自然科学版
陕西师范大学学报(自然科学版)
资源与环境科学
陕西省地表植被覆盖变化趋势分析及评价
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张翀,李晶,任志远*
(陕西师范大学 旅游与环境学院, 陕西 西安 710062)
张翀,男,博士研究生,主要研究方向为资源环境遥感与GIS.Email: zhangch3348@126.com.
摘要:
基于数理统计和投影寻踪分类,对陕西省1999-2007年归一化植被指数(NDVI)进行了评价.结果表明:(1)陕北、关中和陕南(三大地区)各种地表覆盖类型的NDVI在全年和四季都在增加,三个大区全年中陕南NDVI增加最多,四季中以春季增加最多;(2)疏林NDVI增加最为显著,其次是常绿阔叶林和斜坡草地,四季中仍以春季增加最多;(3)春季易于提取类与类之间的信息,冬季易于提取草地以外的其他类型亚类的信息,夏季最适宜提取草地亚类以及草地与沙漠之间的信息,秋季提取各个类型以及亚类的信息都比较适宜;(4)陕西省植被覆盖在逐年改善,且改善效果明显,四季植被覆盖改善趋势基本达到上限,重在维护.
关键词:
植被覆盖; 归一化植被指数; 投影寻踪分类; 评价; 陕西
收稿日期:
2011-01-18
中图分类号:
TP79
文献标识码:
A
文章编号:
16724291(2011)05008307
基金项目:
教育部人文社会科学重点研究基地项目(2009JJD770025).
Doi:
Trend analysis and evaluation of vegetation cover variation in Shaanxi province
ZHANG Chong, LI Jing, REN Zhiyuan*
(College of Tourism and Environment, Shaanxi Normal University, Xi′an 710062, Shaanxi, China)
Abstract:
Based on mathematical statistics and projection pursuit clustering, NDVI of Shaanxi province from 1999 to 2007 was evaluated. The results showed that: (1) NDVI of various vegetation types throughout the year and the four seasons were on the rise in three regions, the largest increase of NDVI throughout the year was distributed in the south of Shaanxi province; and the largest increase of NDVI among four seasons was spring; (2) NDVI of the sparse increased most significantly, followed by the evergreen broad-leaved forest and slope grassland, and the largest increase of NDVI among four seasons was still spring; (3) it was easy for NDVI information to be extracted between class and class in spring, and sub-categories of other types except grass was obtained easily in winter; It was suitable to pick up sub-category of grass and the information between desert and grassland in summer, and it was suitable to extract the information of various types and sub-categories in autumn; (4) The vegetation cover of Shaanxi province improved significantly year by year, and its effect was obvious; the improvement trend of vegetation cover has essentially reached the upper limit and it is important to maintain the vegetation cover state.
KeyWords:
vegetation cover; normalized difference vegetation index (NDVI); projection pursuit clustering (PPC); evaluation; Shaanxi