Oil spill mapping using multi-sensor Sentinel data in Balikpapan Bay, Indonesia

被引：0

作者：

Setiani, Putri ^{[1
]}

Ramdani, Fatwa ^{[2
]}

机构：

[1] Brawijaya Univ, Fac Agr Engn, Environm Engn, Malang, Indonesia

[2] Brawijaya Univ, Fac Comp Sci, Geoinformat Res Grp, Malang, Indonesia

来源：

2018 4TH INTERNATIONAL SYMPOSIUM ON GEOINFORMATICS (ISYG) | 2018年

关键词：

oil spill; Sentinel; Balikpapan Bay;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Oil spill is one of major environmental problem. The event often followed by deterioration of environmental quality, serious pollution problem and destruction of wildlife habitat in the surrounding of the coastal area. A reliable method to map and monitor the oil spill event become a crucial measure to determine the effective contingency plan. In this work, we examine the spreading and movement of the oil spill in Balikpapan Bay that was occurred on April 2018, using multi-sensor Sentinel data which are provided openly by the European Space Agency. Combination of data from Sentinel 1 and Sentinel 2 are used to classify the oil slick occurrence on the ocean's surface. Using both 1) Synthetic Aperture Radar (SAR) technique for the data from Sentinel 1B and 2) modified moisture index for optical sensor data from Sentinel 2A-2B, we confirm consistent detection of the oil slick at the observed area.

引用

页数：4