REMOTE SENSING CUM MULTIVARIATE STATISTICAL ANALYSIS APPLICATION TO FISH CATCH DISTRIBUTION MAPPING USING SEASONAL CHLOROPHYLL-A CONCENTRATION AND SEA SURFACE TEMPERATURE IN CARMEN, AGUSAN DEL NORTE, PHILIPPINES

摘要

Analysis on the relationship of chlorophyll-a and sea surface temperature helps us understand the distribution of fish species in the sea. Remotely-sensed data provide great alternatives in understanding these characteristics. Normalized fishing season map of chlorophyll-a concentration and sea surface temperature derived from a regression model converting Landsat 8 OLI image reflectance and radiance, around the municipal water of Carmen, Agusan del Norte were used to estimate the distribution of small pelagic fish species in relation to the seasonal variation of chlorophyll-a concentration and sea surface temperature. Participatory mapping with local fisher folks was conducted and fishing grounds were located where each fish catch were observed and recorded. Using the normalized fishing season for December, January and February (DJF), chlorophyll-a map, and sea surface temperature map, each fishing grounds were analyzed and it shows that the chlorophyll-a concentration of each point varies from 0.4 mg/m~3 to 0.6 mg/m~3 and its corresponding sea surface temperature varies from 20°C to 20.5 °C. Using multivariate statistical analysis (MSA), fishing grounds were classified based on their similarities and dissimilarities and a regression model was developed based on the values of chlorophyll-a and sea surface temperature. Out of seven species, only two resulted into an R~2 ＞ 0.50. Each equation were employed in estimating the catch distribution of the two fish species.