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A 30-Year Assessment of Phytoplankton Blooms in Erhai Lake Using Landsat Imagery: 1987 to 2016

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WOS被引频次:2
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成果类型:
期刊论文
作者:
Tan, Wenxia;Liu, Pengcheng;Liu, Yi;Yang, Shao;Feng, Shunan
通讯作者:
Tan, WX
作者机构:
[Feng, Shunan; Liu, Pengcheng; Tan, Wenxia] Key Laboratory for Geographical Process Analysis and Simulation of Hubei Province, Central China Normal University, Wuhan, 430079, China
[Feng, Shunan; Liu, Pengcheng; Tan, Wenxia] College of Urban and Environmental Sciences, Central China Normal University, Wuhan, 430079, China
[Yang, Shao; Liu, Yi] School of Life Sciences, Central China Normal University, Wuhan, 430079, China
通讯机构:
[Tan, Wenxia] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Hubei, Peoples R China.
[Tan, Wenxia] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Hubei, Peoples R China.
语种:
英文
关键词:
Algal blooms - Chlorophyll a - LANDSAT - Phytoplankton bloom - Surface reflectance
期刊:
REMOTE SENSING
ISSN:
2072-4292
年:
2017
卷:
9
期:
12
文献类别:
WOS:Article;EI:Journal article (JA)
所属学科:
ESI学科类别:地球科学;WOS学科类别:Remote Sensing
入藏号:
WOS:000419235700061;EI:20175104560317
基金类别:
National Natural Science Foundation of China [41506208, 31670464]
机构署名:
本校为第一且通讯机构
院系归属:
城市与环境科学学院
生命科学学院
摘要:
Long-term information of phytoplankton bloom is critical for assessing the processes driving blooms in lakes. A three-decade survey of the phytoplankton blooms was completed for Erhai Lake from 1987 to 2016 with Landsat imagery. A modified three-band model using Landsat broad bands is developed by comparing reflectance data from Landsat imagery to two field datasets. The model is applied to the archived imagery (1987-2016) to predict chlorophyll-a (Chl-a). Predicted ln(Chl-a) and observed ln(Chl-a) measurements are significantly correlated (R<sup>2</sup>= 0.70;RMSE = 0.13 ug/L). Bloom maps are generated by identifying Landsat pixels that have Chl-a concentrations larger than 20 ug/L as bloom area. Bloom extent and magnitude are estimated. Our study reveals that algal blooms first occurred in 1996 with a bloom area of 150 km<sup>2</sup>. Bloom occurred frequently from 2002 to 2016, with extreme blooms in 2003, 2013 and 2016. Algal blooms were mostly distributed in the northern and southern part of the lake. The proposed method uses one model for all Landsat images for Erhai Lake and can predict past blooms and extend the record to early years when field data is not available. The bloom extent and magnitude produced in this study can be used as the basis for the understanding of the processes that control the bloom outbreak.<br/> &copy;2017 by the author.
参考文献:
Allan MG, 2015, ENVIRON MONIT ASSESS, V187, DOI 10.1007/s10661-015-4585-4
Bonansea M, 2015, REMOTE SENS ENVIRON, V158, P28, DOI 10.1016/j.rse.2014.10.032
Bricaud A, 2004, J GEOPHYS RES-OCEANS, V109, DOI 10.1029/2004JC002419
Brivio PA, 2001, SCI TOTAL ENVIRON, V268, P3, DOI 10.1016/S0048-9697(00)00693-8
Cai Y., 2013, ADV GEOSCI, V3, P241

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