Comparison of Chlorophyll-A measurement using multi spatial imagery and numerical model in Bali Strait

One of abundance of nutrient in coastal area is chlorophyll-a, where chlorophyll-A is a driving factor to derive fishing ground location. There's several method has been used to derive chlorophyll-A concentration from insitu data, remote sensing satellite data, and ocean dynamics models, but we are not decide those data for certain area in coastal area and open ocean. In this paper, we will use Aqua-Terra MODIS, Landsat -8 and INDESO Satellite observation dataset to detect chlorophyll-A and also using dynamic modelling produced by INDESO and MyOcean/Marine Copernicus. Using a lot variation of data to understand the differences of spatial resolution and accuracy with observed insitu data. After calculating data comparison with insitu data in bali strait on 2014, we can conclude that Landsat-8 data has the highest r value r=0.41. For model data, comparison between insitu data and MyOcean data has r=0.3. in the other hand, insitu data and INDESO data model has r=0.26. In coastal areas (case 2 water), Landsat-8 data performed to give detail information of chlorophyll-a. Furthermore for open ocean areas (case 1 water), we can use numerical model from MyOcean/Marine Copernicus because it has lower resolution and able to forecast. For those data, it can help non artisanal fisheries to predict chlorophyll-A area in their fishing ground areas.