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All Journal Journal of Environment and Sustainability The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Argo Galih Suhadha
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Earth & Planetary Sciences Energy Environmental Science

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Determination of Sentinel-2 spectral reflectance to detect oil spill on the sea surface Pingkan Mayestika Afgatiani; Fanny Aditya Putri; Argo Galih Suhadha; Andi Ibrahim
Sustinere: Journal of Environment and Sustainability Vol. 4 No. 3 (2020): pp. 144-223 (December 2020)
Publisher : Center for Science and Technology, IAIN Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22515/sustinere.jes.v4i3.115

Abstract

Oil spill is one of the most common marine environmental problems. Oil spills can be caused by leakage at oil refineries at sea or disposal of vessel waste. This event has an impact on various sectors, such as fisheries, tourism, and marine ecosystems. This study aims to determine the spectral reflectance of Sentinel-2 response to detecting oil spill on the sea. Oil identification in the sea can be made visually by looking at colored patterns at sea level. Sentinel-2 image reflectance was obtained by processing the image using the Google Earth Engine platform. The results were clipped according to the area of ​​interest and divided to get a value between 0 and 1. Bands combination is possible to identify the oil spill visually. The silvery pattern saw in the red-green-blue combination, but it is arduous to estimate its distribution because of the silvery pattern seen for thick oil. The combination of SWIR-NIR-red bands proved effective in showing the distribution of oil with a deep black pattern. Spectral measurements in the field were undertaken by taking samples in the areas of oil spills and clean water bodies. The oil layer had a lower reflectance than the clean water body. The blue band gave a high response, but the red band gave less response. In the NIR and SWIR bands, the reflectance of oil was lower than the water body. In conclusion, the SWIR - NIR - RED band combination is better used to determine oil spills due to it shows the characteristics of oil generally, either thin or thick oil.
ANALYSIS OF WATER PRODUCTIVITY IN THE BANDA SEA BASED ON REMOTE SENSING SATELLITE DATA Sartono Marpaung; Rizky Faristyawan; Anang Dwi Purwanto; Wikanti Asriningrum; Argo Galih Suhadha; Teguh Prayogo; Jansen Sitorus
International Journal of Remote Sensing and Earth Sciences Vol. 17 No. 1 (2020)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2020.v17.a3280

Abstract

This study examines the density of potential fishing zone (PFZ) points and chlorophyll-a concentration in the Banda Sea. The data used are those on chlorophyll-a from the Aqua MODIS satellite, PFZ points from ZAP and the monthly southern oscillation index. The methods used are single image edge detection, polygon center of mass, density function and a Hovmoller diagram. The result of the analysis show that productivity of chlorophyll-a in the Banda Sea is influenced by seasonal factors (dry season and wet season) and ENSO phenomena (El Niño and La Niña). High productivity of chlorophyll-a  occurs during in the dry season with the peak in August, while low productivity occurs in the wet season and the transition period, with the lowest levels in April and December. The variability in chlorophyll-a production is influenced by the global El Niño and La Niña phenomena; production increases during El Niño and decreases during La Niña. Tuna conservation areas have as lower productivity of chlorophyll-a and PFZ point density compared to the northern and southern parts of the Banda Sea. High density PFZ point regions are associated with regions that have higher productivity of chlorophyll-a, namely the southern part of the Banda Sea, while low density PFZ point areas are associated with regions that have a low productivity of chlorophyll-a, namely tuna conservation areas. The effect of the El Niño phenomenon in increasing chlorophyll-a concentration is stronger in the southern part of study area than in the tuna conservation area. On the other hand, the effect of La Niña phenomenon in decreasing chlorophyll-a concentration is stronger in the tuna conservation area than in the southern and northern parts of the study area.
Co-Authors Anang Dwi Purwanto Andi Ibrahim Fanny Aditya Putri Jansen Sitorus Pingkan Mayestika Afgatiani Rizky Faristyawan Sartono Marpaung Teguh Prayogo Wikanti Asriningrum