Remote sensing of brine shrimp cysts in salt lakes
Remote sensing of brine shrimp cysts in salt lakes
复制标题
盐湖丰年虾包囊遥感
DOI:
10.1016/j.rse.2021.112695
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发表时间:
2021-12
影响因子:
13.5
通讯作者:
Chuanmin Hu
中科院分区:
文献类型:
--
作者:
Lin Qi;Yao Yao;David E. English;Ronghua Ma;John Luftc;Chuanmin Hu
Using laboratory and field experiments as well as spectral analysis of satellite images, we demonstrate that surface aggregations of brine shrimp (Artemia) cysts (BSC) in salt lakes can be identified unambiguously in satellite imagery. This is because of the unique reflectance spectral shapes of the BSC image slicks, where a sharp and monotonic increase in reflectance is found at wavelengths >550 nm and two inflection points are found around ~550 nm and ~ 650 nm. Such spectral characteristics differentiate BSC slicks from other floating matters. Based on this principle, a deep learning model is developed to extract BSC features from MERIS (Medium Resolution Imaging Spectrometer, 2002–2012) and OLCI (Ocean and Land Color Instrument, 2016 - present) satellite images to quantify BSC abundance, spatial distribution patterns, and their temporal changes in the Great Salt Lake (GSL), the world's largest contributor of BSC commercial products. A clear seasonality is found in BSC abundance, with the primary peak in April – May and secondary peak in October – November. The two peaks may be explained by food availability to brine shrimp. The inter-annual variability and the recent increasing trend in BSC abundance, on the other hand, are difficult to explain by fluctuations in wind, temperature, or salinity, while recent increase in commercial harvest does not appear to be associated with the variability in BSC abundance estimated by satellites. Because many salt lakes around the world, for example the Aral Sea, Lake Urmia, and the Dead Sea, also show BSC slicks in satellite imagery, this study suggests that it is possible to perform a systematic evaluation of BSC abundance and possibly brine shrimp populations in all major salt lakes, especially under a changing climate and increased human activities.
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DOI:
10.1002/eap.1864
发表时间:
2019-04
期刊:
Ecological applications : a publication of the Ecological Society of America
影响因子:
--
作者:
G. Belovsky;W. C. Perschon
通讯作者:
G. Belovsky;W. C. Perschon
影响因子:
8.2
作者:
B. Barnes;Chuanmin Hu;S. Bailey;B. Franz
通讯作者:
B. Barnes;Chuanmin Hu;S. Bailey;B. Franz
DOI:
10.1109/tgrs.2006.882258
发表时间:
2006-12-01
影响因子:
8.2
作者:
Gower, Jim;Hu, Chuanmin;King, Stephanie
通讯作者:
King, Stephanie
影响因子:
6.6
作者:
Lin Qi;Chuanmin Hu
通讯作者:
Lin Qi;Chuanmin Hu
影响因子:
2.7
作者:
G. Belovsky;D. Stephens;C. Perschon;P. Birdsey;Don S. Paul;D. Naftz;R. Baskin;Chad A. Larson;Chad Mellison;John Luft;Ryan Mosley;Heidi K. Mahon;J. V. Leeuwen;D. Allen
通讯作者:
G. Belovsky;D. Stephens;C. Perschon;P. Birdsey;Don S. Paul;D. Naftz;R. Baskin;Chad A. Larson;Chad Mellison;John Luft;Ryan Mosley;Heidi K. Mahon;J. V. Leeuwen;D. Allen