Remote sensing recognition, concentration classification and dynamic analysis of cyanobacteria bloom in Dianchi Lake based on MODIS data

This paper discusses the issues about the cyanobacteria bloom identification and monitoring methods based on MODIS satellite images of Dianchi Lake. Through a comparative analysis of the spectral characteristics on typical surface features (clean water, muddy water, vegetation and cyanobacteria) and...

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Bibliographic Details
Main Authors: Meie Pan, Kun Yang, Xudong Zhao, Quanli Xu, Shuangyun Peng, Liang Hong
Format: Conference Proceeding
Language:English
Subjects:
concentration classification
Cyanobacteria bloom
Dianchi Lake
dynamic analysis
EVI
MODIS
NDVI
remote sensing identification
RVI
Online Access:Request full text
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Summary:This paper discusses the issues about the cyanobacteria bloom identification and monitoring methods based on MODIS satellite images of Dianchi Lake. Through a comparative analysis of the spectral characteristics on typical surface features (clean water, muddy water, vegetation and cyanobacteria) and different concentration of cyanobacteria bloom covering over the water surface of Dianchi Lake, we can get the response sensitive bands information of cyanobacteria bloom. We can also extract the spatial distribution and divide the concentration classification threshold of cyanobacteria bloom in Dianchi Lake by using false color synthesis (MODIS:6-2-1) method, single-band method, ratio vegetation index (RVI) method, normalized difference vegetation index (NDVI) method, enhanced vegetation index (EVI) method. At the same time, we can analyse the dynamic process about cyanobacteria bloom through multitemporal remote sensing images and difference operation.
ISSN:2161-024X
DOI:10.1109/Geoinformatics.2012.6270331