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农学学报 ›› 2018, Vol. 8 ›› Issue (8): 16-21.doi: 10.11923/j.issn.2095-4050.cjas17090021

• 土壤肥料 资源环境 生态 • 上一篇    下一篇

基于MODIS-NDVI的陕西省植被覆盖变化特征分析

陈科皓   

  1. 陕西省土地工程建设集团有限责任公司
  • 收稿日期:2017-09-28 修回日期:2018-04-19 接受日期:2018-04-25 出版日期:2018-08-20 发布日期:2018-08-20
  • 通讯作者: 陈科皓 E-mail:chenkehao.2008@163.com
  • 基金资助:
    无基金

Characteristics of Vegetation Coverage Change in Shaanxi: Based on MODIS-NDVI

  • Received:2017-09-28 Revised:2018-04-19 Accepted:2018-04-25 Online:2018-08-20 Published:2018-08-20

摘要: 为实现人地关系协调发展,为陕西省生态建设政策的制定和实施提供理论依据,本研究基于MODIS-NDVI 影像及高程数据,采用MVC、一元线性回归等方法,分析陕西省2011—2015 年NDVI 的时空变化特征。结果表明:(1)陕西省NDVI值呈现“南高北低”的分布特征,陕南地区及陕北南部森林植被茂密,植被覆盖情况较好,陕北北部属于风沙区,植被覆盖情况较差,关中地区以农作物为主,植被覆盖情况居中;(2)2011—2015 年陕西省NDVI值呈波动变化,整体变化趋于稳定,且有好转趋势,主要分布在关中及陕南地区;陕北地区NDVI值有退化迹象;(3)随着海拔高度的增加,NDVI值呈“降低—升高—降低”的变化,2000~2500 m海拔高度范围内的NDVI值最高,植被覆盖情况较好,主要是分布在秦岭山脉的太白山地区。

关键词: 惠州梅菜, 惠州梅菜, 亚硝酸盐, 用盐量

Abstract: To realize the harmonious development of human and land, and provide a reference for formulation and implementation of ecological construction policy in Shaanxi, based on MODIS-NDVI image and altitude data, the author analyzed the spatio-temporal variation characteristics of NDVI in Shaanxi from 2011 to 2015 by using MVC and linear regression. The results showed that: (1) the distribution of NDVI in Shaanxi was characterized by“high south and low north”; the forest vegetation was thick in southern Shaanxi, as well as in the south area of northern Shaanxi; the vegetation coverage was poor in the north area of northern Shaanxi, which belonged to sandy area; the vegetation coverage was medium in Guanzhong region, which was mainly dominated by crops; (2) from 2011 to 2015, the NDVI value in Shaanxi fluctuated, the overall change tended to be stable and the trend was improving, mainly in Guanzhong and southern Shaanxi; the NDVI value in northern Shaanxi showed signs of degradation; (3) with the increase of altitude, the NDVI value presented a change of “decrease-increase-decrease”. NDVI value was the highest in the range of 2000-2500 m where the vegetation coverage was better, mainly distributed in Taibai mountain area of Qinling mountains.

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