若尔盖高寒沼泽植被生物量遥感估算研究.pdf
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2015 年8月 林业资源管理 August2015
第4期 FOREST RESOURCES MANAGEMENT No4
若尔盖高寒沼泽植被生物量遥感估算研究
1,2 1 3 1 1 1
马琼芳 ,崔丽娟 ,郝云庆 ,高常军 ,王义飞 ,李 伟
(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)
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36705,
3 68036,4 04801g/m 。随着地表水分的减少,生物量呈现先增加后减少的趋势。2
关键词:遥感;生物量;若尔盖
中图分类号:S7185;Q948 文献标识码:A 文章编号:1002-6622(2015)04-0045 -07
DOI:10.13466/j.cnki.lyzygl.2015.04.009
Satellite Remote SensingEstimationofBiomass in Ruoergai Alpine Marshes
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MA Qiongfang ,CUI Lijuan ,HAO Yunqing ,GAO Changjun ,WANGYifei ,LI Wei
(1Institute ofWetlands,ChineseAcademyofForestry,Beijing 100091,China;2Academy ofForestry ofJilin Province,Changchun 130033,
China;3AcademyofForestryofSichuan Province,Chengdu610081,China)
Abstract:In this paper,the TM5 image ofJuly and August2011—2012 and32 sitesofaboveground bio
mass(AGB)and underground biomass(BGB)data ofthe Rouergai marshes in the same period were used
asthe data source to establish the estimation modelsWe examined the relationship between AGB,BGB,
total biomass(TB)and spectral information from remote sensing images,topographic factors and texture
featuresThe best estimation models were establishedThe main results are as follows:Both topographic
factors and texture features has no correlation to the herbaceous biomassThere were allometric relation
ship(p<005)betweenbi
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