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中国沙漠 ›› 2016, Vol. 36 ›› Issue (5): 1340-1347.DOI: 10.7522/j.issn.1000-694X.2016.00107

• 生物与土壤 • 上一篇    下一篇

新疆焉耆盆地LAI反演及空间分布特征

阿迪来·乌甫, 玉素甫江·如素力, 热伊莱·卡得尔, 姜红, 艾力亚·艾尼瓦尔   

  1. 新疆师范大学 地理科学与旅游学院/干旱区湖泊环境与资源重点实验室, 新疆 乌鲁木齐 830054
  • 收稿日期:2016-05-17 修回日期:2016-07-25 出版日期:2016-09-20 发布日期:2016-09-20
  • 通讯作者: 玉素甫江·如素力(E-mail:Yusupjan@xjnu.edu.cn)
  • 作者简介:阿迪来·乌甫(1992-),女,新疆库车人,硕士研究生,主要从事资源环境遥感。E-mail:Adilagupur@126.com
  • 基金资助:
    新疆维吾尔自治区青-科技创新人才培养工程项目(QN2015YX009);新疆师范大学博士启动基金项目(XJNUBS1528);国家自然科学基金项目(41161007,41461006,41361002);新疆维吾尔自治区重点实验室专项资金项目(2014KL016)

Retrieval and Spatial Distribution of LAI in the Yanqi Basin, Xinjiang, China

Adilai Wufu, Yusufujiang Rusuli, Reyilai Kadeer, Jiang Hong, Ailiya Ainiwaer   

  1. Key Laboratory of Lake Environment and Resources in Arid Zone, School of Geographical Science and Tourism, Xinjiang Normal University, Urumqi 830054, China
  • Received:2016-05-17 Revised:2016-07-25 Online:2016-09-20 Published:2016-09-20

摘要: 叶面积指数(LAI)是生态系统物质和能量循环过程的重要结构参数。研究植被LAI对监测估算生态环境极其脆弱的内陆干旱区具有理论和实践价值。使用LAI-2000植物冠层分析仪观测焉耆盆地植被LAI,并结合Landsat OLI的NDVI、SAVI、NDMI、NBR、NBR2、MSAVIEVI等植被指数数据建立了LAI的反演模型,探求焉耆盆地LAI的空间分布特征及规律。结果表明:(1)各植被指数与观测的LAI均有明显的相关性。其中,SAVILAI的对数函数模型更好地模拟出研究区的LAIR2=0.84);通过LAI-SAVI模型反演研究区LAI的空间分布,估算精度可达89%(R2=0.82,RMSE=0.23);(2)博斯腾湖小湖湿地、博斯腾湖大湖西北端的黄水沟入湖沼泽区以及焉耆盆地北部冲洪积扇平原绿洲区的LAI值较高,达3.85;焉耆盆地山区和平原区之间的过渡带和博斯腾湖南部的沙漠区LAI较低;(3)焉耆盆地LAI以博斯腾湖为中心环状分布,LAI随着研究区域与湖、河流距离的增加而逐渐降低的趋势。

关键词: 植被指数, LAI反演, Landsat OLI影像, 焉耆盆地

Abstract: Leaf area index (LAI) is a primary parameter for the energy flows and matter cycles in ecosystems. Since the ecological system in the arid area is extremely fragile, studying the LAI has great theoretical and practical contributions to monitoring and estimating the changes of ecological environment in arid lands. In this paper, we use the Vegetation Indexes (including NDVI, SAVI, NDMI, NBR, NBR2, MSAVI and EVI)-LAI method to estimate the spatial distribution characteristics of LAI value in the Yanqi Basin, Xinjiang, China. The modeling data is comprised of LAI and Vegetation Indexes,which were acquired by field measurements by LAI-2000 and indoor processing work of Landsat OLI remotely sensed image respectively. Then the LAI distribution map was acquired by using validated SAVI-LAI model. The spatial distribution characteristics of LAI in the study area were analyzed. The results show that:(1) All vegetation indices have good relevance with LAI, and among them the logarithmic function model of SAVI and LAI has the highest goodness of fit (R2=0.82). The estimation accuracy of LAI is about 89%, R2=0.86,RMSE=0.23; (2) There are three relatively high value areas in the distribution map of LAI,Bosten Lake Wetland area, the reeds area in the Huangshuigou River in northwest part of Bosten Lake and Oasis area in northern part of Yanqi Basin, and the highest LAI value reaches about 3.85. The LAI has the lower values in the transitional zone between the mountains and the plain area, and the desert area in the south, due to relative low water content for vegetation; (3) The characteristics of the LAI's spatial distribution are:an annular distribution of LAI centered the Bosten lake as a center; The LAI values decreased gradually along with the increase of the distance to the Lake and river.

Key words: vegetation index, retrieval of LAI, Landsat OLI, Yanqi Basin

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