测绘通报 ›› 2019, Vol. 0 ›› Issue (3): 103-107.doi: 10.13474/j.cnki.11-2246.2019.0087

• 技术交流 • 上一篇    下一篇

25年来秦岭NDVI指数的气候响应

陈晓宁, 蒋好忱   

  1. 国家测绘地理信息局第一地形测量队, 陕西 西安 710054
  • 收稿日期:2018-07-09 修回日期:2018-12-24 出版日期:2019-03-25 发布日期:2019-04-02
  • 通讯作者: 蒋好忱。E-mail:jianghaochenwy@126.com E-mail:jianghaochenwy@126.com
  • 作者简介:陈晓宁(1962-),男,高级工程师,主要从事摄影测量与遥感应用研究。E-mail:2102801393@qq.com
  • 基金资助:
    陕西测绘地理信息局科技创新专项基金;国家测绘地理信息局第一地形测量队科技创新项目

Climate response of NDVI index on Qinling Mountains in 25 years

CHEN Xiaoning, JIANG Haochen   

  1. The First Topographic Surveying Brigade of NASG, Xi'an 710054, China
  • Received:2018-07-09 Revised:2018-12-24 Online:2019-03-25 Published:2019-04-02

摘要: 利用1982-2006年的植被指数和研究区域内4个气象站的气温、降水数据,研究陕西秦岭地区植被指数、气温、降水的多年变化趋势,分析植被指数与气温和降水的相关关系。利用植被类型数据分析不同植被种类的NDVI与不同气候因子的相关程度。结果表明,1982-2006年,研究区域年均气温有明显的上升,升幅达2.1℃,而年总降水量每10年下降约72 mm,秦岭地区NDVI略有上升。整体而言,植被指数的变化与气温之间的相关性在中部最大,向东西两侧递减;与降水之间的相关性在中部最小,向东西两侧递增。气温对果树园、经济林的影响最大,降水对阔叶林的影响最大。气温是影响该地区植被指数变化的主要因素。

关键词: 秦岭, NDVI, 气候因子, 相关性

Abstract: Using vegetation index and four meteorological stations'air temperature,precipitation data of the research area in 1982 to 2006,the paper researches vegetation index,the temperature and precipitation change tendency of qinling region in shaanxi,analyzes the correlation between vegetation index and the temperature or precipitation.Using the vegetation type data analysize the related degree between different vegetation types of NDVI and different climate factors.The results show that from 1982 to 2006,the research area average annual temperature is an obvious rise,rise up to 2.1℃,the annual total rainfall of every 10 years down about 72 mm,NDVI in qinling region increases slightly.Overall,the correlation between the changes of vegetation index and temperature in the middle region is the largest,decreasing on both sides and the correlation between rainfall is minimum in the middle,increment on both sides.Temperature has the greatest influence on orchard and economic forest,precipitation has the greatest impact on broad-leaved forests.The temperature is the main factors influencing the changes of vegetation index in the region.

Key words: Qinling Mountains, NDVI, climate factor, correlation

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