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PERBANDINGAN ANTARA INFORMASI SUHU PERMUKAAN LAUT DARI DATA SATELIT DENGAN HASIL PEMODELAN DI WPP NRI-716 Komang Iwan Suniada
Bumi Lestari Journal of Environment Vol 16 No 1 (2016)
Publisher : Environmental Research Center (PPLH) of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/blje.2016.v16.i01.p05

Abstract

Sea Surface Temperature (SST) data and information recently become a valuableinformation since its association with the climate, oceanography condition and fisherieshave been discovered.  Unfortunately, SST information using satellite imagery frequentlyconstrained by atmospheric cloud cover since satellite sensor disability to gather any landor ocean surface information through the cloud.  Modeling data is very required to fill theblank data resulted from satellite imagery under cloudy condition.  This study conducted atSulawesi Sea to North Halmahera which is included to Fisheries Managing Area (FMA)716, to find out the strength and direction relationship between SST model and SST satellite.Result indicates there is a strong and same direction relationship between SST model andSST satellite (r=0.704, n=1516) with 0.2C diferrence so that SST model can be used to fillor substitute the blank of SST satellite.
CARBON STOCK ESTIMATION OF MANGROVE VEGETATION USING REMOTE SENSING IN PERANCAK ESTUARY, JEMBRANA DISTRICT, BALI Amandangi Wahyuning Hastuti; Komang Iwan Suniada; Fikrul Islamy
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 14, No 2 (2017)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1101.535 KB) | DOI: 10.30536/j.ijreses.2017.v14.a2841

Abstract

Mangrove vegetation is one of the forest ecosystems that offers a potential of substantial greenhouse gases (GHG) emission mitigation, due to its ability to sink the amount of CO2 in the atmosphere through the photosynthesis process. Mangroves have been providing multiple benefits either as the source of food, the habitat of wildlife, the coastline protectors as well as the CO2 absorber, higher than other forest types. To explore the role of mangrove vegetation in sequestering the carbon stock, the study on the use of remotely sensed data in estimating carbon stock was applied. This paper describes an examination of the use of remote sensing data particularly Landsat-data with the main objective to estimate carbon stock of mangrove vegetation in Perancak Estuary, Jembrana, Bali. The carbon stock was estimated by analyzing the relationship between NDVI, Above Ground Biomass (AGB) and Below Ground Biomass (BGB). The total carbon stock was obtained by multiplying the total biomass with the carbon organic value of 0.47. The study results show that the total accumulated biomass obtained from remote sensing data in Perancak Estuary in 2015 is about 47.20±25.03 ton ha-1 with total carbon stock of about 22.18±11.76 tonC ha-1and CO2 sequestration 81.41±43.18 tonC ha-1.
Karakteristik Oseanografis Teluk Senggrong Banyuwangi Bambang Sukresno; Denny Wijaya Kusuma; Dinarika Jatisworo; Eko Susilo; Komang Iwan Suniada
Jurnal Kelautan Nasional Vol 14, No 3 (2019): DESEMBER
Publisher : Pusat Riset Kelautan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (76.177 KB) | DOI: 10.15578/jkn.v14i3.7247

Abstract

Penelitian ini ditujukan untuk mengetahui karakteristik oseanografis teluk Senggrong.  Data yang digunakan meliputi suhu permukaan laut, konsentrasi klorofil-a,  salinitas dan pH baik musim barat maupun musim timur.  Data time series suhu permukaan laut dan klorofil-a menggunakan data dari satelit Aqua dan Terra dengan sensor Moderate Resolution Imaging Spectroradiometer (MODIS) tahun 2007 hingga 2018. Data insitu teluk Senggrong diperoleh dari pengukuran langsung yang dilakukan pada bulan April  dan bulan September  dengan menggunakan water quality checker (WQC). Untuk menampilkan distribusi spasial masing-masing variabel dilakukan interpolasi Krigging. Hasil penelitian menunjukan bahwa karakteristik oseanografis teluk Senggrong dipengaruhi oleh perubahan musim baik musim barat maupun musim timur.  Suhu permukaan laut pada musim barat relatif lebih tinggi dibandingkan pada musim timur. Konsentrasi klorofil-a pada musim barat lebih rendah daripada musim timur. Salinitas pada musim barat lebih rendah dibandingkan pada musim timur, sedangkan pH pada musim barat lebih tinggi daripada musim timur. Pada musim barat teluk Senggrong memiliki suhu permukaan laut antara 28,1 ℃ – 31,6 ℃, konsentrasi klorofil-a sekitar 0,2 mg/m3– 0,5 mg/m3, salinitas sebesar 32 ppm – 33 ppm dan pH berkisar 8,4 – 8,7. Sedangkan pada musim timur suhu permukaan laut berkisar antara 24,9 ℃ – 30,7℃, konsentrasi klorofil-a sebesar 0,1 mg/m3 – 3,5 mg/m3, salinitas antara 34 ppm – 35 ppm dan pH sekitar 7,5 – 8,3.