Kurniadin, Nia (2016) Pemodelan Algoritma Empiris Untuk Pendugaan Konsentrasi Muatan Padatan Tersuspensi Menggunakan Data In-Situ Dan Citra Satelit Landsat 8 Di Perairan Gili Iyang Sumenep. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Muatan Padatan Tersuspensi (Total Suspended Solid, TSS) adalah salah
satu parameter yang sering digunakan untuk pemantauan kualitas air laut.
Pengukuran TSS secara konvensional membutuhkan pekerjaan laboratorium yang
rumit melalui analisis sampel air, hal ini tidak memungkinkan untuk mendapatkan
hasil di seluruh badan air, mahal dan memakan waktu. Dalam penelitian ini,
penginderaan jauh digunakan untuk pendugaan konsentrasi TSS di perairan Gili
Iyang melalui pemodelan dan pengujian algoritma empiris dengan tingkat akurasi
yang tinggi.
Data in-situ konsentrasi TSS sebanyak 6 stasiun diambil pada tanggal 15
Oktober 2015 dan citra satelit Landsat 8 diambil pada waktu akuisisi yang sama.
Data citra satelit Landsat 8 selanjutnya dikoreksi atmosfer untuk mendapatkan nilai
refektan remote sensing (Rrs()). Pemodelan algoritma empiris menggunakan
model regresi linier dengan nilai konsentrasi TSS dan kanal tunggal, rasio dua kanal
dan kombinasi rasio kanal Rrs() sebagai data masukan.
Dari hasil validasi terhadap algoritma TSS yang telah ada, algoritma TSS
Budhiman dengan nilai NMAE 28,660%, diperoleh nilai TSS berkisar antara 10,16
mg/L sampai 11,10 mg/L. Sedangkan algoritma TSS Jaelani dengan nilai NMAE
17,758%, diperoleh nilai TSS berkisar antara 11,39 mg/L sampai 12,66 mg/L.
Pemodelan algoritma empiris yang sesuai untuk pendugaan konsentrasi TSS di
perairan Gili Iyang diperoleh algoritma terbaik dengan model regresi linier rasio
kanal 3 dan kanal 4 (3 /4) dengan nilai koefisien determinasi R2 = 0,661.
Pemetaan konsentrasi TSS dengan menggunakan algoritma empiris tersebut
berkisar antara 12,51 mg/L sampai 16,98 mg/L, sedangkan konsentrasi TSS in-situ
berkisar antara 12,00 mg/L sampai 18,00 mg/L.
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Total suspended solid (TSS) is one of frequently used parameter for
monitoring seawater quality. Traditional measurement of TSS requiries laborious
laboratory work by analyzing water samples, which is not enough to cover entire
water body, expensive and time consuming. In this research, remote sensing
technology used for estimating TSS concentrations over Gili Iyang’s waters by
developing and validating high accuracy empirical algorithms.
The in-situ data of TSS concentration were taken on October 15, 2015 (6
stations) and Landsat 8 data at the same acquisition date. Furthermore, atmospheric
correction of Landsat 8 data was performed to obtain the value of remote sensing
reflectance (Rrs()). Developing empirical algorithm using regression algorithm
with measured-TSS and single-band, two-band ratios and combination of bands of
remote sensing reflectance (Rrs()) as input.
Validation of existing TSS algorithm obtained TSS algorithm of
Budhiman with NMAE of 28.660%, estimated-TSS ranged from 10.16 to 11.10
g/m3. While TSS algorithm of Jaelani with NMAE of 17.758%, estimated-TSS
ranged from 11.39 to 12.66 g/m3. From the analysis, the empirical algorithm
modeling for estimating TSS concentration at Gili Iyang’s water produced an
algorithm with determination coefficient (R2) of 0.661. The estimated-TSS
concentration by using the developed empirical algorithm ranged from 12.51 to
16.98 g/m3, while the in-situ TSS concentration ranged from 12.00 to 18.00 g/m3.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RTG 621.367 8 Kur p 3100017068364 |
| Uncontrolled Keywords: | Algoritma Empiris, Gili Iyang, Koreksi Atmosfer, Landsat 8, Muatan Padatan Tersuspensi, Atmospheric Correction, Empirical Algorithm, Gili Iyang, Landsat 8, Total Suspended Solid |
| Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > G70.5.I4 Remote sensing |
| Divisions: | Faculty of Civil Engineering and Planning > Geomatics Engineering > 29101-(S2) Master Thesis |
| Depositing User: | - Davi Wah |
| Date Deposited: | 19 Feb 2020 05:36 |
| Last Modified: | 19 Feb 2020 05:36 |
| URI: | http://repository.its.ac.id/id/eprint/74913 |
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