Yennie Marini, Yennie
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MODIS STANDARD (OC3) CHLOROPHYLL-A ALGORITHM EVALUATION IN INDONESIAN SEAS Winarso, Gathot; Marini, Yennie
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 11, No 1 (2014)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1522.164 KB) | DOI: 10.30536/j.ijreses.2014.v11.a2597

Abstract

The MODIS-estimated chlorophyll-a information was widely used in some operational application in Indonesia. However, there is no information about the performance of MODIS chlorophyll-a in Indonesian seas and there is no data used in development of algorithm was taken in Indonesian seas. Even the algorithm was validated in other area, it is important to know the performance of the algorithm work in Indonesian seas. Performance of MODIS Standard (OC3) algorithm at Indonesian seas was analyzed in this paper. The in-situ chlorophyll-a concentration data was collected during MOMSEI (Monsoon Offset Monitoring and Its Social and Ecosystem Impact) 2012 Cruise 25th April – 12th   May 2012 and also from archived data of the Research and Development Center for Marine Coastal Resources, Agency of Marine and Fisheries Research and Development, Indonesian Ministry of  Marine Affairs and Fisheries. The in-situ data used in this research is located in Indian Ocean the west of Sumatera part and Pacific Ocean the north of Papua Province part. Satellite data which is used is Ocean Color MODIS Level-2 Product that downloaded from NASA and MODIS L-0 from LAPAN Ground Station. MODIS Level 0 from LAPAN then processed to Level-2  using latest SeaDAS Software. The match-up resulted the MNB(%) is -4.8% that means satellite-estimated was underestimate in 4.8 % and RMSE is 0.058. When the data was separated following to the data source, the correlation and trend line equation became better. From MOMSEI Cruise data, the MNB(%) was -18.8% and RMSE 0.05. From Pacific Ocean Data, MNB (%) was -27 % and RMSE 0.049. From SONNE Cruise 2005, MNB (%) was -27 % and RMSE 0.049. MODIS standard algorithm is work well in Indonesia case-1 seawaters, which contain chlorophyll-a only, and derived that influence to the electromagnetic wave.
SITE SELECTION OF SEAWEED CULTURE USING SPOT AND LANDSAT SATELLITE DATA IN PARI ISLAND Hasyim, Bidawi; Harsanugraha, Wawan K; Marini, Yennie; S, Anneke K
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 9, No 2 (2012)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (412.112 KB) | DOI: 10.30536/j.ijreses.2012.v9.a1833

Abstract

One of several factors for seaweed culture success is to determine the suitable location for seaweed culture based on oceanographic parameters. The best location for seaweed culture is coastal waters with suitable requirements for total suspended solid (TSS), sea surface temperature (SST), and area with calm water that is sheltered from waves, strong current and predator, such as lagoon in the middle of an atoll. The purpose of this study was to locate the suitable area for seaweed culture in Pari island, Seribu island using SPOT and LANDSAT-TM data. The results showed that TSS in Pari island waters were in the range of 150 mg/l - 200 mg/l, SST in the range of 22-29°C, while coral reefs and lagoon was only available in some coastal locations. The analysis showed that most of Pari island waters were suitable for seaweed culture.
BATHYMETRY DATA EXTRACTION ANALYSIS USING LANDSAT 8 DATA Setiawan, Kuncoro Teguh; Adawiah, Syifa Wismayati; Marini, Yennie; Winarso, Gathot
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 13, No 2 (2016)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (430.643 KB) | DOI: 10.30536/j.ijreses.2016.v13.a2448

Abstract

The remote sensing technique can be used to produce bathymetric map. Bathymetric mapping is important for the coastal zone and watershed management. In the previous study conducted in Menjangan Island of Bali, bathymetric extractin information from the top of the atmosphere (TOA) reflectance image of Landsat ETM+  data has R2 = 0.620. Not optimal  correlation value produced is highly influenced by the reflectance image of Landsat ETM+ data, were used, hence the lack of the research which became the basis of the present study. The study was on the Karang Lebar water of Thousand Islands, Jakarta. And the aim was to determine whether there was an increased correlation coefficient value of bathymetry extraction information generated from Surface reflectance and TOA reflectance imager of Landsat 8 data acquired on August 12, 2014. The method of extraction was done using algorithms Van Hengel and Spitzer (1991). Extraction   absolute depth information obtained from the model logarithm of Landsat 8 surface reflectance images and pictures TOA produce a correlation value of R2 = 0.663 and R2 = 0.712.
THE EFFECT OF DIFFERENT ATMOSPHERIC CORRECTIONS ON BATHYMETRY EXTRACTION USING LANDSAT 8 SATELLITE IMAGERY Setiawan, Kuncoro Teguh; Marini, Yennie; Manalu, Johannes; Budhiman, Syarif
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 12, No 1 (2015)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1113.457 KB) | DOI: 10.30536/j.ijreses.2015.v12.a2668

Abstract

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.
FISHPOND AQUACULTURE INVENTORY IN MAROS REGENCY OF SOUTH SULAWESI PROVINCE Marini, Yennie; Emiyati, -; Prayogo, Teguh; Hamzah, Rossi; Hasyim, Bidawi
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 10, No 1 (2013)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (791.245 KB) | DOI: 10.30536/j.ijreses.2013.v10.a1839

Abstract

Currently, fishpond aquaculture becomes an interesting business for investors because of its profit,  and  a  source  of  livelihood  for  coastal  communities.  Inventory  and  monitoring  of  fishpond aquaculture provide important baseline data to determine the policy of expansion and revitalization of the fishpond. The aim of this research was to conduct an inventory and monitoring of fishpond area inMaros regency of South Sulawesi province using Satellite Pour l’Observation de la Terre (SPOT -4) and Advanced Land Observing Satellite (ALOS) Phased Array type L-band Synthetic Apeture Radar (PALSAR). SPOT image classification process was performed using maximum likelihood supervised classification  method and  the  density  slice  method  for ALOS  PALSAR.  Fishpond  area  from  SPOT data was  9693.58  hectares  (ha),  this  results  have  been  through  the  process  of  validation  and verification by the ground truth data. The fishponds area from PALSAR was 7080.5 Ha, less than the result  from  SPOT  data.  This  was  due  to  the  classification  result  of  PALSAR  data  showing someobjects around fishponds (dike, mangrove, and scrub) separately and were not combined in fishponds area  calculation.  Meanwhile, the  result  of  SPOT -4  image  classification  combined object  around fishponds area.
PENGARUH ALGORITMA LYZENGA DALAM PEMETAAN TERUMBU KARANG MENGGUNAKAN WORLDVIEW-2, STUDI KASUS: PERAIRAN PLTU PAITON PROBOLINGGO (THE EFFECT OF LYZENGAS ALGORITHM ON CORAL REEF MAPPING USING WORLDVIEW-2, A CASE STUDY: COASTAL WATERS OF PAITON PROBOLINGGO) Jaelani, Lalu Muhamad; Laili, Nurahida; Marini, Yennie
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 12 No. 2 Desember 2015
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (807.824 KB)

Abstract

Peta ekosistem terumbu karang sebagai salah satu data pendukung pengelolaan wilayah pesisir bisa diperoleh dengan memanfaatkan citra satelit resolusi tinggi. Berbagai metode ekstraksi informasi dasar laut telah dikembangkan dan dapat dimanfaatkan, salah satunya adalah menggunakan algoritma Lyzenga. Algoritma ini mensyaratkan adanya variasi kedalaman pada wilayah pesisir perairan yang akan dipetakan. Tujuan penelitian ini adalah untuk mengetahui pengaruh penggunaan algoritma dalam pemetaan ekosistem terumbu karang dengan melakukan perbandingan hasil ekstraksi kenampakan dasar laut antara citra yang diproses menggunakan algoritma Lyzenga dan citra tanpa algoritma Lyzenga. Proses klasifikasi citra dengan algoritma Lyzenga menunjukkan kenampakan obyek di bawah permukaan laut yang lebih mudah dikenali dalam format nilai indeks Lyzenga yang telah terbebas dari pengaruh kedalaman. Dalam penelitian ini dihasilkan beberapa kelas tutupan dasar perairan dangkal di sekitar PLTU Paiton yakni kelas lautan, daratan, pasir, dan terumbu karang. Estimasi luasan tutupan terumbu karang di perairan PLTU Paiton berdasarkan data Worldview dua ini adalah 8,26 Ha. Pemetaan terumbu karang dengan memanfaatkan citra satelit resolusi tinggi sangat membantu memberikan kenampakan mencakup wilayah lebih luas dibandingkan dengan pengamatan langsung di lapangan.Kata Kunci: Lyzenga, Pesisir, Terumbu karang, Worldview 2