文献类型：会议论文

英文题名：Estimating gross primary production of a semi-arid grassland ecosystem with a satellite-driven model, VPM

作者：Liu, Jianfeng[1,2]

第一作者：刘建锋;Liu, Jianfeng

通信作者：Liu, J.

机构：[1] Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China; [2] Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China

会议论文集：2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011 - Proceedings

会议日期：June 24, 2011 - June 26, 2011

会议地点：Nanjing, China

语种：英文

外文关键词：Carbon - Ecosystems - Photosynthesis - Remote sensing - Satellites - Surface waters

年份：2011

摘要：Estimation of gross primary production (GPP) from remote sensing data is an important approach to study regional or global carbon cycle. In this study, a satellite-driven model, vegetation photosynthesis model (VPM) was introduced to estimate gross primary production (GPP) of the semi-arid grassland ecosystem for the growing season (2006) in North China. Meanwhile, observed GPP derived from eddy covariance flux data were used to critically evaluate the performance of the model. As defined by the input variables of VPM, two improved vegetation indices (enhanced vegetation index (EVI) and land surface water index (LSWI)) derived from the standard data product MOD09A1 of Moderate Resolution Imaging Spectroradimeter (MODIS), air temperature and photosynthetic active radiation at the flux site, were included for the model calculating. The seasonal dynamics of GPP predicted by the VPM model agreed well with estimated GPP from the eddy flux tower, and simulation with time step of 8-day was better than with 1-day time step. Results of this study demonstrate that the satellite-driven VPM has potential for estimating site-level or regional grassland GPP, and might be an effective tool for scaling-up carbon fluxes. ? 2011 IEEE.