湖北农业科学 ›› 2023, Vol. 62 ›› Issue (3): 182-186.doi: 10.14088/j.cnki.issn0439-8114.2023.03.028

• 生态·环境 • 上一篇    下一篇

辽宁省NDVI时空变化及其与地形因子的关系

海燕1,2, 何孟琦1,2, 孙咏琦1,2, 郑舒元1,2, 王建雄1,2   

  1. 1.云南农业大学水利学院,昆明 650201;
    2.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:2021-10-08 发布日期:2023-04-20
  • 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:海 燕(1999-),女,辽宁阜新人,在读硕士研究生,研究方向为资源与环境遥感,(电话)15641109962(电子信箱)996277811@qq.com

Temporal and spatial variation of NDVI and its relationship with topographic factors in Liaoning Province

HAI Yan1,2, HE Meng-qi1,2, SUN Yong-qi1,2, ZHENG Shu-yuan1,2, WANG Jian-xiong1,2   

  1. 1. School of Water Conservancy, Yunnan Agricultural University, Kunming 650201,China;
    2. Yunnan Province University Agricultural Remote Sensing and Precision Agriculture Engineering Research Center,Kunming 650201,China
  • Received:2021-10-08 Published:2023-04-20

摘要: 通过MODIS的月合成NDVI产品和辽宁省的地形数据(包括高程、坡度、坡向),分析2001—2020年辽宁省的NDVI时空变化情况及其与地形因子的相关性。结果表明,辽宁省20年内的植被情况总体上呈轻微改善状态,空间上植被退化地区面积较小,改善地区面积较大。受辽宁省海拔较低的情况影响,研究区内整体气温不会随海拔升高而下降,故辽宁省高程与NDVI成正比,海拔越高,NDVI越大。NDVI随着坡度的增加呈先上升后下降的趋势,在急坡时NDVI最大。坡向与植被的关系较弱,没有明显差异,北面略高于南面。

关键词: NDVI, 地形因子, 时空变化, 辽宁省

Abstract: Based on the monthly synthetic NDVI products of MODIS and the topographic data of Liaoning Province (including elevation, slope and aspect), the temporal and spatial changes of NDVI and the correlation between NDVI and topographic factors in Liaoning Province from 2001 to 2020 were analyzed. The results showed that the vegetation situation in Liaoning Province had been slightly improved in the past 20 years. Spatially, the area of vegetation degradation was small and the area of improvement was large. Affected by the low altitude of Liaoning Province, the overall temperature in the study area would not decrease with the increase of altitude, so the elevation of Liaoning Province was directly proportional to the NDVI. The higher the altitude, the greater the NDVI. The NDVI increased first and then decreased with the increase of slope, and the NDVI was the largest on the steep slope. The relationship between slope direction and vegetation was weak, there was no obvious difference, and the north was slightly higher than the south.

Key words: NDVI, terrain factor, temporal and spatial variation, Liaoning Province

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