Publication

The purpose of this study was to analyze the distribution dynamics and TSS concentrations based on four different seasons and different years for five years. Image processing of TSS included Correction with Dark Object Substraction and Atmospheric correction method, and Syarif Budhiman algorithm used to extract TSS. The image processing of coastal ecosystem was composed

Characteristics of corals spectral from different species are expected to have optically different characters. The aims of this research are to compare unsupervised classification between IsoData and K-Means methods with Lyzenga application, and to analyze the precision of SPOT-6 and Sentinel-2A satellite imagery in classsifying shallow water habitat. The image processing are atmosferic correction, cropping,

Lyzenga’s multispectral bathymetry formula has attracted considerable interest due to its simplicity. However, there has been little discussion of the effect that variation in optical conditions and bottom typesdwhich commonly appears in coral reef environmentsdhas on this formula’s results. The present paper evaluates Lyzenga’s multispectral bathymetry formula for a variety of optical conditions and bottom

Climate change poses significant challenges to seaweed farming, particularly in South Sulawesi, where seasonal variations influence the production dynamics. This study examined the impact of climate variability on Kappaphycus alvarezii seaweed farming by analyzing production trends across four key seasons: the west monsoon, east monsoon, transition from east to west monsoon,and transition from west to