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- W4249474539 abstract "The mapping of seagrass aims to see the changes that occurred from 2008 to 2019 and also compare the accuracy both of method image interpretation of seagrass object. The method are use to detect seagrass is the supervised classification method and the lyzenga logarithm method. The supervised classification method uses the spectral value sensitivity each pixel of seagrass objects and the lyzenga logarithm method using attenuation coefficients based on sharpening the spectral values of pixels to a certain depth to increase the reflected values of seagrass objects. The results of the interpretation showed that there were significant changes in the area of seagrass from 2008 to 2013 and 2013 to 2019. The supervised classification method detected a widespread decline from 2013 to 2019 as much as 19.16 Ha. The lyzenga logarithmic method detects the same changes but with different techniques until it is identified a decrease in seagrass area from 2013 to 2019 covering an area of 9.31 ha. Both of methods are used is different and the lyzenga logarithm method is the most suitable method for detecting seagrass in Nirwana Beach, Padang City." @default.
- W4249474539 created "2022-05-12" @default.
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- W4249474539 date "2019-07-31" @default.
- W4249474539 modified "2023-10-17" @default.
- W4249474539 doi "https://doi.org/10.24036/student.v3i4.511" @default.
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