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ANALISIS DISTRIBUSI TOTAL SUSPENDED MATTER DAN KLOROFIL-A MENGGUNAKAN CITRA TERRA MODIS LEVEL 1B RESOLUSI 250 METER DAN 500 METER (Studi Kasus Daerah Pesisir Kabupaten Pesawaran Provinsi Lampung Tahun 2012) Dicky H., Muhamad; Sasmito, Bandi; ., Hani'ah; Parwati, Ety; Budhiman, Syarif
Jurnal Geodesi UNDIP Volume 2, Nomor 1, Tahun 2013
Publisher : Departement Teknik Geodesi Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2569.847 KB)

TSM (Total Suspended Matter) adalah material tersuspensi berupa zat organik maupun anorganik yang memiliki diameter >1mm yang berada di permukaan air, sedangkan Klorofil-A adalah kelompok pigmen fotosintesis yang menyerap cahaya biru, dan merah, serta merefleksikan cahaya hijau. Keduanya dengan jumlah yang besar dapat menutupi permukaan air dan membuat air menjadi hangat dan mengurangi kemampuan air untuk memenuhi kebutuhan oksigen untuk kehidupan biota laut dengan kata lain dapat menganggu ekosistem perairan. Dalam pengamatan kualitas air, perlu adanya pengamatan tentang TSM dan Klorofil-A untuk waktu dan tempat yang spesifik, serta berkelanjutan. Data pengideraan jauh dapat menganalisa beberapa parameter dalam cara spasial dan temporal. Akan tetapi masalahnya adalah sulit untuk menemukan algoritma yang sesuai untuk setiap daerah. Dikarenakan setiap daerah memiliki karakteristik yang belum tentu sama. Dengan menggunakan data time series akan lebih baik dalam memonitoring kondisi kualitas air. MODIS adalah satelit yang memiliki time series harian, jadi sangat bagus untuk pengamatan daerah perairan. Data yang digunakan dalam pengamatan ini adalah Terra-MODIS level 1B resolusi 250 meter dan 500 meter bulan januari sampai september dan di validasi dengan data in situ bulan Agustus 2012. Beberapa model persamaan digunakan dalam penelitian ini untuk menganalisis sebaran konsentrasi TSM dan Klorofil-A. Hasil pengolahan data didapatkan transformasi kromatisiti kanal merah pada MODIS dapat digunakan untuk analisa sebaran koefisien TSM dengan nilai koefisien korelasi (R2) sebesar 0,484 sedangkan rasio antara kanal NIR dengan Kanal biru dapat digunakan untuk analisa sebaran konsentrasi Klorofil-A dengan koefisien korelasi sebesar (R2) 0,924.

DIGITAL IMAGE PROCESSING OF SPOT-4 FOR SHORELINE EXTRACTION IN LAMPUNG BAY . Emiyati; Syarif Budhiman; Ety Parwati
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 11, No 1 (2014)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Shoreline is an imaginary line separating land and seawater. The intensification of land used/land cover at Lampung bay causes shoreline change either abrasions or accretions. The objectives of this study were to compare the shoreline extraction based on the digital image processing of SPOT-4 using ratio band of infrared and green band, Normalized Difference Vegetation Index (NDVI), and (band infrared) methods and to analyze shoreline change at Lampung Bay. Those methods applied on both cloudy free and cloudy SPOT-4 images and the result compared with RBI map as reference. The result showed that the best metod for shoreline axtraction was ratio band due to accuracy high and stable eventhough it applied on cloudy image. The shoreline changes at Lampung Bay along 2008 to 2012 caused by accretions. The total area of accretion at Lampung Bay for fours years were 662 Ha with the rates 165 Ha/year. The high of accretion rate caused by reclamation for urban built up, fishponds and mangrove.

THE EFFECT OF DIFFERENT ATMOSPHERIC CORRECTIONS ON BATHYMETRY EXTRACTION USING LANDSAT 8 SATELLITE IMAGERY Kuncoro Teguh Setiawan; Yennie Marini; Johannes Manalu; Syarif Budhiman
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 12, No 1 (2015)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Remote sensing technology can be used to obtain information bathymetry. Bathymetric information plays an important role for fisheries, hydrographic and navigation safety. Bathymetric information derived from remote sensing data is highly dependent on the quality of satellite data use and processing. One of the processing to be done is the atmospheric correction process. The data used in this study is Landsat 8 image obtained on June 19, 2013. The purpose of this study was to determine the effect of different atmospheric correction on bathymetric information extraction from Landsat satellite image data 8. The atmospheric correction methods applied were the minimum radiant, Dark Pixels and ATCOR. Bathymetry extraction result of Landsat 8 uses a third method of atmospheric correction is difficult to distinguish which one is best. The calculation of the difference extraction results was determined from regression models and correlation coefficient value calculation error is generated.

DERIVING INHERENT OPTICAL PROPERTIES FROM MERIS IMAGERY AND IN SITU MEASUREMENT USING QUASI-ANALYTICAL ALGORITHM Wiwin Ambarwulan; - Widiatmaka; Syarif Budhiman
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 10, No 1 (2013)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

The paper describes inherent optical properties (IOP) of the Berau coastal waters derived from in situ measurements and Medium Resolution Imaging Spectrometer (MERIS) satellite data. Field measurements of optical water, total suspended matter (TSM), and chlorophyll-a (Chl-a) concentrations were carried out during the dry season of 2007. During this periode, only four MERISdata were coincided with in situ measurements on 31 August 2007. The MERIS top-of-atmosphere radiances were atmospherically corrected using the MODTRAN radiative transfer model. The in situ optical measurement have been processed into apparent optical properties (AOP) and sub surface irradiance. The remote sensing reflectance of in situ measurement as well as MERIS data were inverted into the IOP using quasi-analytical algorithm (QAA). The result indicated that coefficient of determination (R 2) of backscattering coefficients of suspended particles (bbp) increased with increasing wavelength, however the R2 of absorption spectra of phytoplankton (aph) decreased with increasing wavelength.

PERBANDINGAN KARAKTERISTIK SPEKTRAL (SPECTRAL SIGNATURE) PARAMETER KUALITAS PERAIRAN PADA KANAL LANDSAT ETM+ DAN ENVISAT MERIS Budhiman, Syarif
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 9 No. 2 (2012)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v9i2.3261

This study analyzed 3 optically active water constituents (Total Suspended Matter (TSM), Chlorophyll a (Chl a) and Color Dissolved Organic Matter (CDOM)) measured by in situ spectroradiometer (350-950 nm, interval 3.3 nm) and laboratory analysis for respective concentration measurements. Remote sensing reflectances ($R_s$) were derived from radiance and irradiance measurements and estimated using bio-optical model approach. The spectral signatures of derived $R_s$ were converted to ETM+ and MERIS bands using respective spectral response sensitivity. The converted $R_s$ were used to estimate the concentrations of 3 optically active water constituents using optimization method. The derived concentrations were validated with measured concentrations from laboratory analysis. ETM+ sensor with 4 bands provided better estimation for TSM ($R^2=0.70$) and CDOM ($R^2=0.64$) while the coefficient determination ($R^2$) for Chl a is only 0.46. However, MERIS sensor with 10 bands provided better estimation than ETM+, with coefficient determinations were higher than 0.70 for all water constituents. RMSE values for MERIS sensor showed smaller error estimation (16.84 gm-3 (TSM), 2.66 mg m-3 (Chl a) and 0.26 m-1 (CDOM)) compare with ETM+ sensor (19.89 gm-3 (TSM), 4.96 mg m-3 (Chl a) and 0.29 m-1 (CDOM)).

PENGARUH PENGAMBILAN TRAINING SAMPLE SUBSTRAT DASAR BERBEDA PADA KOREKSI KOLOM AIR MENGGUNAKAN DATA PENGINDERAAN JAUH Budhiman, Syarif; Winarso, Gathot; Asriningrum, Wikanti
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 10 No. 2 (2013)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v10i2.3276

Lyzen ga (1978, 1981) developed a method to correct the water column using a ratio of bottom waters substrates reflectance on 2 (two) different bands, assuming that the ratio is the same for a different bottom type. The problem arise when the Lyzenga method was being simplified. In this case by sampling different bottom substrates as input. This study aims to compare the effects of the simplification process with the result of the calculation using the actual Lyzenga method. The calculation of water column correction followed the process described in the guide by UNESCO (1999) and Green et al (2000). The results showed that samples from two different substrates which has a very different radiance (reflectance) increased the index value of the substrate in deeper water.

DETEKSI SEBARAN MUATAN PADATAN TERSUSPENSI DENGAN MODEL EMPIRIS DAN MODEL SEMI-ANALITIK DI PERAIRAN BEKASI Afgatiani, Pingkan Mayestika; Hartuti, Maryani; Budhiman, Syarif
Jurnal Ilmu dan Teknologi Kelautan Tropis Vol. 12 No. 2 (2020): Jurnal Ilmu dan Teknologi Kelautan Tropis
Publisher : Department of Marine Science and Technology, Faculty of Fisheries and Marine Science, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jitkt.v12i2.28138

One of the parameters in water quality is total suspended solids (TSS). TSS consists of mud and microorganisms caused by erosion of soil flowed into water bodies. This study aimed to detect suspended sediments in Bekasi coastal water by comparing empirical and semi-analytic models. Landsat 8 was used for analysis of suspended solids using the Google Earth Engine platform. The workflow of this study consisted of land masking by area delineation using surface reflectance image data, TSS analysis, and visualization. Then validation was done with in situ data, model selection and time series implementation. TSS detection results were displayed with a different color display according to the concentration. Validation test results with in situ data showed that the value of the Semi-Analytical Absolute Error (NMAE) model was closer to the minimum requirement of 66.8%, far different from the empirical model of 43768%. The value of Root Mean Square Error (RMSE) also showed that the semi-analytic model produced a much smaller value of 51.4 and the empirical model of 58577.2. This showed that the semi-analytic model has a better value in detecting the distribution of TSS. Time series analysis showed that the distribution of MPT in 2015 - 2019 in coastal waters had a very high TSS distribution, due to the number of ponds and river estuaries. Therefore, semi-analytical model was more recommended for estimating TSS concentrations than empirical model.

DIGITAL IMAGE PROCESSING OF SPOT-4 FOR SHORELINE EXTRACTION IN LAMPUNG BAY Emiyati; Syarif Budhiman; Ety Parwati
International Journal of Remote Sensing and Earth Sciences Vol. 11 No. 1 (2014)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2014.v11.a2596

Shoreline is an imaginary line separating land and seawater. The intensification of land used/land cover at Lampung bay causes shoreline change either abrasions or accretions. The objectives of this study were to compare the shoreline extraction based on the digital image processing of SPOT-4 using ratio band of infrared and green band, Normalized Difference Vegetation Index (NDVI), and (band infrared) methods and to analyze shoreline change at Lampung Bay. Those methods applied on both cloudy free and cloudy SPOT-4 images and the result compared with RBI map as reference. The result showed that the best metod for shoreline axtraction was ratio band due to accuracy high and stable eventhough it applied on cloudy image. The shoreline changes at Lampung Bay along 2008 to 2012 caused by accretions. The total area of accretion at Lampung Bay for fours years were 662 Ha with the rates 165 Ha/year. The high of accretion rate caused by reclamation for urban built up, fishponds and mangrove.

THE EFFECT OF DIFFERENT ATMOSPHERIC CORRECTIONS ON BATHYMETRY EXTRACTION USING LANDSAT 8 SATELLITE IMAGERY Kuncoro Teguh Setiawan; Yennie Marini; Johannes Manalu; Syarif Budhiman
International Journal of Remote Sensing and Earth Sciences Vol. 12 No. 1 (2015)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2015.v12.a2668

Remote sensing technology can be used to obtain information bathymetry. Bathymetric information plays an important role for fisheries, hydrographic and navigation safety. Bathymetric information derived from remote sensing data is highly dependent on the quality of satellite data use and processing. One of the processing to be done is the atmospheric correction process. The data used in this study is Landsat 8 image obtained on June 19, 2013. The purpose of this study was to determine the effect of different atmospheric correction on bathymetric information extraction from Landsat satellite image data 8. The atmospheric correction methods applied were the minimum radiant, Dark Pixels and ATCOR. Bathymetry extraction result of Landsat 8 uses a third method of atmospheric correction is difficult to distinguish which one is best. The calculation of the difference extraction results was determined from regression models and correlation coefficient value calculation error is generated

HARMFUL ALGAL BLOOM 2012 EVENT VERIFICATION IN LAMPUNG BAY USING RED TIDE DETECTION ON SPOT 4 IMAGE Emiyati; Ety Parwati; Syarif Budhiman
International Journal of Remote Sensing and Earth Sciences Vol. 14 No. 1 (2017)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2017.v14.a2626

In mid-December 2012, harmful algal bloom phenomenon occurred in Lampung Bay. Harmful Algal Bloom (HAB) is blooming of algae in aquatic ecosystems. It has negative impact on living organism, due to its toxic. This study was applied Red Tide (RT) detection algorithm on SPOT 4 images and verified the distribution of HAB 2012 event in Lampung Bay. The HAB event in 2012 in Lampung Bay can be detected by using RT algorithm on SPOT 4 images quantitatively and qualitatively. According to field measurement, the phytoplankton blooming which happen at Lampung Bay in 2012 were Cochlodinium sp. Image analysis showed that Cochlodinium sp has specific pattern of RT with values, digitally, were 13 to 41 and threshold value of red band SPOT 4 image was 57. The total area of RT distribution, which are found in Lampung Bay, was 11,545.3 Ha. Based on the RT classification of RT images and field data measurement, the RT which is caused many fishes died on the western coastal of Lampung Bay spread out from Bandar Lampung City to Batumenyan village. By using confusion matrix, the accuracy of this this method was 74.05 %. This method was expected to be used as early warning system for HAB monitoring in Lampung Bay and perhaps in another coastal region of Indonesia.

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