检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:马琼芳[1,2] 崔丽娟[1] 郝云庆[3] 高常军[1] 王义飞[1] 李伟[1]
机构地区:[1]中国林业科学研究院湿地所,北京100091 [2]吉林省林业科学研究院,长春130033 [3]四川省林业科学研究院,成都610081
出 处:《林业资源管理》2015年第4期45-51,共7页Forest Resources Management
基 金:林业公益性行业科研专项(201204201);吉林省林业厅科技项目(2013-020);林业科技创新平台运行补助项目(2015-LYPT-DW-053)
摘 要:采用若尔盖高寒沼泽2011—2012年TM5遥感数据和同期野外调查获得的32个样地湿地植被生物量数据,分析了遥感影像光谱特征、纹理特征以及地形特征与实测样点地上、地下和总生物量的相关关系并建立多元逐步回归模型,进而计算生物量,结果表明:草本沼泽植被生物量与地形因子和纹理特征的相关性不强,与遥感影像及其植被指数等自变量有显著的相关关系。若尔盖高寒沼泽的植被地上、地下、总生物量分别为367.05,3 680.36,4 048.01g/m2。随着地表水分的减少,生物量呈现先增加后减少的趋势。In this paper,the TM5 image of July and August 2011-2012 and 32 sites of aboveground bio-mass(AGB)and underground biomass(BGB)data of the Rouergai marshes in the same period were used as the data source to establish the estimation models.We examined the relationship between AGB,BGB, total biomass(TB)and spectral information from remote sensing images,topographic factors and texture features.The best estimation models were established.The main results are as follows:Both topographic factors and texture features has no correlation to the herbaceous biomass.There were allometric relation-ship(p <0.05)between biomass and remote sensing image,vegetation index.The average aboveground bi-omass(AGB),underguound biomass(BGB)and total biomass(TB)for the Rouergai alpine marshes were 367.05,3680.36 and 4048.01 /gm2 ,respectively.With the reduction of surface water,the biomass in-creased first and then decreased.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.249