Spatio-Temporal Distribution of Chlorophyll-a Using Multitemporal Landsat Image and Ground Check in Segara Anakan Lagoon

¹ Coastal Resources Management Doctoral Program, Fisheries and Marine Science Department, Diponegoro University
² Departement of Oceanography, Fisheries and Marine Science Department, Diponegoro University
³ Fisheries and Marine Science Department, Jenderal Soedirman University
⁴ Centre of Excellent Mitigation of Natural Disaster and Coastal Rehabilitation, Diponegoro University
⁵ Fisheries and Marine Science Department, Diponegoro University

¹ Corresponding author: rose.83unsoed@gmail.com

Abstract

Segara Anakan lagoon (SAL) is a dynamic estuary, downstream of several rivers in Citanduy watershed, humid tropical climate and influenced monsoon, conditions that cause waters to fluctuate. There are influence of natural and anthropogenic factors that impact on the increase of aquatic organic matter, as phytoplankton indicator biota able to show its tolerance characterized by fluctuation of chlorophyll content a. The purpose of this research is to know the spatio-temporal distribution of chlorophyll- a SAL region. The chlorophyll- a measurement method uses multitemporal landsat images and field measurements. The temporal approach (time series) during 2016 refers to the monsoon wind pattern and spatially on seven different stations of ecological characteristics. Data processing using ER Mapper 7.0 software and the preparation of thematic data with Arc GIS software. Testing data accuracy using regression analysis. The results of chlorophyll-a recording of landsat images ranged from 3,213 - 3,703 (mg / m³) and field measurements from 0.01 to 5.06 (mg / m³). Temporally transitional seasons and on spatial approaches, stations with anthropogenic characteristics have the highest chlorophyll content. The condition is supported by the accumulation of aquatic organic materials, high rainfall and upwelling phenomenon. Test of accuracy pertained high, shown with value of r = 0,94 at equation y = -30.07x² + 217.0x - 387.0, R² = 0.894 with regression characteristic is polynomial. The high accuracy value in the equation, shows that the SAL area algorithm can be applied to obtain chlorophyll content data in the field in the previous year with the support of satellite image data in that year.