Pengembangan Algoritma Estimasi Sebaran Konsentrasi Total Suspended Solids (Tss) Menggunakan Data In-Situ Dan Citra Satelit Sentinel-2 (Lokasi Studi: Perairan Pantai Timur Surabaya)

Gantari, Agnes Puspa (2020) Pengembangan Algoritma Estimasi Sebaran Konsentrasi Total Suspended Solids (Tss) Menggunakan Data In-Situ Dan Citra Satelit Sentinel-2 (Lokasi Studi: Perairan Pantai Timur Surabaya). Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Perairan pantai timur Surabaya merupakan sebuah ekosistem perairan yang menopang kehidupan biota laut tapi juga mendapat ancaman serius pencemaran melalui limbah hasil kegiatan manusia dan akses transportasi kapal laut. Muatan Padatan Tersuspensi (Total Suspended Solids, TSS) adalah salah satu parameter yang digunakan untuk memantau kualitas air laut. Memprediksi konsentrasi TSS penting untuk pengelolaan sumber daya alam badan air, pengendalian kualitas air, perlindungan garis pantai, dan rekreasi. Pemanfaatan penginderaan jauh terutama menggunakan data citra satelit Sentinel-2A sangat berguna untuk memantau wilayah perairan. Penelitian ini menggunakan data sample air in-situ pada Juli 2018 dan Oktober 2019 yang diuji laboratorium TSS dengan metode gravimetri, citra satelit Sentinel-2A terkoreksi atmosferik menggunakan Sen2Cor plugin pada program SNAP. Penelitian ini menggunakan Algoritma Budhiman dan Algoritma Parwati untuk mendapatkan nilai konsentrasi TSS dari citra. Pengembangan algoritma baru TSS diperoleh dengan menentukan korelasi terbaik antara data lapangan dan data citra menggunakan metode regresi linear, logaritmik dan power. Algoritma Budhiman mempunyai nilai korelasi yang lebih besar terhadap nilai in-situ dan NMAE yang lebih kecil dibanding Algoritma Parwati sehingga Algoritma Budhiman digunakan menjadi dasar pengembangan algoritma baru. Pengembangan algoritma baru menggunakan metode regresi linear reflektan terkoreksi atmosferik kanal merah dari citra Oktober 2019 menghasilkan koefisien determinasi dan NMAE masing-masing sebesar 0,746 dan 25,84%. Hasil validasi algoritma baru terhadap data in-situ Juli 2018 menghasilkan koefisien determinasi dan NMAE masing-masing sebesar 0,020 dan 155,22%. Penelitian ini menunjukkan fluktuasi konsentrasi TSS di Surabaya Utara pada periode Juli 2018 sebesar 41 mg/l sampai dengan 128 mg/l. Pada periode Oktober 2019, TSS meningkat di sepanjang perairan pantai Timur Surabaya hingga 161 mg/l. Konsentrasi TSS yang tinggi ini melebihi batas standar baku mutu air laut untuk wisata bahari dan biota laut menurut Keputusan Menteri Negara Lingkungan Hidup No. 51/2004. ============================================================= Surabaya east coast water is an aquatic ecosystem that sustain marine biota life. However, it also gets a serious threat of pollution from human activities and shipping. This threat can be represented by Total Suspended Solids (TSS) which is one of parameters for monitoring sea water quality of. Predicting TSS concentrations is an important step in management of water body natural resources, air quality control, coastline protection, and recreation. This can be achieved by utilizing a remote sensing method using Sentinel-2A satellite imagery data. This research used in-situ water sample data which were taken in the month of July 2018 and October 2019. These water samples were tested using the gravimetric method. The Sentinel-2A satellite imagery data was corrected using the Sen2Cor plugin on the SNAP program. This research used Budhiman Algorithm and Parwati Algorithm to find out TSS concentrations from imagery data. The aims of this research are to build a new algorithm model for estimating TSS concentrations in Surabaya east coast water and to understand the alteration of TSS concentration distribution used linear, logarithmic and power regressions in the period of July 2018 and October 2019. The Budhiman Algorithm has a greater correlation to the in-situ and a smaller NMAE than the Parwati Algorithm. The algorithm for TSS extraction was obtained by determine the best fit between direct observation and imagery data. The algorithm was developed using linear regression of red band atmospheric corrected reflectance whereas the determination coefficient and NMAE are 0,746 and 25,84% respectively. New algorithm validation in the period July 2018 obtained determination coefficient and NMAE are 0,020 and 155,22% respectively. This research showed fluctuations of TSS magnitudes in North Surabaya in the period of July 2018 within 41 mg/l and 128 mg/l. In the period of October 2019, TSS increased along coast of Surabaya East water within 161 mg/l. This higher TSS concentrations are exceed of standard quality limit for marine tourism and marine biota according to Keputusan Menteri Negara Lingkungan Hidup No. 51/2004.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Algoritma, Total Suspended Solids (TSS), Sentinel-2A, Algorithm, Total Suspended Solids (TSS), Sentinel-2A
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
T Technology > TD Environmental technology. Sanitary engineering > TD194.6 Environmental impact analysis
T Technology > TD Environmental technology. Sanitary engineering > TD890 Global Environmental Monitoring System
Divisions: Faculty of Civil Engineering and Planning > Geomatics Engineering > 29101-(S2) Master Thesis
Depositing User: Agnes Puspa Gantari
Date Deposited: 14 Aug 2020 01:10
Last Modified: 14 Aug 2020 01:10
URI: http://repository.its.ac.id/id/eprint/78045

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