摘要
基于气象和遥感数据提出了一个区域植被生产力估算模型。模型结合光能利用模型和生态过程模型的各自优点,引入MT-CLIM模型计算太阳短波辐射,以常规气象资料和LAI、FPAR等遥感反演数据为输入,可实现区域以日为步长的植被生产力估算。以太湖流域为例,估算研究区日总初级生产力(GPP)与净初级生产力(NPP),并与MODIS植被生产力遥感产品MOD17以及国内相关研究结果进行比较。结果表明,模型结果与MODIS产品及已有研究结果都较接近,模型可用于区域植被生产力的估算。
A vegetation productivity estimating model based on meteorological and remote sensing data was developed in this paper. The model, taking advantage of light using efficiency model and ecological process model,MT-CLIM was introduced to calculate solar shortwave radiation. Conventional meteorological data, LAI,FPAR,and other remote sensing data were used as input data to realize the estimation of daily GPP and NPP in the region. Using the model and necessary input data,we produced the experimental vegetation productivity results for Taihu Basin,and the results were compared with MODIS gross primary productivi- ty （GPP） ,net primary productivity （NPP） products and other research results. The results from this model were approximately the same with MODIS products and other researches, and the model could be used to estimate regional vegetation productivity.
作者
李一哲
张廷龙
孙睿
刘秋雨
LI Yi-zhe ZHANG Ting-long SUN Rui LIU Qiu-yu(College of Resources and Environment, Northwest A ＆F University,Yangling , Shaanxi 712100, China State Key Laboratory of Remote Sensing Science ,Jointly Sponsored by Beij ing Normal University and the Institute of Remote Sensing Applications of Chinese Academy of Sciences ,Beijing 100875 ,China School of Geography and Remote Sensing Sciences ,Beijing Normal University ,Beijing 100875 ,China)
出处
《西北林学院学报》
CSCD
北大核心
2017年第2期230-236,共7页
Journal of Northwest Forestry University
基金
国家自然科学基金项目"多源观测信息与陆表水碳通量过程模型的数据同化研究"(41301451)
"遥感数据与植被生态系统碳循环模型的同化研究"(40971221)
