ESTIMATION AND ANALYSIS OF TURBIDITY USING SATTELITE AND HYDROCOLOR: STUDY CASE CIREBON WATERS

Turbidity is an optical property of water that measures the reduction in light intensity in the water column. Cirebon City is one of the fisheries centers in Indonesia which has a composition of 20 species of fish and changes in turbidity can result in a decrease in fish composition, a decrease in t...

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Main Author: Haidar Dzar Al Ghifari, Khalid
Format: Theses
Language:Indonesia
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Online Access:https://digilib.itb.ac.id/gdl/view/56476
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:56476
spelling id-itb.:564762021-06-22T14:23:37ZESTIMATION AND ANALYSIS OF TURBIDITY USING SATTELITE AND HYDROCOLOR: STUDY CASE CIREBON WATERS Haidar Dzar Al Ghifari, Khalid Angkutan air, udara & ruang angkasa Indonesia Theses Cirebon Waters, HydroColor, Landsat 8 OLI, Turbidity INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/56476 Turbidity is an optical property of water that measures the reduction in light intensity in the water column. Cirebon City is one of the fisheries centers in Indonesia which has a composition of 20 species of fish and changes in turbidity can result in a decrease in fish composition, a decrease in the level of primary productivity of the waters and fish’s ability to eat. Field survey was conducted to obtain observational turbidity and HydroColor data. HydroColor is a mobile application that can be used to obtain turbidity data. In addition, Landsat 8 OLI imagery was used to obtain the distribution of water turbidity. The purpose of this research is to estimate the turbidity using HydroColor application and satellite imagery, as well as to analyze the spatial distribution and temporal variation of the turbidity of Cirebon waters. Observation and HydroColor data were collected on September 6, 2020, while the satellite data used was Landsat 8 OLI imagery in 2020. HydroColor has estimated the turbidity of Cirebon Waters and has a fairly good correlation value with the observation data, which is 0.55. While the Landsat 8 OLI satellite imagery has estimated the turbidity of the waters using an algorithm that utilizes band 4 (B4) with a correlation value of 0.71, ????2 of 0.50 and RMSE value of 0.38. The algorithm used is: Turbidity = 90.135×B4-0.2683. High turbidity in Cirebon waters is distributed in coastal areas and river mouths, while sea areas tend to have lowest turbidity. Areas that are shaped like headlands tend to have high turbidity which is distributed further out to sea. Rainfall has a major role in influencing turbidity variations in the river mouth area with a correlation of 0.50, while wave height has a large role in influencing turbidity variations in the sea area with a correlation of 0.41. The rainy season (DJF) has the highest average turbidity, while the transitional season 2 (SON) has the lowest turbidity. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
topic Angkutan air, udara & ruang angkasa
spellingShingle Angkutan air, udara & ruang angkasa
Haidar Dzar Al Ghifari, Khalid
ESTIMATION AND ANALYSIS OF TURBIDITY USING SATTELITE AND HYDROCOLOR: STUDY CASE CIREBON WATERS
description Turbidity is an optical property of water that measures the reduction in light intensity in the water column. Cirebon City is one of the fisheries centers in Indonesia which has a composition of 20 species of fish and changes in turbidity can result in a decrease in fish composition, a decrease in the level of primary productivity of the waters and fish’s ability to eat. Field survey was conducted to obtain observational turbidity and HydroColor data. HydroColor is a mobile application that can be used to obtain turbidity data. In addition, Landsat 8 OLI imagery was used to obtain the distribution of water turbidity. The purpose of this research is to estimate the turbidity using HydroColor application and satellite imagery, as well as to analyze the spatial distribution and temporal variation of the turbidity of Cirebon waters. Observation and HydroColor data were collected on September 6, 2020, while the satellite data used was Landsat 8 OLI imagery in 2020. HydroColor has estimated the turbidity of Cirebon Waters and has a fairly good correlation value with the observation data, which is 0.55. While the Landsat 8 OLI satellite imagery has estimated the turbidity of the waters using an algorithm that utilizes band 4 (B4) with a correlation value of 0.71, ????2 of 0.50 and RMSE value of 0.38. The algorithm used is: Turbidity = 90.135×B4-0.2683. High turbidity in Cirebon waters is distributed in coastal areas and river mouths, while sea areas tend to have lowest turbidity. Areas that are shaped like headlands tend to have high turbidity which is distributed further out to sea. Rainfall has a major role in influencing turbidity variations in the river mouth area with a correlation of 0.50, while wave height has a large role in influencing turbidity variations in the sea area with a correlation of 0.41. The rainy season (DJF) has the highest average turbidity, while the transitional season 2 (SON) has the lowest turbidity.
format Theses
author Haidar Dzar Al Ghifari, Khalid
author_facet Haidar Dzar Al Ghifari, Khalid
author_sort Haidar Dzar Al Ghifari, Khalid
title ESTIMATION AND ANALYSIS OF TURBIDITY USING SATTELITE AND HYDROCOLOR: STUDY CASE CIREBON WATERS
title_short ESTIMATION AND ANALYSIS OF TURBIDITY USING SATTELITE AND HYDROCOLOR: STUDY CASE CIREBON WATERS
title_full ESTIMATION AND ANALYSIS OF TURBIDITY USING SATTELITE AND HYDROCOLOR: STUDY CASE CIREBON WATERS
title_fullStr ESTIMATION AND ANALYSIS OF TURBIDITY USING SATTELITE AND HYDROCOLOR: STUDY CASE CIREBON WATERS
title_full_unstemmed ESTIMATION AND ANALYSIS OF TURBIDITY USING SATTELITE AND HYDROCOLOR: STUDY CASE CIREBON WATERS
title_sort estimation and analysis of turbidity using sattelite and hydrocolor: study case cirebon waters
url https://digilib.itb.ac.id/gdl/view/56476
_version_ 1822002376407515136