Analysis of Water Quality Dynamics of Sentarum Lake, Indonesia, with Water Index Application and Water Parameter Algorithm Methods Using Google Earth Engine

Uloženo v:
Podrobná bibliografie
Vydáno v:IOP Conference Series. Earth and Environmental Science vol. 1443, no. 1 (Jan 2025), p. 012012
Hlavní autor: Rifai, M
Vydáno:
IOP Publishing
Témata:
On-line přístup:Citation/Abstract
Full Text - PDF
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

MARC

LEADER 00000nab a2200000uu 4500
001 3168752300
003 UK-CbPIL
022 |a 1755-1307 
022 |a 1755-1315 
024 7 |a 10.1088/1755-1315/1443/1/012012  |2 doi 
035 |a 3168752300 
045 2 |b d20250101  |b d20250131 
100 1 |a Rifai, M  |u Master of Geomatic Engineering, Department of Geodetic Engineering, Universitas Gadjah Mada , Yogyakarta, 55281, Indonesia; Balai Wilayah Sungai Kalimantan I Pontianak, Directorate General of Water Resources, Ministry of Public Works and Housing, Indonesia 
245 1 |a Analysis of Water Quality Dynamics of Sentarum Lake, Indonesia, with Water Index Application and Water Parameter Algorithm Methods Using Google Earth Engine 
260 |b IOP Publishing  |c Jan 2025 
513 |a Journal Article 
520 3 |a Water quality is one of the main issues with lake degradation in Indonesia. Limited water quality data due to a lack of funding makes lake management in Indonesia difficult. The use of remote sensing technology has enormous potential as a source of data provision to obtain water quality information. We monitored Sentarum Lake in West Kalimantan, Indonesia, from 2019 to 2024 using open-access Sentinel-2 remote sensing data on the Google Earth Engine cloud computing platform. In this study, we combined Sentinel-2 Harmonized with the cloud score+ algorithm to produce cloud-free images of the study location. This paper used the Application Water Index and water parameter algorithms to analyze water quality. Using the Modified Normalized Difference Water Index (MNDWI), water area segmentation enhances open water features while efficiently suppressing and eliminating non-water area information. To estimate chlorophyll-a (Chl-a), we proposed the Normalized Difference Chlorophyll Index (NDCI) and an algorithm. Calculate total suspended solids (TSS) concentration using the Normalized Difference Texture Index (NDTI) and an algorithm. The study’s findings show that Sentarum Lake’s water quality is generally in excellent condition, with yearly averages of Chl-a and TSS fluctuating. This lake categorizes the lake as seasonal based on its stable condition. This estimate will provide lake managers and policymakers with critical information. 
651 4 |a Indonesia 
653 |a Lakes 
653 |a Algorithms 
653 |a Remote sensing 
653 |a Solid suspensions 
653 |a Parameter modification 
653 |a Remote monitoring 
653 |a Water analysis 
653 |a Image processing 
653 |a Water quality 
653 |a Chlorophyll 
653 |a Image segmentation 
653 |a Water area 
653 |a Cloud computing 
653 |a Lake management 
653 |a Image quality 
653 |a Total suspended solids 
653 |a Environmental 
773 0 |t IOP Conference Series. Earth and Environmental Science  |g vol. 1443, no. 1 (Jan 2025), p. 012012 
786 0 |d ProQuest  |t Publicly Available Content Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3168752300/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3168752300/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch