img

官方微信

高级检索

中国沙漠 ›› 2015, Vol. 35 ›› Issue (2): 508-513.DOI: 10.7522/j.issn.1000-694X.2014.00173

• 生态与经济 • 上一篇    下一篇

艾比湖流域NDVI垂直梯度变化特征

邓煜霖1,2, 塔西甫拉提·特依拜2, 姜红涛3, 张飞1,2, 买买提·沙吾提1,2, 努尔麦麦提江·吾布力卡斯穆1,2   

  1. 1. 新疆大学 资源与环境科学学院, 新疆 乌鲁木齐 830046;
    2. 新疆大学 绿洲生态教育部重点实验室, 新疆 乌鲁木齐 830046;
    3. 新疆大学 新疆智慧城市与环境建模普通高校重点实验室, 新疆 乌鲁木齐 830046;
    2. 武汉大学 资源与环境科学学院, 湖北 武汉 430079
  • 收稿日期:2014-07-04 修回日期:2014-11-17 出版日期:2015-03-20 发布日期:2015-03-20
  • 通讯作者: 塔西甫拉提·特依拜(Email: tash@xju.edu.cn)
  • 作者简介:邓煜霖(1988-), 男, 新疆乌鲁木齐人, 硕士研究生, 主要从事干旱区资源遥感与应用研究。Email: dengyulin27@126.com
  • 基金资助:

    国家自然科学基金项目(41130531, 41361045)

NDVI at a Vertical Gradient in the Ebinur Lake Basin, Xinjiang, China

Deng Yulin1,2, Tashpolat Tiyip2, Jiang Hongtao3, Zhang Fei1,2, Mamat Sawut1,2, Nurmamatjan Obulkasim1,2   

  1. 1. College of Resources and Environment Sciences, Xinjiang University, Urumqi 830046, China;
    2. Key Laboratory of Oasis Ecology under Ministry of Education, Xinjiang University, Urumqi 830046, China;
    3. Xinjiang Key Laboratory of Smart City and Environmental Modelling, Xinjiang University, Urumqi 830046, China;
    2. School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
  • Received:2014-07-04 Revised:2014-11-17 Online:2015-03-20 Published:2015-03-20

摘要:

利用2000-2011年MODIS-NDVI数据分析了艾比湖流域植被变化特征,以MVC法合成年最大NDVI,研究不同尺度下海拔与NDVI的关系。建立了12年的NDVI变化趋势的一元线性回归方程,结合DEM数据,分析了24等分下海拔间的NDVI变化趋势。结果显示:(1)总体上,NDVI与海拔的拟合程度较好,判定系数均大于0.88,随着等分数目减少,判定系数增大,10等分时,海拔与NDVI的相关性最大,为0.97;2 500 m为NDVI的分水岭,该海拔以下区域植被覆盖逐渐增加,以上区域植被覆盖逐渐减少;(2)研究区12年NDVI趋势变化平均值为1.03,总体属轻度改善;1 500 m以上区域植被呈减少态势,1 200 m以下植被呈增长态势;(3)各海拔带内NDVI趋势平均值为-42~54,研究区大部分像元NDVI趋势值较小,植被覆盖情况属于轻度改善和轻度退化。

关键词: 植被覆盖, 垂直梯度, MODIS-NDVI, DEM

Abstract:

Vegetation is the most essential part of terrestrial ecosystem, its temporal/spatial changes in normalized difference vegetation index (NDVI) have been widely used in correlation studies. In this paper, MODIS-NDVI datasets in 2000-2011 are used for monitoring vegetation changes in the Ebinur Lake basin, MVC method is applied to make up the 12-year maximum NDVI, DEM data are divided into six intervals to revealing the relationship between NDVI and altitude; established 12-year NDVI trends by linear regression, analysis the trends of NDVI in different elevation intervals. The results showed that: (1) Overall, NDVI values comply well with elevation in six scales, with R2>0.88, elevation with 10 equal intervals and NDVI have the highest correlation, with R2=0.97; NDVI is increasing with the elevation under 2 500 m, is decreasing above 2 500 m; (2) The average of NDVI trend is 1.03 in the studied area, showing that the overall improvement of eco-environment; and it has a decreasing trend of vegetation above 1 500 m, while it shows a rising trend of vegetation blow 1 200 m in the past 12 years in the studied area; (3) In each scale, the average values of the NDVI trend are in the range of -42-54, indicating that large parts of study area are slightly improved and light degradation. The paper provide a new view to study the NDVI changes under different elevation intervals, it is of significance and value to local ecological environment construction.

Key words: vegetation cover, vertical gradient, MODIS-NDVI, DEM

中图分类号: