基于多时相遥感数据的徐州市植被净初级生产力估算及相关性分析  

Net Primary Productivity of Vegetation Estimation and Correlation Analysis based on Multi-Temporal Remote Sensing Data in Xuzhou

作　　者：李二珠[1] 谭琨[1] 杜培军[2] 蒋东娥[3] 

机构地区：[1]中国矿业大学江苏省资源环境信息工程重点实验室,江苏徐州221116 [2]南京大学地理信息科学系,江苏南京210093 [3]水利部河北省水利水电勘测设计研究院,河北石家庄050031

出　　处：《遥感技术与应用》2013年第4期689-696,共8页Remote Sensing Technology and Application

基　　金：国家自然科学基金(41101423);中央高校基本科研业务费专项资金(2010QNA18);国土环境与灾害监测国家测绘局重点实验室开放基金资助项目(LEDM2010B03;LEDM2011B05);江苏省煤基CO2捕集与地质储存重点实验室基金(2011KF06)

摘　　要：以遥感数据和气象数据为主要数据源,应用改进的光能利用率模型估算徐州市2006、2008和2010年3年间6月份的植被净初级生产力(Net Primary Productivity,NPP),研究了该区域6月份NPP的时空变化及其与气象因子的相关性。结果表明:时间上,受气候和环境等因素综合变化的影响,研究区域6月份NPP呈逐年下降趋势;空间上,NPP的分布表现为在林地、草地和农田相对集中的区域偏高,且不同植被类型6月份的NPP大小关系在不同年份可能不同,其中在2006和2008年为农田>草地>林地,而2010年为农田>林地>草地。通过分析与气象因子的相关性和偏相关性,限制NPP的主要气象因子不是固定不变的,其中2006和2008年,限制NPP的主要气象因子为太阳辐射,而2010年为降雨量和温度。不同植被类型下NPP与气象因子相关性和偏相关性差异反映了不同类型植被生长对光、热、水条件要求的差异。An improved Carnegie Ames Stanford Approach model due to remote sensing data and climate variables were used to estimate the Net Primary Productivity （NPP） of Xuzhou in the June of 2006,2008, 2010. The results of analysis variations and the relationship with climatic factors were as the follow： The mean NPP of terrestrial vegetation in Xuzhou showed decreasing trend in recent years because of the chan ges in climate and environment;The NPP values were higher in most of places where woodland,lawn and farmland were.aggregation, the variations of NPP might be significant in different vegetation types, the NPP of farmland was more than lawn and woodland in 2006 and 2008,and the NPP of farmland was more than farmland and lawn in 2010. Based on the analysis of the correlation and partial correlation between NPP and climatic factors （temperature,precipitation and sunshine duration）,it could be concluded that the influences of climate were complicated with NPP, and the dominant factor was not constant in this area. Be- cause water and heat was in a good condition for vegetation growth in 2006 and 2008,the relationship be tween sunshine duration and NPP was more stronger;The temperature and precipitation became the limit ing factors in 2010 because of lower in themselves and longer in sunshine duration. The different require ments of the different vegetation types in light,heat and water could be reflected by the variations of corre lation and partial correlation between NPP and climatic factors in different vegetation types.

关 键 词：遥感 植被净初级生产力 光能利用率模型 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]