文献类型：会议论文

英文题名：UNCERTAINTY ANALYSIS OF FOREST ABOVE-GROUND BIOMASS INCREMENTS IN SOUTHERN QILIAN MOUNTAINS

作者：Han, Zongtao[1,2] Tian, Xin[1] Jiang, Hong[2] Ling, FeiLong[2] Yan, Min[1]

第一作者：Han, Zongtao

通信作者：Tian, X[1]

机构：[1]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[2]Fuzhou Univ, Minist Educ, Key Lab Spatial Data Min & Informat Sharing, Gongye Rd 525, Fuzhou 350002, Peoples R China

会议论文集：36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

会议日期：JUL 10-15, 2016

会议地点：Beijing, PEOPLES R CHINA

语种：英文

年份：2016

摘要：This study showed the potential for using Monte Carlo method for uncertainty analyses based on multi-parameter remote sensing data or incorporated models. The Monte Carlo method, involves using random numbers and probability to solve problems, is a simple but useful tool for uncertainty analyses with complex models. In this study, the uncertainties of the inter-annual and the overall forest AGB increments in the QMs form 2000 to 2012 were analyzed based on the Monte Carlo method. The sensitivity analysis showed that the modeled NPPs (SEnpp) contributed the most uncertainty to the inter-annual forest AGB dynamics. Furthermore, multi-source data and incorporated model fusion methods should be adopted to reduce model output uncertainties. ? 2016 IEEE.