONTAG, SHDI and SHEI in response to the different scales, or 18 different scales. The detailed results showed that the decreasing trend was presented from 5 m scale to 210 m scale for each index. Furthermore, we also analyzed the scale effects for different landscape index. Finally, based on image by the change of LSI, PAFRAC, SHAPE-MN and AI on 30 m pixel scale, we emphatically analyzed the LSI, PAFRAC, SHAPE-MN, AI of 12 landscapes. Further, according to the new classification, for the 12 landscapes in Yucheng city, they are Arable-land, Grassland, Traffic and Transmission Land Use, Residential land, Public management and service land, Commercial service land, Garden plot land, Mine and storage land, Woodland, Water and water facility land, Special land and other land we explored and explained the ecological significance of different landscapes in the case city, Especially, landscape sensitivity, fragmentation and complexity of landscape spatial pattern and diversity.
机译:利用RS图像提取技术和分类方法对2002年位于雨城市的Landsat ETM图像进行了解释。此外,还应用了景观生态学理论以及ArcGIS和Fragstats4来选择合理的景观指数,包括传染指数(CON-TAG),斑块密度(PD),景观形状指数(LSI),周长分形维数(PAFRAC),香农氏多样性指数(SHDI),香农均匀度指数(SHEI)。研究结果表明,景观指数之间的相关性在0.01的置信水平上是显着的,基于统计模型揭示了生态指数之间的关系规律。选择了典型的尺度效应,包括5 m,10 m,15 m,20 m,25 m,30 m,40 m,50 m,60 m,70 m,80 m,90 m,100 m,110 m, 120 m,150 m,180 m和210 m。 PD,LSI,PAFRAC,CONTAG,SHDI和SHEI分别针对不同的比例或18个不同的比例澄清了系列结果。详细的结果表明,每种指标的下降趋势都从5 m尺度下降到210 m尺度。此外,我们还分析了不同景观指数的尺度效应。最后,基于30m像素尺度下LSI,PAFRAC,SHAPE-MN和AI的变化图像,着重分析了12种景观的LSI,PAFRAC,SHAPE-MN,AI。此外,根据新的分类,对于禹城市的12个景观,分别为耕地,草地,交通和运输用地,居住用地,公共管理和服务用地,商业服务用地,花园地块,矿山和仓库土地,林地,水和水利设施用地,特殊用地和其他土地,我们探索并解释了该案例城市中不同景观的生态意义,尤其是景观敏感性,景观空间格局和多样性的分散性和复杂性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号