Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/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
![]() |
ISSN | 2072-4292 |
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. |
条目包含的文件 | 条目无相关文件。 |
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。