首页|Cyanobacteria Dataset of Random Forest Algorithm for Satellite Monitoring in Taihu Lake(2019)
Cyanobacteria Dataset of Random Forest Algorithm for Satellite Monitoring in Taihu Lake(2019)
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NETL
NSTL
万方数据
The cyanobacteria are essential and important factors for water resource management in Taihu Lake.The cyanobacteria dataset in Taihu Lake(2019)was developed using the GF-6 satellite images,integrated with the random forest method based on multiple remote sensing factors(Normalized Difference Vegetation Index and Normalized Difference Water Index).The dataset was validated using overall classification accuracy,Kappa coefficient,producer accuracy,user accuracy,misclassification error,and omission error.The validation results showed that the mean of overall classification accuracy and Kappa coefficient for this dataset reached 0.97 and 0.95,respectively.The dataset includes cyanobacteria distribution data from May to December in 2019 for six periods.The spatial resolution of the dataset is 20 meters.The dataset is archived in.tif format,consisting of 6 data files with data size of 0.98 MB(compressed into 1 file with 601 KB).The research paper based on the dataset was published in Journal of Lake Sciences,Vol.34,No.6,2022.
NETL
NSTL
万方数据
