首页|基于LiDAR数据的额济纳绿洲胡杨(Populus euphratica)河岸林植被覆盖分类与植被结构参数提取

基于LiDAR数据的额济纳绿洲胡杨(Populus euphratica)河岸林植被覆盖分类与植被结构参数提取

扫码查看
原文链接
  • NETL
  • NSTL
  • 万方数据
  • 维普
黑河下游额济纳旗气候极端干旱,生态环境十分脆弱,该区域胡杨(Populus euphratica)河岸林植被覆盖分类与植被结构参数提取是生态环境评价、植被变化分析、区域生态水文过程研究的基础.利用机载LiDAR数据,综合多种处理方法,进行植被覆盖分类与植被结构参数提取,分析了胡杨河岸林的分布和生长状况.结果表明,植被覆盖分类总体精度和Kappa系数分别为95.86%和0.91,整体分类精度高,能够有效区分额济纳绿洲中胡杨、柽柳、建筑物等,对胡杨树高、冠幅、胸径和叶面积指数等植被结构参数提取精度总体较高,能够为多尺度生态耗水研究等提供有效参数.
Vegetation Coverage Classification and Vegetation Structure Parameters Extraction of Populus euphratica Forest in Ejina Oasis by LiDAR Data
The climate is extremely arid, and the ecological environment is fragile in Ejina Oasis in lower reaches of the Heihe River.The vegetation cover and vegetation structure parameters of Populus euphratica forest are the basis of ecological environment assessment, vegetation change analysis and regional ecological and hydrological processes research in the region.In this study, vegetation coverage was classified, and vegetation structure parameters were extracted by the airborne LiDAR data, and the distribution and growth of P.euphratica riparian forest was analyzed.The P.euphratica, Tamarix and buildings were effectively discriminated in Ejina Oasis and the overall accuracy and Kappa coefficient of vegetation coverage classification were 95.86% and 0.91, respectively.The structure parameters of P.euphratica forest vegetation (tree height, crown diameter, DBH and leaf area index) were extracted at high accuracy level, which provided effective parameters for multi-scale ecological water consumption research.

LiDARPopulus euphraticavegetation coveragevegetation structure parameters

苏阳、祁元、王建华、徐菲楠、张金龙

展开 >

中国科学院西北生态环境资源研究院 甘肃省遥感重点实验室 甘肃 兰州 730000

中国科学院大学,北京 100049

LiDAR 胡杨(Populuseuphratica) 植被覆盖 植被结构参数

中国科学院西部行动计划三期项目国家自然科学基金重大研究计划重点项目群国家自然科学基金重大研究计划重点项目群国家自然科学基金重大研究计划重点项目群国家自然科学基金重大研究计划重点项目群

KZCX2-XB3-159125001912500291250039125004

2017

10.7522/j.issn.1000-694X.2017.00028

中国沙漠
中国科学院寒区旱区环境与工程研究所

中国沙漠

CSTPCDCSCD北大核心
影响因子：1.504
ISSN：1000-694X
年,卷(期)：2017.37(4)
  • 6
  • 28