Journal
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
Volume 57, Issue 10, Pages 7447-7459Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TGRS.2019.2913401
Keywords
Chlorophyll-a; column-integrated algal biomass; Lake Dianchi; meteorological factor; Ocean and Land Color Instrument (OLCI)
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Funding
- National Natural Science Foundation of China [41671340, 41701423, 41701412]
- National Key R&D Program of China [2017YFB0503902]
- Major Science and Technology Program for Water Pollution Control and Treatment [2017ZX07302003]
- Postgraduate Research and Practice Innovation Program of Jiangsu Province [KYCX18_1205]
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Traditional remote sensing observation can only derive chlorophyll-a concentration in surface water (Chla(surf)), which is insufficient for water quality monitoring or biogeochemical applications. In this paper, a column-integrated biomass (CIB) estimation algorithm was established in Lake Dianchi, China, and the CIB was estimated by Ocean and Land Color Instrument (OLCI) data from 2016 to 2018. First, the results show that the method is applicable to CIB estimation in nonbloom conditions [mean absolute percentage error (MAPE) = 10.55%, mean ratio (MR) = 0.996]. On the one hand, Chla(surf) could be estimated using a universal model of Chla (UMOC) estimation for case-II waters; on the other hand, CIB could be obtained from Chla(surf) according to the linear relationship between the Chla(surf) and CIB. Second, both the spatial and temporal variabilities of Chla(surf) are larger than those of CIB, which indicates that the biomass of the whole lake is relatively stable from day to day. During algal bloom periods, the CIB at nonbloom areas tends to decrease, suggesting that algae from nonbloom regions have migrated to bloom regions. Third, wind speed (WS) is the most critical meteorological factor affecting the water surface biomass, compared with other parameters. The average percentage of surface-to-total biomass in nonbloom conditions is about 7% when the WS is less than 2 m/s.
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