湖北农业科学 ›› 2022, Vol. 61 ›› Issue (10): 48-55.doi: 10.14088/j.cnki.issn0439-8114.2022.10.008

• 资源·环境 • 上一篇    下一篇

2000—2015年新疆植被指数的时空动态分析

苏红军, 许仲林   

  1. 新疆大学资源与环境科学学院/绿洲生态教育部重点实验室,乌鲁木齐 830046
  • 收稿日期:2021-03-22 出版日期:2022-05-25 发布日期:2022-06-14
  • 通讯作者: 许仲林(1982-),男(土家族),青海乐都人,副教授,主要从事GIS与环境建模研究。
  • 作者简介:苏红军(1995-),男(回族),新疆乌鲁木齐人,硕士,主要从事植被变化及遥感研究,(电话)15292407647(电子信箱)2582475706@qq.com。

Temporal and spatial dynamics analysis of vegetation index in Xinjiang from 2000 to 2015

SU Hong-jun, XU Zhong-lin   

  1. College of Resources and Environment Sciences/Key Laboratory of Oasis Ecology, Ministry of Education, Xinjiang University,Urumqi 830046,China
  • Received:2021-03-22 Online:2022-05-25 Published:2022-06-14

摘要: 基于2000—2015年的MODIS NDVI数据及同期气象数据,采用趋势分析法、Mann-Kendall检验、相关分析等方法,分析16年间新疆NDVI的时空变化规律,探究NDVI对气象因子的响应。结果表明,2000—2015年新疆NDVI总体呈上升趋势,年平均NDVI与年平均温度、年平均降水量呈不显著正相关;春季NDVI与春季均温呈正相关,夏季NDVI与夏季降水量呈正相关,秋季NDVI与温度和降水量的相关性不显著;由于植被NDVI对降水量具有滞后响应,因此春季NDVI与冬季降水量之间以及秋季NDVI与夏季降水量之间均呈显著正相关;相对而言,同季均温对NDVI的影响高于前季均温,表明NDVI对温度的响应不存在滞后性。

关键词: 植被指数, 气候因子, 相关分析, 滞后性

Abstract: Based on the MODIS NDVI data and the meteorological data in the same period from 2000 to 2015, the spatial and temporal variation of NDVI was analyzed in Xinjiang by using trend analysis, Mann-Kendall test and correlation analysis, and the response of NDVI was explored to meteorological factors. The results showed that NDVI of Xinjiang was rising from 2000 to 2015, and the annual average NDVI had no significant correlation with the mean annual temperature and mean annual precipitation. There was a positive correlation between NDVI and mean temperature in spring, and between NDVI and precipitation in summer, but there was no significant correlation between NDVI and temperature and precipitation in autumn. Since NDVI had a lag response to precipitation, there was a significant positive correlation between spring NDVI and winter precipitation, and between autumn NDVI and summer precipitation. Relatively speaking, the effect of mean temperature in the same season on NDVI was higher than that of the previous season, indicating that there was no hysteresis in the response of NDVI to temperature.

Key words: vegetation index, climatic factors, correlation analysis, hysteresis

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