Determination of green aboveground biomass in desert steppe using litter-soil-adjusted vegetation index
文献类型：期刊论文
| 作者 | Ren, Hongrui; Zhou, Guangsheng1,2 |
| 刊名 | EUROPEAN JOURNAL OF REMOTE SENSING
 |
| 出版日期 | 2014 |
| 卷号 | 47页码:611-625 |
| 关键词 | Green aboveground biomass desert steppe field spectrometry litter-soil-adjusted vegetation indices cellulose absorption index |
| DOI | 10.5721/EuJRS20144734 |
| 文献子类 | Article |
| 英文摘要 | Accurate estimation of green aboveground biomass in arid and semiarid grassland is essential for a variety of studies, such as sustainable grassland management, fire risk assessment, climate change, and environmental degradation. A great need exists for the establishment of robust method for estimating green aboveground biomass in arid and semiarid grassland due to the influences of soil background and litter. In the study, a new index (litter-soil-adjusted vegetation index, L-SAVI) was proposed to estimate green aboveground biomass in arid and semiarid grassland. The L-SAVI was also evaluated based on biomass and spectra in situ measurements in the desert steppe of Inner Mongolia. Results showed that, the performance of the new index was better than that of NDVI (normalized difference vegetation index), SAVI (soil-adjusted vegetation index), MSAVI (modified soil-adjusted vegetation index), OSAVI (optimised soil-adjusted vegetation index), TSAVI (transformed soil-adjusted vegetation index), ATSAVI (adjusted transformed soil-adjusted vegetation index), PVI (perpendicular vegetation index), GSAVI (green-adjusted vegetation index), and L-ATSAVI (litter-corrected ATSAVI) in our study site. The logic behind the L-SAVI was to enable the SAVI to be less sensitive to litter by incorporating the CAI (cellulose absorption index) in the SAVI. In conclusion, the L-SAVI is a suitable predictor for complementing existing vegetation indices on green aboveground biomass estimation in arid and semiarid grassland. |
| 学科主题 | Remote Sensing |
| 出版地 | ABINGDON |
| 电子版国际标准刊号 | 2279-7254 |
| WOS关键词 | NET PRIMARY PRODUCTIVITY ; CROP RESIDUE COVER ; GRASSLAND ECOSYSTEMS ; LANDSAT TM ; REFLECTANCE ; IMAGES ; CHINA ; AREA |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000347165500007 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 资助机构 | National Natural Science Foundation of China [41301053] ; Natural Science Foundation of Shanxi [2013021030-1] |
| 源URL | [http://ir.ibcas.ac.cn/handle/2S10CLM1/27257]  |
| 专题 | 植被与环境变化国家重点实验室 |
| 作者单位 | 1.Taiyuan Univ Technol, Coll Min Engn, Dept Sci & Technol Surveying & Mapping, Taiyuan 030024, Shanxi, Peoples R China 2.Chinese Acad Meteorol Sci, Beijing 100081, Peoples R China 3.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ren, Hongrui,Zhou, Guangsheng. Determination of green aboveground biomass in desert steppe using litter-soil-adjusted vegetation index[J]. EUROPEAN JOURNAL OF REMOTE SENSING,2014,47:611-625. |
| APA | Ren, Hongrui,&Zhou, Guangsheng.(2014).Determination of green aboveground biomass in desert steppe using litter-soil-adjusted vegetation index.EUROPEAN JOURNAL OF REMOTE SENSING,47,611-625. |
| MLA | Ren, Hongrui,et al."Determination of green aboveground biomass in desert steppe using litter-soil-adjusted vegetation index".EUROPEAN JOURNAL OF REMOTE SENSING 47(2014):611-625. |
入库方式： OAI收割
来源：植物研究所
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