基于遥感的赛罕乌拉森林斑块特征与动态分析
DOI:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

S7

基金项目:

国家自然科学基金项目(面上项目,重点项目,重大项目)


Characteristics and dynamic analysis of forest patches in Saihanwula based on remote sensing
Author:
Affiliation:

Fund Project:

The National Basic Research Program of China (973 Program)

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    摘要:借助RS(remote sensing)和GIS(geographic information system)的技术手段,分析赛罕乌拉10年间森林斑块在高程、坡度、坡向三方面的时空分布情况。得出如下结论:(1)赛罕乌拉森林总面积和森林斑块数量面积受病虫害以及所处位置干扰的影响,在不同地形条件下均有减少,其中森林斑块减少尤为突出。(2)赛罕乌拉森林斑块多分布在阳坡,面积的大幅度变化也主要体现在阳坡,其中大斑块在任何坡向下均减少。(3)坡度与森林斑块呈负相关状态,随着坡度的增加,森林斑块减少,中小型斑块的变化都与上一等级的斑块变动有关。(4)森林斑块近一半分布在4、5级高程上,并随着高程呈现出先增加后减少的特征,其中中小型斑块在5级高程上下表显出了不同的特点。

    Abstract:

    Abstract:By means of RS and GIS, the spatial and temporal distribution of forest patches in elevation, slope and slope direction was analyzed.The conclusions are as follows :(1) The total area of Saihanwula forest and the area of forest patches are affected by diseases, insect pests and location interference, and are reduced under different topographic conditions, especially in forest patches.(2) The patches of Saihanwula forest are mostly distributed in the sunny slope, and the large change of area is mainly reflected in the sunny slope, in which the large patches are reduced in any slope direction downward. (3) The slope has a negative correlation with the forest patches. With the increase of slope, the forest patches decrease. The changes of small and medium-sized patches are all related to the changes of patches in the previous level. (4) Nearly half of the forest patches were distributed on the 4th and 5th elevations,and they increase first and then decrease with the elevation. The small and medium-sized patches show different characteristics above and below the 5th elevations.

    参考文献
    相似文献
    引证文献
引用本文

金红艳,孙紫英,周梅,等. 基于遥感的赛罕乌拉森林斑块特征与动态分析[J]. 科学技术与工程, 2020, 20(35): 14455-14462.
jinhongyan. Characteristics and dynamic analysis of forest patches in Saihanwula based on remote sensing[J]. Science Technology and Engineering,2020,20(35):14455-14462.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2019-12-23
  • 最后修改日期:2020-08-30
  • 录用日期:2020-05-27
  • 在线发布日期: 2021-01-06
  • 出版日期:
×
律回春渐,新元肇启|《科学技术与工程》编辑部恭祝新岁!
亟待确认版面费归属稿件,敬请作者关注