globalchange  > 气候减缓与适应
DOI: 10.1002/2014GL060641
论文题名:
A global inventory of lakes based on high-resolution satellite imagery
作者: Verpoorter C.; Kutser T.; Seekell D.A.; Tranvik L.J.
刊名: Geophysical Research Letters
ISSN: 0094-9795
EISSN: 1944-9526
出版年: 2014
卷: 41, 期:18
起始页码: 6396
结束页码: 6402
语种: 英语
英文关键词: global inventory ; lake ; remote sensing ; size distribution
Scopus关键词: Extrapolation ; Lakes ; Remote sensing ; Size distribution ; Biogeochemical process ; Combined surface ; Global carbon cycle ; Global inventories ; High resolution satellite imagery ; Statistical extrapolations ; Surface area ; Total surface area ; Satellite imagery ; biogeochemical cycle ; carbon cycle ; image resolution ; lake ; limnology ; morphometry ; remote sensing ; satellite imagery ; size distribution
英文摘要: An accurate description of the abundance and size distribution of lakes is critical to quantifying limnetic contributions to the global carbon cycle. However, estimates of global lake abundance are poorly constrained. We used high-resolution satellite imagery to produce a GLObal WAter BOdies database (GLOWABO), comprising all lakes greater than 0.002 km2. GLOWABO contains geographic and morphometric information for ~117 million lakes with a combined surface area of about 5 × 106 km2, which is 3.7% of the Earth's nonglaciated land area. Large and intermediate-sized lakes dominate the total lake surface area. Overall, lakes are less abundant but cover a greater total surface area relative to previous estimates based on statistical extrapolations. The GLOWABO allows for the global-scale evaluation of fundamental limnological problems, providing a foundation for improved quantification of limnetic contributions to the biogeochemical processes at large scales. Key Points Earth has 117 million lakes > 0.002 km2Large and intermediate lakes dominate the total surface area of lakesPower law-based extrapolations do not adequately estimate lake abundance ©2014. The Authors.
URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84907973172&doi=10.1002%2f2014GL060641&partnerID=40&md5=3cda273981915d8cb3238c14882697e2
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/7059
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作者单位: INSU-CNRS, UMR 8187, Université du Littoral Cote d'Opale, ULCO, Wimereux, France

Recommended Citation:
Verpoorter C.,Kutser T.,Seekell D.A.,et al. A global inventory of lakes based on high-resolution satellite imagery[J]. Geophysical Research Letters,2014-01-01,41(18).
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