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A 30-year assessment of phytoplankton blooms in erhai lake using landsat imagery: 1987 to 2016

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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, Wenxia
作者机构:
[Feng, Shunan; Tan, Wenxia; Liu, Pengcheng] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Hubei, Peoples R China.
[Feng, Shunan; Tan, Wenxia; Liu, Pengcheng] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Hubei, Peoples R China.
[Yang, Shao; Liu, Yi] Cent China Normal Univ, Sch Life Sci, Wuhan 430079, Hubei, Peoples R China.
通讯机构:
[Tan, Wenxia] C
Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Hubei, Peoples R China.
Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Hubei, Peoples R China.
语种:
英文
关键词:
Algal bloom;Chlorophyll-a;Landsat;Phytoplankton bloom;Surface reflectance
期刊:
Remote Sensing
ISSN:
2072-4292
年:
2017
卷:
9
期:
12
页码:
1265
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [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 (R2= 0.70;RMSE = 0.13 ug/L). Bloom maps are generated ...

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