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应用生态学报 ›› 2018, Vol. 29 ›› Issue (10): 3183-3190.doi: 10.13287/j.1001-9332.201810.012

• 研究论文 • 上一篇    下一篇

利用鱼眼摄像机测量植被叶面积指数动态变化

牛小桃1,2, 樊军1,3*, 王胜1,2, 王秋铭3   

  1. 1中国科学院水利部水土保持研究所, 黄土高原土壤侵蚀与旱地农业国家重点实验室, 陕西杨凌 712100;
    2中国科学院大学, 北京 100049;
    3西北农林科技大学资源环境学院, 陕西杨凌 712100
  • 收稿日期:2018-01-29 出版日期:2018-10-20 发布日期:2018-10-20
  • 通讯作者: E-mail: fanjun@ms.iswc.ac.cn
  • 作者简介:牛小桃,女,1993年生,硕士研究生.主要从事环境土壤物理研究. E-mail: niuxiaotao16@mails.ucas.ac.cn
  • 基金资助:
    本文由中国科学院西部青年学者A类项目(XAB2015A03)和国家自然科学基金项目(41571224)资助

Measuring the dynamics of leaf area index of vegetation using fisheye camera

NIU Xiao-tao1,2, FAN Jun1,3*, WANG Sheng1,2, WANG Qiu-ming3   

  1. 1State Key Laboratory of Soil Erosion and Dry land Farming on the Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of Sciences, Yangling 712100, Shaanxi, China;
    2University of Chinese Academy of Sciences, Beijing 100049, China;
    3College of Natural Resources and Environment, Northwest A&F University, Yangling 712100, Shaanxi, China
  • Received:2018-01-29 Online:2018-10-20 Published:2018-10-20
  • Supported by:
    This work was supported by the Western Young Scholars Project (Class A) of Chinese Academy of Sciences (XAB2015A03) and the National Natural Science Foundation of China (41571224).

摘要: 叶面积指数(LAI)的快速准确测量可以为相关生态过程研究提供关键参数.本研究采用光学鱼眼相机拍摄了黄土高原北部典型植被柠条、沙柳、紫花苜蓿、荒草、大豆和玉米不同生长时期冠层照片,在玉米、大豆和柠条样地固定安装鱼眼摄像机定时拍摄冠层照片,并运用图像处理软件分析获取LAI.结果表明: 鱼眼相机法(DHP)获取的多种植被类型的LAI与LAI-2200测量结果存在显著线性相关关系(R2=0.85,P<0.05),均方根误差为0.256.太阳辐射值直接影响专业软件处理照片时的关键参数,镜头朝下情况下,计算LAI的关键参数——绿色指数随着拍摄照片时太阳辐射强度的增加而增加.但是镜头朝上情况下,亮度参数随着太阳辐射值的增加而减少.通过关键参数的调整,玉米、大豆和柠条样地LAI变化与LAI-2200测量结果一致,很好地反映了这些植物生长期的LAI动态变化,柠条样地镜头朝下测量结果更好.鱼眼摄像机可以用于定位监测LAI动态变化.

Abstract: The rapid and accurate measurement of LAI is of great importance for the research of ecological processes. Photos from typical land use types in the northern Loess Plateau, including Caragana, Salix, alfalfa, wild grass, soybean and maize, were measured by digital hemispherical photography (DHP). Meanwhile, photos were daily taken by video camera with fisheye lens and the pictures were analyzed by image processing software to obtain the dynamics of LAI in soybean, maize and Caragana fields. The results showed that a linear correlation existed between the LAI measured by DHP and LAI-2200. The coefficient of determination (R2) was 0.85 (P<0.05) and root mean square error (RMSE) was 0.256. The key parameters of professional software were affected by the local solar radiation. When the downward lens was used, the green index was the key parameter which increased with the increase of solar radiation. However, the brightness index decreased with the increase of solar radiation when the lens was upward. Through the adjustment of the key parameters, the results of LAI of maize, soybean, and Caragana were consistent with the LAI-2200 results, well reflecting LAI dynamics during the plant growth. The downward lens in Caragana field was better. The fisheye camera could be used for monitoring the dynamic LAI of different vegetations.