青藏高原草地生物量遥感动态监测  

The grassland biomass monitoring by remote sensing technology in the Qinghai-Tibet Plateau

作　　者：方金[1] 黄晓东[1] 王玮[1] 于惠[1] 马琳雅[1] 梁天刚[1] 

机构地区：[1]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,甘肃兰州730020

出　　处：《草业科学》2011年第7期1345-1351,共7页Pratacultural Science

基　　金：中央高校基本科研费小额探索项目(lzujbky-2009-106);教育部科技创新工程重大项目培育资金项目(708089)

摘　　要：利用青海省2006年8月地面样点实测的生物量,结合相应月份的MODIS植被指数数据,提取与样点对应的EVI和NDVI值,建立生物量与两种植被指数之间的关系模型,并分析模型的精度。结果表明,1)EVI与草地地上生物量的相关性强于NDVI。2)在不同盖度下,植被指数与生物量的相关性随着盖度的增大而增强。3)利用最优模型反演不同草地类型的逐月生物量,并分析研究区2002-2008年不同草地类型生物量的年季动态变化,发现草地生产力水平越高,草地生物量的年季变化越剧烈,说明该种类型的草地受气候变化的影响越大;生产力水平越低的草地类型,则对气候变化的敏感度较低。The biomass data from field survey during August and September 2006 in Qinghai province and correspondingly MODIS image data was used to establish the model of biomass monitoring by using vegeta- tion index EIV and NDVI, and the accuracy of this model was also assessed in this study. This study showed that： EVI has stronger correlation with above ground biomass than NDVI, and the correlation be- tween EVI and biomass increased with the increase of grassland coverage for each grassland cover grade. The optimal models was calculated the grass biomass of different types of grassland from 2002 to 2008 in Qinghai-Tibet Plateau. The seasonal change of grassland biomass with higher productivity was more se- vere, implying that the grassland types would be influenced by climate change greatly. The seasonal change of grassland biomass with lower productivity was not sensitive to climate change.

关 键 词：植被指数 生物量 草地 模型 青藏高原 

分 类 号：Q945.79[生物学—植物学] S812[农业科学—草业科学]