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基于微波植被指数的甘南草地生物量动态监测
引用本文:于惠,冯琦胜,陈思宇,韩兰英,黄晓东,梁天刚.基于微波植被指数的甘南草地生物量动态监测[J].兰州大学学报(自然科学版),2011(4).
作者姓名:于惠  冯琦胜  陈思宇  韩兰英  黄晓东  梁天刚
作者单位:兰州大学草地农业科技学院农业部草地农业生态系统学重点实验室;西北区域气候中心;
基金项目:教育部高等学校科技创新工程重大项目培育资金项目(708089); 国家自然科学基金项目(30972135); 国家科技支撑计划项目(2009BAC53B01); 国家高技术研究发展专项(2007AA10Z232)
摘    要:利用2003-2007年AMSR-E每日亮温产品计算了甘南州每日微波植被指数,结合Terra/MODIS植被指数产品比较分析了两种植被指数之间的关系.在此基础上,建立了基于微波植被指数的生物量监测模型,并对其精度进行了评价.结果表明:基于升轨6.925,10.650 GHz亮温数据的微波植被指数与MODIS增强型植被指数EVI之间有良好的相关性,其,rR2和RMSEP值分别为0.69,0.54和0.044.基于微波植被指数的草地生物量干重监测模型能反映甘南草地生物量的基本变化规律.由西向东、由北向南生物量逐渐增加,生长季内(5-10月)生物量产量峰值出现在7,8月份,不同草地类型生长季内的干物质产量由高向低依次为暖性草丛类、沼泽类、高寒灌丛草甸类、温性草甸草原类、高寒草甸类、温性草原类,低平地草甸最低.

关 键 词:微波植被指数  生物量  反演模型  交叉验证  甘南州  

Grassland biomass dynamic monitoring in Gannan prefecture based on the microwave vegetation indices
YU Hui ,FENG Qi-sheng ,CHEN Si-yu ,HAN Lan-ying ,HUANG Xiao-dong ,LIANG Tian-gang .Key Laboratory of Grassl, Agro-ecology System with the Ministry of Agriculture,School of Pastoral Agriculture Science , Technology,Lanzhou University,Lanzhou ,China .Northwestern Regional Climate Center,China.Grassland biomass dynamic monitoring in Gannan prefecture based on the microwave vegetation indices[J].Journal of Lanzhou University(Natural Science),2011(4).
Authors:YU Hui  FENG Qi-sheng  CHEN Si-yu  HAN Lan-ying  HUANG Xiao-dong  LIANG Tian-gang Key Laboratory of Grassl  Agro-ecology System with the Ministry of Agriculture  School of Pastoral Agriculture Science  Technology  Lanzhou University  Lanzhou  China Northwestern Regional Climate Center  China
Institution:YU Hui 1,FENG Qi-sheng 1,CHEN Si-yu 1,HAN Lan-ying 2,HUANG Xiao-dong 1,LIANG Tian-gang 1 1.Key Laboratory of Grassland Agro-ecology System with the Ministry of Agriculture,School of Pastoral Agriculture Science and Technology,Lanzhou University,Lanzhou 730020,China 2.Northwestern Regional Climate Center,China
Abstract:The daily microwave vegetation indices were calculated by using AMSR-E daily brightness temper-ature data from 2003 to 2007 in Gannan prefecture,and then the relationship between microwave vegetation indices and Terra/MODIS vegetation indices were analyzed.On that basis,a biomass inversion model was established and its accuracy was assessed.The results indicate that there is a good correlation between the microwave vegetation indices which were based on 6.925 GHz and 10.650 GHz ascend channels brightness te...
Keywords:microwave vegetation indice  biomass  inversion model  cross validation  Gannan prefecture  
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