Modeling grassland aboveground biomass using a pure vegetation index
文献类型：期刊论文
| 作者 | Li, Fei1; Zeng, Yuan1; Luo, Juhua1; Ma, Ronghua1; Wu, Bingfang1 |
| 刊名 | Ecological Indicators
 |
| 出版日期 | 2016 |
| 卷号 | 62页码:279-288 |
| 关键词 | SOIL THERMAL DYNAMICS LAND-COVER CHANGE GLOBAL CLIMATE CARBON BALANCE ARCTIC TUNDRA SNOW-COVER MODEL SYSTEM 20TH-CENTURY ALASKA |
| 通讯作者 | Li, Fei (fli@niglas.ac.cn) |
| 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. © 2015 Elsevier Ltd. All rights reserved. |
| 学科主题 | Biodiversity & Conservation; Environmental Sciences & Ecology |
| 类目[WOS] | Biodiversity Conservation ; Environmental Sciences |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20155001663389 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39429]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1. Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China 2. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China 3. China Land Surveying and Planning Institute, Key Laboratory of Land Use, Ministry of Land and Resources, Beijing, 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]. Ecological Indicators,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. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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