摘要
为了快速准确地提取出地表植被的状况,分析植被的变化,以保护研究区的植被,为人类的生存提供有利的环境。笔者利用1998—2007年SPOT卫星的旬月时间序列的数据和同期的气象数据,利用相关性分析和多元线性回归方法分析河北省的承德地区近10年的植被覆盖变化以及NDVI及其驱动性因子气温降水和地表温度之间的相关关系。结果表明：在1998—2007年间,植被状况最好的月份出现在每年的7、8月份。NDVI的最低值出现在2000年,最高值出现在2005年。承德地区植被与气温、降水和地表温度从整体上来看都成弱的正相关,从年内的变化来看整体也都有着显著的线性关系。研究区的年平均NDVI与年平均气温间的相关系数（0.24）明显大于降水（0.07）和地表温度（0.02）。2005年NDVI显著变化的区域主要分布在承德地区北部坝上一带,即丰宁县和围场县。气温在20~24℃研究区的植被长势较好;地表温度在20~30℃时,植被长势比较好。降水在10~40mm之间植被长势较好。在空间上,研究区的植被受气温的影响明显大于降水和地表温度。
In order to quickly and accurately extract vegetation situation,analyze vegetation change,protect vegetation and provide favorable environment for survival of mankind,this research used 10-day SPOT VEGATION NDVI time-series data and meteorological data from 1998 to 2007 in Chengde district of Hebei Province,using correlation analysis and multiple linear regression methods,to analyze vegetation change and correlations between NDVI and driving factors including air temperature,precipitation and land surface temperature of chengde district during these 10 years.The results showed that vegetation grew best in July and August every year.The lowest value of NDVI appeared in 2000,the highest value of NDVI appeared in 2005.Correlation between vegetation and temperature,precipitation and surface temperature were weak positive,and also were significant linear relationship.The correlation between annual average NDVI and annual average temperature was higher（0.24） than that of precipitation（0.07） and surface temperature（0.02）.Significant NDVI change in 2005 was mainly distributed in the north of Chengde district,that is to say,Bashang area in Fengning and Weichang Counties.Vegetation grew better in area of temperature 20-24℃,surface temperature 20-30℃ and 10-40 mm precipitation.In space,vegetation in the study area was affected by air temperature more significantly than precipitation and surface temperature.
出处
《中国农学通报》
CSCD
北大核心
2011年第11期203-212,共10页
Chinese Agricultural Science Bulletin
基金
国家重点基础研究发展规划项目(2007CB714406)
中国科学院知识创新工程重要方向项目(KZCX2-YW-313)
河北师范大学博士基金(L2008B15)
河北师范大学重点基金(L2009Z08)
欧盟项目CEOP-AEGIS(FP7-ENV-2007-1Grantnr.212921)
河北省社科基金(HB10DLJ009)
关键词
NDVI
植被覆盖
遥感
气候因子
相关分析
NDVI
vegetation cover
remote sensing
climate factors
correlation analysis
