Physical waters suitability for floating net cages cultivation mapping using landsat 8 oli and worldview-2 imageries in part of Hurun Bay, Lampung Province, Indonesia

9th IGRSM International Conference and Exhibition on Geospatial & Remote Sensing

地球科学;计算机科学

Estigade, A.P.^1 ; Astuti, A.P.^1 ; Wicaksono, A.^1 ; Maitela, T.^1 ; Nadia, D.^1 ; Aziz, M.H.^1 ; Widyatmanti, W.^1

Department of Geographic Information Science, Faculty of Geography, Universitas Gadjah Mada, Yogyakarta

55281, Indonesia^1

关键词: Hurun Bay;    LANDSAT;    Suitability;    Total suspended solids;    Worldview-2;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/169/1/012070/pdf
DOI  :  10.1088/1755-1315/169/1/012070

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Marine aquaculture has become an important contribution in sustainable world food provision. Sumatra, Indonesia contribute significantly on marine aqua production through intensive floating net cages development which has been long become a source of marine products in domestic and international markets. However, less research conducted on the water quality suitability in this region due to its vast areas and costly water analysis. This research aims: 1) to identify the appropriate spatial resolution between Landsat 8 OLI and Worldview-2 imageries to obtain the chlorophyll-α parameter and total suspended solid data; and 2) to perform spatial analysis to determine the suitable area for floating net cages using remote sensing and GIS for decreasing the analysis cost. The research area is located in Hurun Bay, the southwestern part of Lampung Bay. Biophysical factors considered for the suitability of floating net cages are: water clarity, temperature, salinity, pH, water depth, total suspended solid, and chlorophyll-α, which were obtained from remote sensing imagery and field measurement data. Each parameter value is described based on the level of suitability for a floating net cage. The final map is determined using a weighted overlay approach on all parameters. Biophysical factor data measured were sampled using systematic sampling method. The result shows that Landsat 8 OLI imagery is more appropriately applied in the research area compared to Worldview-2 imagery according to the analyses of correlation, regression, and accuracy assessment. Most of the floating net cages (28.8%) in the research area were classified as conditionally suitable meaning that the research area is less potential for cultivation and thus requires special treatment to improve its capability. The used of remote sensing and GIS approach perform good synoptic overview on the research area and provide multi-temporal data for better analysis on different seasons effectively. The floating net cages cultivation suitability mapping delivered in this research provides powerful data for coastal water planning decision makers.