Identifications of Increase, Distribution Pattern, and Density Level of Sedimentation Using Landsat 7 Satellite Images in the Coastal Area of Cirebon City Thobibie(a), Yackob Astor(b*), Hendra Julianto(c)
a) Department of Geodetic & Geomatica, National Institute of Technology No. 23 PH.H.Mustofa Street, 40124 Bandung, Indonesia.
b*) Marine Cadastre Researcher, Bandung State Polytechnic. Gegerkalong Hilir Street, 40012 Bandung, Indonesia. yackobastor[at]polban.ac.id
c) Department of Civil Engineering, Kaltara University. Tanjung Selor, Bulungan, Kalimantan Utara, Indonesia
Abstract
Sedimentation at coastal city of Cirebon is caused by considerable abration process in Indramayu regency and the impact of sand mining on Gosong Island, Indramayu Regency, beside that, the habit of residents in coastal city of Cirebon who heap up garbage at the coastal for years to utilize the area for residential purpose also contributed significantly the problem of sedimentation in the coastal area of Cirebon City. This research applying remote sensing technology of Landsat 7 2005, 2007, 2010, and 2015 using Lemigas Algorithm to gain information of special and temporal increase of sedimentation, distribution pattern, and density level of sedimentation. The result shows that accretion of sedimentation process between 2005 and 2015 at Lemahwungkuk Subdistrict is 56,989 Ha with a sedimentation rate of 5,699 Ha/year. Kejaksan Subdistrict has increase sedimentation by 16,491 Ha with a sedimentation rate of 1,649 Ha/year. The most significant increase happened at 2010 to 2015, with 46,072 Ha. However, from 2005 to 2010 the sedimentation increased by 5,675 Ha. There are 2 types of distribution pattern at Cirebon City, the first one is the sedimentation that ends in the estuary of river, particularly at Sukalila and Kesunean River deltas. The other type is the sedimentation caused by the presence of longshore currents which carry sediment and stuck on the coast along coastal city of Cirebon. Identification of natural and artificial sedimentation is carried out based on surveys in the field. The Lemigas Algorithm used only for classification of sedimentation (natural and artificial) based on density level of sedimentation content (mg/L).
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