...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Natural areas journal >Vegetation Cover Change Detection by Satellite Imagery on Cadillac Mountain, Acadia National Park, Maine, USA: Does it Have Potential for Hiking Trail Management?
【24h】

Vegetation Cover Change Detection by Satellite Imagery on Cadillac Mountain, Acadia National Park, Maine, USA: Does it Have Potential for Hiking Trail Management?

机译：通过卫星图像在美国缅因州阿卡迪亚国家公园的卡迪拉克山上进行植被覆盖变化检测：它是否具有远足径管理的潜力？

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

The primary objective of this study was to detect fractional vegetation cover changes associated with off-trail hiking or trampling using three vegetation indices (NDVI, SAVI and TVI) on Cadillac Mountain, Acadia National Park, Maine, USA. The study area was divided into two different zones on the basis of proximity to the trail network (Zone 1: within 100 m from the trail network, and Zone 2: 100 m to 400 m from the trail network), with the expectation of much higher impact and lower recovery in closer proximity to the trail network. Spatial interactions between the trail network and the decreased vegetation areas were tested using Cross K-functions to assess whether or not the existing trail network attracted more vegetation impact in a spatial context. The results showed no statistically significant differences between the two zones in terms of the amounts of recovery and impact (all p values ＞0.05), indicating that the magnitudes of impact and recovery were similar regardless of the proximity to the trail. Nonetheless, the applied methods based on zoning and spatial interaction analyses were useful for identifying spatially explicit patterns of vegetation impact related to the hiking trail network.
机译：这项研究的主要目的是使用美国缅因州阿卡迪亚国家公园的凯迪拉克山上的三个植被指数（NDVI，SAVI和TVI）检测与越野徒步或践踏有关的植被覆盖率变化。根据对步道网络的接近程度，将研究区域划分为两个不同的区域（第1区：距离步道网络100 m以内；第2区：距离步道网络100 m至400 m），期望值很高。在靠近跟踪网络的地方产生更大的影响并降低回收率。使用Cross K函数测试了足迹网络和减少的植被面积之间的空间相互作用，以评估现有的足迹网络在空间环境中是否吸引了更多的植被影响。结果表明，在两个区域之间，恢复和影响的数量没有统计学上的显着差异（所有p值均大于0.05），表明无论靠近小径，影响和恢复的大小都是相似的。但是，基于分区和空间相互作用分析的应用方法对于识别与远足径网络有关的植被影响的空间明确模式很有用。

著录项

相似文献

  • 外文文献
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