Derivation of the green vegetation fraction of the whole China from 2000 to 2010 from MODIS data
文献类型：期刊论文
| 作者 | Li, Xiaosong; Zhang, Jin |
| 刊名 | Earth Interactions
 |
| 出版日期 | 2016 |
| 卷号 | 20期号:8页码:1-16 |
| 关键词 | TEXTURE CLASSIFICATION BAYESIAN-APPROACH SIGNAL RECOVERY WAVELET SELECTION PURSUIT FIELDS |
| 通讯作者 | Li, Xiaosong (lixs@radi.ac.cn) |
| 英文摘要 | The green vegetation fraction Fg, which represents the horizontal density of live vegetation, is an important parameter for the study of global energy, carbon, hydrological, and biogeochemical cycling. A common method of calculating Fg is to create a simple linear mixing model between two NDVI endmembers: bare soil NDVI, NDVI0, and full vegetation NDVI, NDVI∞. However, many uncertainties exist for the determination of these parameters at large scales. The present study investigates how NDVI∞and NDVI0determination can impact Fg calculations for all of China, based on different land-cover datasets, hyperspectral data, and soil type classification maps. The results show the following: 1) The regional ChinaCover dataset, with higher accuracy and more detailed classification, is preferable for calculating Fg in China, compared with the most commonly used MOD12Q1 dataset, although it would not lead to too much difference in NDVI∞values. 2) The soil NDVI from Hyperion datasets shows that soils have highly variable NDVI values (0.006– 0.2), and 79.36% of the area studied has a much larger NDVI value than the commonly used value of 0.05. Therefore, the dynamic NDVI0values with different soil types are much better for Fg calculation than the invariant NDVI0value (0.05), which would yield a significant overestimation of Fg, especially for areas with low vegetation coverage. 3) A high-quality Fg dataset for China from 2000 to 2010 was established with NDVI∞and NDVI0parameters based on MOD13Q1 250-m NDVI data. © 2016. |
| 学科主题 | Geology |
| 类目[WOS] | Geosciences, Multidisciplinary |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20161102083604 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39358]  |
| 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 | Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China |
| 推荐引用方式 GB/T 7714 | Li, Xiaosong,Zhang, Jin. Derivation of the green vegetation fraction of the whole China from 2000 to 2010 from MODIS data[J]. Earth Interactions,2016,20(8):1-16. |
| APA | Li, Xiaosong,&Zhang, Jin.(2016).Derivation of the green vegetation fraction of the whole China from 2000 to 2010 from MODIS data.Earth Interactions,20(8),1-16. |
| MLA | Li, Xiaosong,et al."Derivation of the green vegetation fraction of the whole China from 2000 to 2010 from MODIS data".Earth Interactions 20.8(2016):1-16. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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