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DOI | 10.1088/1748-9326/aba46f |
Satellite and airborne remote sensing of gross primary productivity in boreal Alaskan lakes | |
Kuhn C.; Bogard M.; Johnston S.E.; John A.; Vermote E.; Spencer R.; Dornblaser M.; Wickland K.; Striegl R.; Butman D. | |
发表日期 | 2020 |
ISSN | 17489318 |
卷号 | 15期号:10 |
英文摘要 | In terrestrial and marine ecosystems, remote sensing has been used to estimate gross primary productivity (GPP) for decades, but few applications exist for shallow freshwater ecosystems.Here we show field-based GPP correlates with satellite and airborne lake color across a range of optically and limnologically diverse lakes in interior Alaska. A strong relationship between in situ GPP derived from stable oxygen isotopes (δ18O) and space-based lake color from satellites (e.g. Landsat-8, Sentinel-2 and CubeSats) and airborne imagery (AVIRIS-NG) demonstrates the potential power of this technique for improving spatial and temporal monitoring of lake GPP when coupled with additional field validation measurements across different systems. In shallow waters clear enough for sunlight to reach lake bottoms, both submerged vegetation (macrophytes and algae) and phytoplankton likely contribute to GPP. The stable isotopes and remotely sensed shallow lake color used here integrate both components. These results demonstrate the utility of lake color as a feasible means for mapping lake GPP from remote sensing. This novel methodology estimates GPP from remote sensing in shallow lakes by combining field measurements of oxygen isotopes with airborne, satellite and CubeSat imagery. This use of lake color for providing insight into ecological processes of shallow lakes is recommended, especially for remote arctic and boreal landscapes. © 2020 The Author(s). Published by IOP Publishing Ltd. |
英文关键词 | boreal; freshwater ecosystems; Google Earth Engine; gross primary productivity; lake color; Landsat-8; remote sensing; Sentinel-2; shallow lakes |
语种 | 英语 |
scopus关键词 | Color; Ecosystems; Image enhancement; Isotopes; Lakes; Marine applications; Oxygen; Photosynthesis; Phytoplankton; Satellite imagery; Small satellites; Space optics; Airborne remote sensing; Ecological process; Field measurement; Gross primary productivity; Novel methodology; Shallow freshwater; Stable oxygen isotopes; Submerged vegetation; Remote sensing; airborne sensing; Landsat; oxygen isotope; primary production; satellite data; Sentinel; stable isotope; Alaska; United States; algae |
来源期刊 | Environmental Research Letters
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/153682 |
作者单位 | Department of Forestry and Environmental Science, University of Washington, 4000 15th Avenue NE, Seattle, WA 98195-2100, United States; Florida State University, Tallahassee, United States; Department of Biology, University of Washington, Seattle, WA, United States; Nasa Goddard Space Flight Center, Gsfc Code 619, Greenbelt, MD 20771, United States; U.S. Geological Survey, Boulder, United States; Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, United States |
推荐引用方式 GB/T 7714 | Kuhn C.,Bogard M.,Johnston S.E.,et al. Satellite and airborne remote sensing of gross primary productivity in boreal Alaskan lakes[J],2020,15(10). |
APA | Kuhn C..,Bogard M..,Johnston S.E..,John A..,Vermote E..,...&Butman D..(2020).Satellite and airborne remote sensing of gross primary productivity in boreal Alaskan lakes.Environmental Research Letters,15(10). |
MLA | Kuhn C.,et al."Satellite and airborne remote sensing of gross primary productivity in boreal Alaskan lakes".Environmental Research Letters 15.10(2020). |
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