IGSNRR OpenIR
preliminaryanalysisofspatiotemporalpatternofgloballandsurfacewater
Cao Xin1; Chen Jun2; Chen Lijun2; Liao Anping2; Sun Fangdi3; Li Yang1; Li Lei4; Lin Zhonghui5; Pang Zhiguo6; Chen Jin1; He Chaoying2; Peng Shu2
2014
Source Publicationsciencechinaearthsciences
ISSN1674-7313
Volume57Issue:10Pages:2330
AbstractLand 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.
Language英语
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/119203
Collection中国科学院地理科学与资源研究所
Affiliation1.北京师范大学
2.National Geomatics Center of China
3.南京大学
4.吉林大学
5.中国科学院地理科学与资源研究所
6.China Institute of Water Resources and Hydropower Research
Recommended Citation
GB/T 7714
Cao Xin,Chen Jun,Chen Lijun,et al. preliminaryanalysisofspatiotemporalpatternofgloballandsurfacewater[J]. sciencechinaearthsciences,2014,57(10):2330.
APA Cao Xin.,Chen Jun.,Chen Lijun.,Liao Anping.,Sun Fangdi.,...&Peng Shu.(2014).preliminaryanalysisofspatiotemporalpatternofgloballandsurfacewater.sciencechinaearthsciences,57(10),2330.
MLA Cao Xin,et al."preliminaryanalysisofspatiotemporalpatternofgloballandsurfacewater".sciencechinaearthsciences 57.10(2014):2330.
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