Arid
DOI10.3390/rs6021496
Remote Sensing-Based Biomass Estimation and Its Spatio-Temporal Variations in Temperate Grassland, Northern China
Jin, Yunxiang1; Yang, Xiuchun1; Qiu, Jianjun1; Li, Jinya1; Gao, Tian2; Wu, Qiong3; Zhao, Fen1; Ma, Hailong1; Yu, Haida1; Xu, Bin1
通讯作者Xu, Bin
来源期刊REMOTE SENSING
ISSN2072-4292
出版年2014
卷号6期号:2页码:1496-1513
英文摘要

Grassland biomass is essential for maintaining grassland ecosystems. Moreover, biomass is an important characteristic of grassland. In this study, we combined field sampling with remote sensing data and calculated five vegetation indices (VIs). Using this combined information, we quantified a remote sensing estimation model and estimated biomass in a temperate grassland of northern China. We also explored the dynamic spatio-temporal variation of biomass from 2006 to 2012. Our results indicated that all VIs investigated in the study were strongly correlated with biomass (alpha < 0.01). The precision of the model for estimating biomass based on ground data and remote sensing was greater than 73%. Additionally, the results of our analysis indicated that the annual average biomass was 11.86 million tons and that the average yield was 604.5 kg/ha. The distribution of biomass exhibited substantial spatial heterogeneity, and the biomass decreased from the eastern portion of the study area to the western portion. The interannual biomass exhibited strong fluctuations during 2006-2012, with a coefficient of variation of 26.95%. The coefficient of variation of biomass differed among the grassland types. The highest coefficient of variation was found for the desert steppe, followed by the typical steppe and the meadow steppe.


英文关键词biomass vegetation index MODIS temperate grassland Xilingol
类型Article
语种英语
国家Peoples R China
收录类别SCI-E
WOS记录号WOS:000336092100028
WOS关键词NET PRIMARY PRODUCTIVITY ; ABOVEGROUND BIOMASS ; INNER-MONGOLIA ; VEGETATION INDEX ; DYNAMICS ; SATELLITE ; STEPPE ; RED
WOS类目Remote Sensing
WOS研究方向Remote Sensing
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/184656
作者单位1.China Acad Agr Sci, Key Lab Agriinformat, Minist Agr, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China;
2.Chinese Acad Sci, Inst Appl Ecol, Inst Agr Resources & Reg Planning, Shenyang 110016, Peoples R China;
3.Inner Mongolia Normal Univ, Geog Sci Coll, Hohhot 010022, Peoples R China
推荐引用方式
GB/T 7714
Jin, Yunxiang,Yang, Xiuchun,Qiu, Jianjun,et al. Remote Sensing-Based Biomass Estimation and Its Spatio-Temporal Variations in Temperate Grassland, Northern China[J],2014,6(2):1496-1513.
APA Jin, Yunxiang.,Yang, Xiuchun.,Qiu, Jianjun.,Li, Jinya.,Gao, Tian.,...&Xu, Bin.(2014).Remote Sensing-Based Biomass Estimation and Its Spatio-Temporal Variations in Temperate Grassland, Northern China.REMOTE SENSING,6(2),1496-1513.
MLA Jin, Yunxiang,et al."Remote Sensing-Based Biomass Estimation and Its Spatio-Temporal Variations in Temperate Grassland, Northern China".REMOTE SENSING 6.2(2014):1496-1513.
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