湖北农业科学 ›› 2022, Vol. 61 ›› Issue (20): 45-51.doi: 10.14088/j.cnki.issn0439-8114.2022.20.009

• 资源·环境 • 上一篇    下一篇

云南省近13年NDVI植被覆盖时空变化动因子分析

李亚强, 陈成, 杨栋淏, 辛京达, 刀剑, 王建雄   

  1. 云南农业大学水利学院/云南省高校农业遥感与精准农业工程研究中心,昆明 650201
  • 收稿日期:2021-08-12 出版日期:2022-10-25 发布日期:2022-11-23
  • 通讯作者: 王建雄(1975-),男,云南玉溪人,教授,博士,主要从事资源与环境遥感研究,(电话)13608873306(电子信箱)jianxiongw@126.com。
  • 作者简介:李亚强(1995-),男,山西运城人,硕士,主要从事资源与环境遥感研究,(电话)18788484081(电子信箱)1978278407@qq.com。
  • 基金资助:
    国家自然科学基金资助项目(41867040); 云南省教育厅基金资助项目(2020Y186; 2020Y0177)

Spatial and temporal changes of NDVI vegetation cover and its driving factors in Yunnan Province in the past 13 years

LI Ya-qiang, CHEN Cheng, YANG Dong-hao, XIN Jing-da, DAO Jian, WANG Jian-xiong   

  1. College of Water Resources, Yunnan Agricultural University/Yunnan University Agricultural Remote Sensing and Precision Agriculture Engineering Research Center, Kunming 650201, China
  • Received:2021-08-12 Online:2022-10-25 Published:2022-11-23

摘要: 为探究影响NDVI植被覆盖变化的多重因素,选取MODIS13Q1数据集利用均值法合成云南省13年的NDVI年均值、季均值、月均值,并且NDVI年均值通过变异系数CV的稳定性检验。2006—2018年云南省的NDVI年均值为0.641,平均增长速率为0.002 26/10年;4季的NDVI值中只有夏季呈现负相关趋势,波动范围明显;在13年的NDVI月均值中,NDVI在6—7月达到最低。将NDVI和 DEM及气象因子分析后结果表明,NDVI在<3 000 m的占比最大为91.51%,此区域植被覆盖最好。NDVI在10°~15°区域占比达到最大,而且随着坡度的增大,NDVI是先上升后下降。NDVI在北坡占比最大,其余各坡占比基本无差异,植被生长状态较好。NDVI与气温在海拔上表现出更好的相关性,NDVI在坡度、坡向方面主要受降水影响较大。

关键词: 云南省, NDVI, DEM, 相关性分析

Abstract: In order to explore the multiple factors affecting the change of NDVI vegetation cover, the MODIS13Q1 data set was selected to synthesize the annual, quarterly, and monthly average values of NDVI in Yunnan Province for 13 years, and the annual average value of NDVI passed the stability test of the coefficient of variation CV. From 2006 to 2018, the annual average value of NDVI in Yunnan Province was 0.641, and the average annual growth rate was 0.002 26/10 years; among the NDVI values of the four seasons, only the summer showed a negative correlation trend, and the fluctuation range was obvious. Among the monthly average values of NDVI in 13a, NDVI reached the lowest in June and July. The results of the analysis of NDVI, DEM and meteorological factors showed that the proportion of NDVI was the largest at <3 000 m, which is 91.51%, and the vegetation coverage in this area was the best; the proportion of NDVI was the largest in the 10°~15° region, and with the increase of slope, NDVI first increases and then decreases. The proportion of NDVI was the largest in the north slope, and the proportion of other slopes was basically the same, and the vegetation growth state was good. The correlation between NDVI and air temperature was better in altitude, and NDVI was mainly affected by precipitation in terms of slope and aspect.

Key words: Yunnan Province, NDVI, DEM, correlation analysis

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