Arid
干旱区草原地上植被生物量估算--以乌图美仁大草原芦苇植被为例
其他题名Estimation of Aboveground Biomass in Arid Region with ASAR Data and TM Data:A Case Study over the Reed Vegetation of Wutumeiren Prairie, Qinghai Province
行敏锋; 何彬彬
来源期刊地球信息科学学报
ISSN1560-8999
出版年2014
卷号16期号:2页码:335-340
中文摘要草原是干旱区生态系统中重要的可再生资源。本文基于草本植被的结构特征,利用ASAR和TM数据,结合MIMICS模型,提出了一种估算干旱区草原地上植被生物量的方法。该方法将光学遥感数据容易反演的叶面积指数(LAI)作为反演生物量模型的参数之一,并利用LAI成功估算了单位面积内的草本植被密度。将地上生物量作为输入变量代入改进的MIMICS模型,利用查找表方法,计算出地上植被生物量。然后,将该方法应用于乌图美仁草原的地上植被生物量的反演。结果表明,该方法能够成功地反演干旱区草原草本植被地上生物量,精度达到R2=0.8562,RMSD=0.6263。最后,分析了该方法估算植被生物量的误差来源。
英文摘要Grasslands are important renewable resources in ecosystems of arid areas. As one of the important components of prairie ecosystems, aboveground biomass is the key indicator of health status of the prairie eco-systems. Comparing to the significant limitations of the traditional method of biomass, the satellite remote sens-ing provides a unique effective and efficient means in biomass monitoring and assessment. In this paper, we pro-posed a retrieval methodology for herbaceous vegetation biomass based on the vegetation structure characteristic and Michigan Microwave Canopy Scattering (MIMICS) model using the ASAR and TM data. A two-layer cano-py reflectance model (ACRM) was used to inverse the Leaf Area Index (LAI) which can be easily retrieved from the optical remote sensing data. Then LAI was used to get the number of plants per unit area. The aboveground biomass served as an input parameter was input into the adaption of MIMICS model which adopted for character-izing the backscatter from herbaceous vegetation by deleting the scatter component associated with ground-trunks. Then, based on established equations which used the dual-polarized radar data, the aboveground biomass was calculated using the lookup table. The method was applied to retrieve the biomass of Wutumeiren prairie, Qinghai Province. Results indicated that the method was of the operational potential in aboveground bio-mass of the herbaceous vegetation in arid region. And a good accuracy of the biomass retrieval was achieved (R2=0.8562, RMSD=0.6263). Finally, we analyzed the error sources of biomass estimation using this method. The sources of error might be come from two aspects, i.e. error of the input model parameters, and the ill-posed inversion problem, for which, the mean value was used as the inverse results when the solution is not unique.
中文关键词干旱区草原 ; 生物量 ; 后向散射系数 ; MIMICS模型
英文关键词prairie of arid regions biomass backscattering coefficient MIMICS model
语种中文
国家中国
收录类别CSCD
WOS类目AGRICULTURE MULTIDISCIPLINARY ; FORESTRY
WOS研究方向Agriculture ; Forestry
CSCD记录号CSCD:5090338
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/230966
作者单位电子科技大学资源与环境学院, 成都, 四川 611731, 中国
推荐引用方式
GB/T 7714
行敏锋,何彬彬. 干旱区草原地上植被生物量估算--以乌图美仁大草原芦苇植被为例[J],2014,16(2):335-340.
APA 行敏锋,&何彬彬.(2014).干旱区草原地上植被生物量估算--以乌图美仁大草原芦苇植被为例.地球信息科学学报,16(2),335-340.
MLA 行敏锋,et al."干旱区草原地上植被生物量估算--以乌图美仁大草原芦苇植被为例".地球信息科学学报 16.2(2014):335-340.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[行敏锋]的文章
[何彬彬]的文章
百度学术
百度学术中相似的文章
[行敏锋]的文章
[何彬彬]的文章
必应学术
必应学术中相似的文章
[行敏锋]的文章
[何彬彬]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。