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林业资源管理 ›› 2015›› Issue (1): 112-117.doi: 10.13466/j.cnki.lyzygl.2015.01.020

• 科学研究 • 上一篇    下一篇

艾比湖流域典型荒漠植被光谱特征分析

李继业1,2, 杨芳2,3, 姚国慧2,3, 田峰1,2, 黄新利2, 李虎2, 陈冬花2   

  1. 1.新疆大学 资源与环境学院,乌鲁木齐 830046;
    2.新疆卫星应用工程中心,乌鲁木齐83000;
    3.新疆农业大学 林业研究所,乌鲁木齐830052
  • 出版日期:2015-02-28 发布日期:2020-12-01
  • 通讯作者: 黄新利(1964-),男,陕西汉中人,高工,硕导,研究方向为资源环境监测。
  • 作者简介:李继业(1987-),男,河南商丘人,在读硕士,主要从事资源环境监测研究。Email:1442207018@qq.com
  • 基金资助:
    高分辨率对地观测系统重大专项(95-Y40B02-9001-13/15);新疆自然科学基金(2013211B45);全球环境基金(P110661);高等教育振兴计划人才项目

Analysis on Spectrum Characteristics of Typical Desert Vegetation in Ebinur Lake Basin

LI Jiye1, 2, YANG Fang2, 3, YAO Guohui2, 3, TIAN Feng1, 2, HUANG Xinli2, LI Hu2, CHEN Donghua2   

  1. 1.College of Resources and Environmental Science Xinjiang University,Urumqi 830046,China;
    2.Xinjiang Satellite Application Engineering Center,Urumqi 830000,China;
    3.Xinjiang Agricultural University,Urumqi 830052,China
  • Online:2015-02-28 Published:2020-12-01

摘要: 艾比湖流域是有代表性的荒漠区,不仅是中亚植物区系和蒙古植物区系的交错区域,而且是指征准噶尔盆地荒漠环境变化的关键地区。研究选取该流域为试验区,采用AvaField-3便携式高光谱地物波谱仪分别对柽柳、白刺、锦鸡儿、梭梭等典型荒漠植被反射光谱测定。对测定结果进行原始光谱分析、一阶导数红边分析,包络线去除分析,发现荒漠植物红边位置靠近长波方向趋势明显并且在800~1 000nm反射率低于一般植被;另外荒漠植物反射率大小在490~510nm,540~560nm,670~690nm,680~750nm,1 100~1 140nm差别显著,可作为识别各种荒漠植物特征波段。

关键词: 荒漠植被, 反射光谱, 一阶导数分析, 包络线去除分析

Abstract: The Ebinur Lake Basin is representative of the desert areas,which is not only the cross area of the central Asian flora and mongolia flora,but also is the key area indicating desert environment change of the Junggar Basin.Selecting Ebinur Lake Basin as the study area,we measured reflectance spectra of tamarix ramosissima and nitraria,caragana,haloxylon and other typical desert vegetation by the AvaField-3 portable hyperspectral spectral instrument.Through analyzing the reflectance spectra by original spectra analysis,first-order derivative analysis on red edge and envelope remove analysis,we found red edge of desert plants position is close to the long wave direction and reflectance of desert vegetation is lower.In addition,because of the significant differences,the bands of 490~510nm,540~560nm,670~690nm,680~750nm,1100~1140nm can be regarded a as the bands for identification of various desert plants.

Key words: desert vegetation, reflection spectra, first-order derivative analysis, envelope remove analysis

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