Arid
DOI10.1016/j.ecolind.2015.11.005
Modeling grassland aboveground biomass using a pure vegetation index
Li, Fei1,2,3; Zeng, Yuan2; Luo, Juhua1; Ma, Ronghua1; Wu, Bingfang2
通讯作者Li, Fei
来源期刊ECOLOGICAL INDICATORS
ISSN1470-160X
EISSN1872-7034
出版年2016
卷号62页码:279-288
英文摘要

Remote sensing can be the most effective means of scaling up grassland aboveground biomass (AGB) from the sample scale to the regional scale. Among the remote-sensing approaches, statistical models based on the vegetation index (VI) are frequently used to retrieve grassland AGB because of their simplicity and reliability. However, these types of models have never been comprehensively optimized to overcome VI insensitivity and soil effects. Because grassland AGB is related to grassland type, in our research the integrated orderly classification system for grassland (IOCSG) was used to differentiate grassland types. The study area, located in Inner Mongolia, China, included desert steppe, typical steppe and meadow steppe. A pure VI (PVI) was extracted from the normal VI using spectral mixture analysis (SMA). Using a proportional relationship, PVI models were then constructed based on grassland type. The results demonstrated that the PVI models can have clear advantages over the more commonly used VI models. They simplify the parameterization of VI models and thus enhance models constructed for different regions with different remote sensing data sources. Notably, detailed differentiation of grassland types can improve the accuracy of AGB estimates. The methodology proposed in this study is particularly beneficial for AGB estimates at a national scale, especially for countries such as China with many grassland types. (C) 2015 Elsevier Ltd. All rights reserved.


英文关键词Grassland aboveground biomass Remote sensing Pure vegetation index Integrated orderly classification system of grassland Inner Mongolia
类型Article
语种英语
国家Peoples R China
收录类别SCI-E
WOS记录号WOS:000370454600028
WOS关键词NET PRIMARY PRODUCTIVITY ; LEAF-AREA INDEX ; INNER-MONGOLIA ; REMOTE ; REGION ; CLASSIFICATION ; RANGELANDS ; DYNAMICS ; PATTERNS ; PASTURE
WOS类目Biodiversity Conservation ; Environmental Sciences
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/192405
作者单位1.Chinese Acad Sci, Nanjing Inst Geog & Limnol, Key Lab Watershed Geog Sci, Nanjing 210008, Jiangsu, Peoples R China;
2.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China;
3.Minist Land & Resources, China Land Surveying & Planning Inst, Key Lab Land Use, Beijing 100035, Peoples R China
推荐引用方式
GB/T 7714
Li, Fei,Zeng, Yuan,Luo, Juhua,et al. Modeling grassland aboveground biomass using a pure vegetation index[J],2016,62:279-288.
APA Li, Fei,Zeng, Yuan,Luo, Juhua,Ma, Ronghua,&Wu, Bingfang.(2016).Modeling grassland aboveground biomass using a pure vegetation index.ECOLOGICAL INDICATORS,62,279-288.
MLA Li, Fei,et al."Modeling grassland aboveground biomass using a pure vegetation index".ECOLOGICAL INDICATORS 62(2016):279-288.
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