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Palabuhanratu Bay is a location in the southern part of Java Island with a high lobster population. Based on field observation, the lobster population in Palabuhanratu Bay is dominated by Panulirus homarus (green sand lobster), Panulirus versicolor (bamboo lobster), Panulirus penicillatus (black lobster), and Panulirus ornatus (pearl lobster). This study aimed to develop a spatial model using satellite-derived data to predict potential lobster harvest grounds in Palabuhanratu Bay. The Earth observational satellite data used were multispectral Landsat 8-SR imagery, and information about chlorophyll-a, salinity, total suspended solids (TSSs), sea surface temperature (SST), and distance from the coastline was extracted. Multiple linear regression was applied to build the prediction model, which was validated using 10-fold cross-validation. The result of the lobster harvest prediction model agreed with the root-mean-square error (RMSE) and adjusted R2 values of 0.326 and 0.708, respectively. The distribution of lobsters was strong at the following preferred ranges: chlorophyll-a: 1.1–1.7 mg/m3, salinity: 20.2–23.7 ppt, TSS: 40–56.4 mg/L, SST: 29.5–29.9 °C, and distance from the coastline: 500–4700 m. In this study, the habitats of four species of lobsters and their relationships with satellite-derived parameters were evaluated.

Remote sensing and geographic information systems can be applied to extract coastal and marine parameters related to the identification of possible data types, approaches and algorithms as a quick solution in water quality assessment. The purpose of this research are to find the suitable algorithms of salinity and total suspended solid for Palabuhanratu Bay and see the performance of Sentinel-2 satellite image in implementing algorithms based on Landsat satellite image. This study applies several algorithms to extract the estimated salinity and total solid suspended values from the Landsat 8 and Sentinel-2 satellite image using Google Earth Engine. The results of the analysis show algorithms that are suitable for implementation in the waters of Palabuhanratu Bay are the Cilamaya algorithm for estimating salinity values, and the Budhiman algorithm for estimating the total suspended solid value. Sentinel-2 satellite image has a good performance for implementing algorithms that built on Landsat image. So, the algorithm that build on Landsat image can be used to detect salinity and TSS in Sentinel-2 image.