Preliminary analysis of spatiotemporal pattern of global land surface water
文献类型：SCI/SSCI论文
| 作者 | Li Y.; Chen J.; Li Y. |
| 发表日期 | 2014 |
| 关键词 | global land surface water water area water ratio spatial distribution pattern fluctuation classification resources |
| 英文摘要 | Land surface water (LSW) is one of the most important resources for human survival and development, and it is also a main component of global water recycling. A full understanding of the spatial distribution of land surface water and a continuous measuring of its dynamics can support to diagnose the global ecosystem and environment. Based on the Global Land 30-water 2000 and Global Land 30-water 2010 products, this research analyzed the spatial distribution pattern and temporal fluctuation of land surface water under scale-levels of global, latitude and longitude, continents, and climate zones. The Global Land 30-water products were corrected the temporal inconsistency of original remotely sensed data using MODIS time-series data, and then calculated the indices such as water area, water ration and coefficient of spatial variation for further analysis. Results show that total water area of land surface is about 3.68 million km(2) (2010), and occupies 2.73% of land area. The spatial distribution of land surface water is extremely uneven and is gathered mainly in mid- to high-latitude area of the Northern Hemisphere and tropic area. The comparison of water ratio between 2000 and 2010 indicates the overall fluctuation is small but spatially differentiated. The Global Land 30-water products and the statistics provided the fundamental information for analyzing the spatial distribution pattern and temporal fluctuation of land surface water and diagnosing the global ecosystem and environment. |
| 出处 | Science China-Earth Sciences |
| 卷 | 57 |
| 期 | 10 |
| 页 | 2330-2339 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 1674-7313 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/29959]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Li Y.,Chen J.,Li Y.. Preliminary analysis of spatiotemporal pattern of global land surface water. 2014. |
入库方式： OAI收割
来源：地理科学与资源研究所
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