自然资源学报

自然资源学报 ›› 2015, Vol. 30 ›› Issue (6): 1024-1034.doi: 10.11849/zrzyxb.2015.06.013

• 资源研究方法 • 上一篇    下一篇

基于光谱分析的生物结皮提取研究——以毛乌素沙地为例

冯秀绒1, 卜崇峰2,5, 郝红科3, 杨延征3, 张广军4   

  1. 1. 西北农林科技大学 理学院, 陕西杨凌712100;
    2. 西北农林科技大学 水土保持研究所, 陕西杨凌712100;
    2. 西北农林科技大学 林学院, 陕西杨凌712100;
    4. 西北农林科技大学 资源与环境学院, 陕西杨凌712100;
    5. 中国科学院、水利部水土保研究所, 陕西杨凌712100
  • 收稿日期:2014-04-14 修回日期:2014-08-24 出版日期:2015-06-20 发布日期:2015-06-20
  • 通讯作者: 卜崇峰(1977-),男,陕西榆林人,博士,硕士生导师,主要从事生物土壤结皮与水土保持工程研究工作.E-mail:buchongfeng@163.com E-mail:buchongfeng@163.com
  • 作者简介:冯秀绒(1975-),女,陕西大荔人,讲师,博士研究生,主要从事物理和环境生物学研究工作.E-mail:xiurongfeng@163.com
  • 基金资助:

    国家自然科学基金项目(41071192).

Research on Biological Soil Crust Extraction by Spectral Analysis in Mu Us Desert, China

FENG Xiu-rong1, BU Chong-feng2,5, HAO Hong-ke3, YANG Yan-zheng3, ZHANG Guang-jun4   

  1. 1. College of Science, Northwest A & F University, Yangling 712100, China;
    2. Institute of Soil and Water Conservation, Northwest A & F University, Yangling 712100, China;
    3. College of Forestry, Northwest A & F University, Yangling 712100, China;
    4. College of Environment and Resource, Northwest A & F University, Yangling 712100, China;
    5. Institute of Soil and Water Conservation, CAS & Ministry of Water Resources, Yangling 712100, China
  • Received:2014-04-14 Revised:2014-08-24 Online:2015-06-20 Published:2015-06-20

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被引次数

16

摘要：

利用典型地物高光谱数据和TM遥感影像,对毛乌素沙地处于旺盛生长期(7—9 月)的由苔藓结皮主导的生物结皮进行了提取研究.结果表明:① 苔藓结皮在生长期具有与绿色植物相似的光谱曲线变化趋势;红边参数显示,二者除红边位置非常接近外,红边振幅、红边宽度和红边面积差异均较大;在近红外区域,苔藓结皮比绿色植物的反射率低很多;苔藓结皮无明显的553 nm反射峰;低盖度苔藓结皮(33%)、藻类结皮和植被枯落物在整个波段光谱曲线比较接近,与裸沙相比,三者反射率均较低.② 基于TM影像,用生物结皮指数(BSCI)、归一化植被指数(NDVI)、监督分类和坡度分级相结合的方法提取生物结皮,发现苔藓结皮的像元面积为0.72×104 km2,占研究区总面积的6.43%.

关键词: 毛乌素沙地, 生物结皮, TM遥感影像, 光谱特征

Abstract:

Using the hyperspectral reflectance data of typical objects and TM remote sensing images, the paper extracts the moss-dominated biological soil crusts at vigorous growth stage (from July to August) in Mu Us Desert. We collected the reflectance spectra of six typical ground features including bare sand, algae crust, dry vegetation, green vegetation, the moss crusts of 33% coverage and 100% coverage. Remote sensing data include twelve Landsat TM images acquired from July to August in 2010 and 2011. The results are as follows: 1) Moss crust in vigorous growth stage has similar spectral reflectance curves with green plants. There are obvious reflection peak and“red edge”phenomenon in visible light band. However, in the red band (680-760 nm), they have differences in all“red edge”parameters including red edge amplitude, red edge width and red edge area, except red edge position. In the near- infrared shortwave bands(760-900 nm), the reflectance of moss crust is much lower than that of green plants. Their average reflectance is 0.198 and 0.424 respectively. Moss crust has no reflection peak at the wavelength of 550 nm, but at the wavelength of 625 nm. The moss crust of 33% coverage, algae crust and dry vegetation have similar spectral curves between the wavelength of 400 nm and 900 nm. Their spectral reflectance is lower than that of bare sand which is 48%. 2) Based on the Landsat TM images, the method extracts biological crust by combing biological soil crust index (BSCI), normalized difference vegetation index (NDVI), supervised classification and slope classification. 3) The pixel area of moss crusts is 7200 km2, which takes 6.43% of the total study area.

Key words: Mu Us Desert, extraction, biological soil crust, spectral characteristic, TM remote sensing image

中图分类号: 

  • S127