• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>农业科学与技术（英文版） >运用无人机技术研究贵州省城乡结合部植被覆盖度现状——以贵州省农业科学院为例
【24h】

运用无人机技术研究贵州省城乡结合部植被覆盖度现状——以贵州省农业科学院为例

机译：运用无人机技术研究贵州省城乡结合部植被覆盖度现状——以贵州省农业科学院为例Research on Vegetation Coverage Status of Urban-rural Fringe in Guizhou Using Unmanned Aerial Vehicle

获取原文
获取原文并翻译 | 示例
       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

运用无人机技术调查了典型城乡结合部的植被覆盖度,采用描述性统计和地统计学方法分析了城乡结合部植被覆盖度的空间异质性,结果表明:研究区的植被覆盖度为27.2176％,变异系数为31.7786％;在滞后距<0.18′时,植被覆盖度呈空间正相关性,且植被覆盖度的空间相关性在滞后距<0.18′时大于在滞后距>0.18′时的;半方差函数拟合模型中指数模型拟合的最好,空间变异比为0.726,属于强的空间自相关性,空间相关尺度0.18′;研究区内的植被盖度数据较为稳定,其不稳定主要发生在研究区与外界的交界处.%Unmanned aerial vehicle technology was used to survey the vegetation coverage of typical urban-rural fringe, and descriptive statistics and geostatistical methods were used to analyze the urban-rural fringe of spatial heterogeneity of vegetation coverage. The results showed that vegetation coverage in the study area was 27.2176％ with the coefficient of variation of 31.7786％; that the vegetation coverage in separation distance of <0.18' showed positive spatial correlation, and the spatial correlation of vegetation coverage in separation distance of <0.18' was greater than that in >0.18'; that the best fitting model for Semivariance function was exponential model with spatial variation ratio 0.726, which showed strong spatial correlation, and the spatial correlated scale was 0.18'; that the vegetation coverage data in the study area was relatively stable, and the instability mainly occurred on the border of the study area and the surroundings.
机译：运用无人机技术调查了典型城乡结合部的植被覆盖度,采用描述性统计和地统计学方法分析了城乡结合部植被覆盖度的空间异质性,结果表明:研究区的植被覆盖度为27.2176％,变异系数为31.7786％;在滞后距<0.18′时,植被覆盖度呈空间正相关性,且植被覆盖度的空间相关性在滞后距<0.18′时大于在滞后距>0.18′时的;半方差函数拟合模型中指数模型拟合的最好,空间变异比为0.726,属于强的空间自相关性,空间相关尺度0.18′;研究区内的植被盖度数据较为稳定,其不稳定主要发生在研究区与外界的交界处.%Unmanned aerial vehicle technology was used to survey the vegetation coverage of typical urban-rural fringe, and descriptive statistics and geostatistical methods were used to analyze the urban-rural fringe of spatial heterogeneity of vegetation coverage. The results showed that vegetation coverage in the study area was 27.2176％ with the coefficient of variation of 31.7786％; that the vegetation coverage in separation distance of <0.18' showed positive spatial correlation, and the spatial correlation of vegetation coverage in separation distance of <0.18' was greater than that in >0.18'; that the best fitting model for Semivariance function was exponential model with spatial variation ratio 0.726, which showed strong spatial correlation, and the spatial correlated scale was 0.18'; that the vegetation coverage data in the study area was relatively stable, and the instability mainly occurred on the border of the study area and the surroundings.

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