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Pemetaan Mangrove Kepulauan Lease, Provinsi Maluku Menggunakan Data Multi-Temporal Dan Multi-Sensor Citra Satelit Landsat Wouthuyzen, Sam; Ahmad, Fasmi
Oseanologi dan Limnologi di Indonesia Vol 3, No 1 (2018)
Publisher : Oseanologi dan Limnologi di Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Pemetaan mangrove di Kepulauan Lease, Provinsi Maluku Tengah telah dilakukan, tetapi hanya menggunakan satu citra satelit, sehingga sulit melihat dinamika perubahannya. Tujuan kajian ini adalah memetakan mangrove lima tahunan (1985-2015) menggunakan citra satelit Landsat multi-sensor (MSS, TM, ETM+ dan OLI) dan data lapangan.Â Klasifikasi terbimbing berbasiskan metoda maximum likelihood digunakan untuk mengklasifikasi mangrove dari habitat lainnya dan menghitung luasannya. Hasil menunjukkan bahwa Mangrove di Pulau Saparua dan Nusalaut terdiri atas 22 dan 13 jenis dengan sebaran terpanjang pada garis pantai Teluk Tuhaha, karena ada pasokan air tawar dari sungai, sedangkan sisanya tumbuh pada substrat keras di rataan terumbu.Â Hasil uji rata-rata dari akurasi keseluruhan peta cukup baik (74,7%), kecuali untuk peta yang dihasilkan Landsat-5 TM (1995) dan Landsat-8 OLI (2015), karena terkontaminasi tutupan awan/haze. Luas mangrove di seluruh lokasi kajian selama 30 tahun relatif stabil, karena terproteksi oleh kearifan lokal "Kewang". Adapun bias tertinggi sebesar 11,4% yang membuat fluktuasi luas mangrove bertambah atau berkurang bukan disebabkan pemanfaatan atau konversi mangrove, melainkan karena pengaruh awan dan geometrik citra dengan sensor yang berbeda. Ke depan, metoda OBIA layak untuk dicoba karena tampaknya dapat menghasilkan peta mangrove dengan akurasi yang lebih baik.Â Â

MEASURING SEA SURFACE SALINITY OF THE JAKARTA BAY USING REMOTELY SENSED OF OCEAN COLOR DATA ACQUIRED BY MODIS SENSOR Wouthuyzen, Sam
Marine Research in Indonesia Vol 36, No 2 (2011)
Publisher : Research Center for Oceanography - Indonesian Institute of Sciences (LIPI)

Observations on oceanographic parameters using remote sensing techniques intensively have been done for more than 3 decades for estimating and mapping the sea surface temperature (SST) and the abundance of phytoplankton expressed as the concentration of chlorophyll-a and applied them in studying the ocean phenomenon. As a result, the product of these 2 parameters for all over the oceans in the world has been established and available in daily basis. However, on the contrary, there is still limited application for sea surface salinity (SSS) which is also one of the most important oceanographic features. This paper describes a novel method of deriving SSS from remotely sensed ocean color. The method is based on two important observations of optical properties in regions of freshwater influences. The first is the strong effect of Colored Dissolved Organic Matter (CDOM or yellow substance) on ocean color when present in relatively high concentrations. The second is the close relationship between salinity and CDOM originating from fresh water runoff. In this paper, these relationships are demonstrated for the Jakarta Bay, Indonesia. The MODIS sensor in Terra and Aqua satellites imageries and 10 in situ measurements conducted near-simultaneously with the satellites over flight over the bay in 2004 and 2006 were implemented for deriving CDOM and SSS. The empirical relationships demonstrated in this study allow the satisfactory prediction of CDOM and SSS in the Jakarta Bay from remotely sensed ocean color. The root mean square (r.m.s) error difference between the observed and predicted parameters are 0.14 m-1 and 0.93 psu for CDOM g440 g and SSS, respectively, over a range of salinity from 24 to 33 psu. This range is in good agreement with field surveys. Parameters that may influence CDOM, such as Chlorophyll-a (CHL-a) and total suspended material (TSM) concentrations were also analyzed. Results showed that there were no relationship at all between CDOM and CHL-a, and between CDOM and TSM. These indicate that phytoplankton plays a minor role in regulating CDOM abundance, and also suggest that CDOM contribution from sediment and/or from sediment resuspension is negligible. Thus, CDOM sources in the Jakarta Bay are mainly from riverine inputs. SSS maps created from the satellite-retrieved ocean color identify features in the surface salinity distribution such as salinity front of > 32 psu that migrated in and out of the bay according to seasons. Therefore, the ability to obtain synoptic views of SSS such as presented in this paper provides great potential in furthering the understanding of coastal environments.

THE RELATIONSHIP BETWEEN CONDITION FACTOR AND MEAT YIELD OF WILD OYSTER CRASSOSTREA CUCULLATA BORN Wouthuyzen, Sam; Suwartana, Atjep
Marine Research in Indonesia Vol 23 (1984)
Publisher : Research Center for Oceanography - Indonesian Institute of Sciences (LIPI)

From April 1982 to October 1982, 393 specimens of oyster were collected near mangrove roots from Piru, Waisala, Wailale, Pelita Jaya (Seram Island) Ihamahu (Saparua Island), and Manipa Island for sondition factor analysis. The regression of meat yield (Y) on whole meat weight (X1) and condition factor (X2) could be expressed by the following equation: Y = 0.062 X1 + 0.127 X2 â 10.975. The analysis of correlation indicated that the meat yield of oyster depends on the condition factor. Hydrologieal parameters which affected the condition factor are described.

BIODIVERSITY, DISTRIBUTION, AND ABUNDANCE OF THE TROPICAL ANGUILLID EELS IN THE INDONESIAN WATERS Sugeha, Hagi Yulia; Suharti, Sasanti Retno; Wouthuyzen, Sam; Sumadhiharga, Kurnaen
Marine Research in Indonesia Vol 33, No 2 (2008)
Publisher : Research Center for Oceanography - Indonesian Institute of Sciences (LIPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/mri.v33i2.486

In order to understand biodiversity, distribution, and abundance among the tropical anguillid eels in the Indonesian waters, inshore migration mechanism of the juvenile anguillid eel (glass eel) to the estuaries of western, central, and eastern region of Indonesian waters were examined using both morphology and genetic analyses. A total of 9 species/sub species of anguillid eels (Anguilla bicolor bicolor, A. nebulosa nebulosa, A. bicolor pacifica, A. interioris, A. borneensis, A. celebesensis, A. marinorata, A. obscura and A. megastoma) were recognized to recruit at the mouth of 15 rivers through Indonesian archipelago. Species/subspecies diversity and distribution of recruiting juveniles differs in the estuaries of each region. In the western region that represented by estuary of Krueng Aceh, Batang Antokan, Air Kertaun, Cibaliung, Citanduy, Progo, and Pacitan Rivers, three species and sub species (A. bicolor bicolor, A. nebulosa nebulosa and A. bicolor pacifica) were found. In the central region that represented by estuary of Mahakam, Palu, Dumoga, Poigar, Bone, and Poso Rivers, five species and sub species (A. borneensis, A. celebesensis, A. marinorata, A. bicolor pacilica and A. interioris) were found. In the eastern region that represented by estuary of Akelamo and Pami Rivers, four species (A. marinorata, A. interioris, A. obscura and A. megastoma) were found. During the 6 months investigation from May to October 2005, abundance of the juveniles was higher in the central region compared with western and eastern regions. These results were suggested that inshore migration mechanism of tropical anguillid eels recruiting in tropical estuaries of Indonesian waters differs among regions.

MEASURING SEA SURFACE SALINITY OF THE JAKARTA BAY USING REMOTELY SENSED OF OCEAN COLOR DATA ACQUIRED BY MODIS SENSOR Wouthuyzen, Sam
Marine Research in Indonesia Vol 36 No 2 (2011)
Publisher : Research Center for Oceanography - Indonesian Institute of Sciences (LIPI)

Observations on oceanographic parameters using remote sensing techniques intensively have been done for more than 3 decades for estimating and mapping the sea surface temperature (SST) and the abundance of phytoplankton expressed as the concentration of chlorophyll-a and applied them in studying the ocean phenomenon. As a result, the product of these 2 parameters for all over the oceans in the world has been established and available in daily basis. However, on the contrary, there is still limited application for sea surface salinity (SSS) which is also one of the most important oceanographic features. This paper describes a novel method of deriving SSS from remotely sensed ocean color. The method is based on two important observations of optical properties in regions of freshwater influences. The first is the strong effect of Colored Dissolved Organic Matter (CDOM or yellow substance) on ocean color when present in relatively high concentrations. The second is the close relationship between salinity and CDOM originating from fresh water runoff. In this paper, these relationships are demonstrated for the Jakarta Bay, Indonesia. The MODIS sensor in Terra and Aqua satellites imageries and 10 in situ measurements conducted near-simultaneously with the satellites over flight over the bay in 2004 and 2006 were implemented for deriving CDOM and SSS. The empirical relationships demonstrated in this study allow the satisfactory prediction of CDOM and SSS in the Jakarta Bay from remotely sensed ocean color. The root mean square (r.m.s) error difference between the observed and predicted parameters are 0.14 m-1 and 0.93 psu for CDOM g440 g and SSS, respectively, over a range of salinity from 24 to 33 psu. This range is in good agreement with field surveys. Parameters that may influence CDOM, such as Chlorophyll-a (CHL-a) and total suspended material (TSM) concentrations were also analyzed. Results showed that there were no relationship at all between CDOM and CHL-a, and between CDOM and TSM. These indicate that phytoplankton plays a minor role in regulating CDOM abundance, and also suggest that CDOM contribution from sediment and/or from sediment resuspension is negligible. Thus, CDOM sources in the Jakarta Bay are mainly from riverine inputs. SSS maps created from the satellite-retrieved ocean color identify features in the surface salinity distribution such as salinity front of > 32 psu that migrated in and out of the bay according to seasons. Therefore, the ability to obtain synoptic views of SSS such as presented in this paper provides great potential in furthering the understanding of coastal environments.

THE RELATIONSHIP BETWEEN CONDITION FACTOR AND MEAT YIELD OF WILD OYSTER CRASSOSTREA CUCULLATA BORN Wouthuyzen, Sam; Suwartana, Atjep
Marine Research in Indonesia Vol 23 (1984)
Publisher : Research Center for Oceanography - Indonesian Institute of Sciences (LIPI)

From April 1982 to October 1982, 393 specimens of oyster were collected near mangrove roots from Piru, Waisala, Wailale, Pelita Jaya (Seram Island) Ihamahu (Saparua Island), and Manipa Island for sondition factor analysis. The regression of meat yield (Y) on whole meat weight (X1) and condition factor (X2) could be expressed by the following equation: Y = 0.062 X1 + 0.127 X2 ? 10.975. The analysis of correlation indicated that the meat yield of oyster depends on the condition factor. Hydrologieal parameters which affected the condition factor are described.

BIODIVERSITY, DISTRIBUTION, AND ABUNDANCE OF THE TROPICAL ANGUILLID EELS IN THE INDONESIAN WATERS Sugeha, Hagi Yulia; Suharti, Sasanti Retno; Wouthuyzen, Sam; Sumadhiharga, Kurnaen
Marine Research in Indonesia Vol 33 No 2 (2008)
Publisher : Research Center for Oceanography - Indonesian Institute of Sciences (LIPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/mri.v33i2.486

In order to understand biodiversity, distribution, and abundance among the tropical anguillid eels in the Indonesian waters, inshore migration mechanism of the juvenile anguillid eel (glass eel) to the estuaries of western, central, and eastern region of Indonesian waters were examined using both morphology and genetic analyses. A total of 9 species/sub species of anguillid eels (Anguilla bicolor bicolor, A. nebulosa nebulosa, A. bicolor pacifica, A. interioris, A. borneensis, A. celebesensis, A. marinorata, A. obscura and A. megastoma) were recognized to recruit at the mouth of 15 rivers through Indonesian archipelago. Species/subspecies diversity and distribution of recruiting juveniles differs in the estuaries of each region. In the western region that represented by estuary of Krueng Aceh, Batang Antokan, Air Kertaun, Cibaliung, Citanduy, Progo, and Pacitan Rivers, three species and sub species (A. bicolor bicolor, A. nebulosa nebulosa and A. bicolor pacifica) were found. In the central region that represented by estuary of Mahakam, Palu, Dumoga, Poigar, Bone, and Poso Rivers, five species and sub species (A. borneensis, A. celebesensis, A. marinorata, A. bicolor pacilica and A. interioris) were found. In the eastern region that represented by estuary of Akelamo and Pami Rivers, four species (A. marinorata, A. interioris, A. obscura and A. megastoma) were found. During the 6 months investigation from May to October 2005, abundance of the juveniles was higher in the central region compared with western and eastern regions. These results were suggested that inshore migration mechanism of tropical anguillid eels recruiting in tropical estuaries of Indonesian waters differs among regions.

KECENDERUNGAN NAIKNYA SUHU PERMUKAAN LAUT DAN RESILIENSI KARANG SETELAH KEJADIAN PEMUTIHAN KARANG 2010 DAN 2016 DI TAMAN WISATA PERAIRAN (TWP) PULAU PIEH, PADANG, SUMATRA BARAT Wouthuyzen, Sam; Abrar, Muhammad; Corvianawatie, Corry; Kusumo, Suryo; Yanuar, Yogi; Darmawan, Darmawan; Yennafri, Yennafri; Salatalohi, Abu; Hanif, Andriyatno; Permana, Syeprianto; Arafat, M. Y.
OLDI (Oseanologi dan Limnologi di Indonesia) Vol 5, No 1 (2020)
Publisher : Indonesian Institute of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/oldi.2020.v5i1.236

Kejadian pemutihan karang (coral bleaching) telah melanda hampir seluruh perairan Indonesia sedikitnya empat kali antara tahun 1982-2016. Dua kejadian terbaru (2010 dan 2016) telah dibahas mendalam, namun belum ada kajian rinci pada suatu lokasi yang spesifik, seperti di Taman Wisata Perairan (TWP) Pulau Pieh, perairan Padang, Sumatra Barat yang dipengaruhi oleh massa air Samudra Hindia. Tulisan ini bertujuan mengkaji kecenderungan naiknya suhu permukaan laut (SPL) pada kejadian pemutihan karang 2010 dan 2016 dan resiliensi karang setelah kejadian tersebut. Pada kajian ini data SPL jangka panjang hasil pemindaian citra satelit Aqua MODIS digunakan secara intensif. Hasil kajian menunjukkan bahwa SPL rata-rata bulanan tertinggi (MMM) yang dapat ditolerir oleh karang di TWP ini adalah 29,6oC, lebih tinggi daripada seluruh perairan Indonesia (29,1 oC). Selisih antara SPL Anomali dan SPL normal (MMM) atau disebut Hot Spot (HS) rata-rata telah melampaui MMM pada kejadian pemutihan tahun 2010 sekitar 0,4-0,5oC dengan puncaknya di bulan April dan tingkat keparahan alert-1 (DHW < 8oC-minggu; karang mengalami pemutihan sebagian). Tahun 2016 HS rata-rata meningkat 0,5~1,0oC dengan puncak di bulan Jan-Feb dan Mei-Juni dan tingkat keparahan Alert-2 (DHW ? 8oC-minggu, karang mengalami pemutihan berat, luas dan sebagian mati). Satu tahun sebelumnya (2015) terlihat juga HS rata-rata sebesar 0,3-0,8 oC dan DHW ~ 4oC-minggu. Hal ini menunjukkan bahwa kejadian pemutihan karang di TWP Pulau Pieh berulang-ulang dan panjang. Kecenderungan peningkatan SPL di TWP ini adalah 0,23oC/dekade lebih rendah dari seluruh perairan Indonesia (0,36oC/dekade). Kecenderungan ini menunjukkan bahwa terumbu karang di perairan Indonesia, termasuk TWP Pulau Pieh memiliki resiliensi tinggi untuk memulihkan dirinya, karena kecenderungan peningkatan SPL < 1,0oC/dekade. Dari 11 faktor kunci resiliensi karang, faktor positif yang menunjang resiliensi karang adalah rendahnya polusi, nutrien, sedimentasi, dan rendahnya aktivitas manusia yang tidak ramah lingkungan, sedangkan yang paling negatif adalah meledaknya populasi hewan laut Bulu Seribu, Acanthaster planci, disamping penyakit karang.

SHALLOW WATER HABITAT MAPPING AND REEF FISH STOCK ESTIMATION USING HIGH RESOLUTION SATELLITE DATA Vincentius P. Siregar; Sam Wouthuyzen; Andriani Sunuddin; Ari Anggoro; Ade Ayu Mustika
Jurnal Ilmu dan Teknologi Kelautan Tropis Vol. 5 No. 2 (2013): Elektronik Jurnal Ilmu dan Teknologi Kelautan Tropis
Publisher : Department of Marine Science and Technology, Faculty of Fisheries and Marine Science, IPB University

Shallow marine waters comprise diverse benthic types forming habitats for reef fish community, which important for the livelihood of coastal and small island inhabitants. Satellite imagery provide synoptic map of benthic habitat and further utilized to estimate reef fish stock. The objective of this research was to estimate reef fish stock in complex coral reef of Pulau Pari, by utilizing high resolution satellite imagery of the WorldView-2 in combination with field data such as visual census of reef fish. Field survey was conducted between May-August 2013 with 160 sampling points representing four sites (north, south, west, and east). The image was analy-zed and grouped into five classes of benthic habitats i.e., live coral (LC), dead coral (DC), sand (Sa), seagrass (Sg), and mix (Mx) (combination seagrass+coral and seagrass+sand). The overall accuracy of benthic habitat map was 78%. Field survey revealed that the highest live coral cover (58%) was found at the north site with fish density 3.69 and 1.50 ind/m2at 3 and 10 m depth, respectively. Meanwhile, the lowest live coral cover (18%) was found at the south site with fish density 2.79 and 2.18 ind/m2 at 3 and 10 m depth, respectively. Interpolation on fish density data in each habitat class resulted in standing stock reef fish estimation: LC (5,340,698 ind), DC (56,254,356 ind), Sa (13,370,154 ind), Sg (1,776,195 ind) and Mx (14,557,680 ind). Keywords: mapping, satellite imagery, benthic habitat, reef fish, stock estimation

MANGROVE COVERAGE CHANGE DETECTION USING LANDSAT IMAGERIES BASED ON HYBRID CLASSIFICATION IN KEMBUNG RIVER, BENGKALIS ISLAND, RIAU PROVINCE Romie Jhonnerie; Vincentius P Siregar; Bisman Nababan; Lilik Budi Prasetyo; Sam Wouthuyzen
Jurnal Ilmu dan Teknologi Kelautan Tropis Vol. 6 No. 2 (2014): Electronik Jurnal Ilmu dan Teknologi Kelautan Tropis
Publisher : Department of Marine Science and Technology, Faculty of Fisheries and Marine Science, IPB University

ABSTRACT The limited scientific information and lack of attention from stakeholders on the status of mangroves in Kembung River functioned as a basis of this study. Four series of Landsat data recorded in 1996, 2002, 2010, and 2013 were used to map mangrove land cover and changes detection. Hybrid classification technique, a combination of the object-based and random forest classifications, were applied in this study. The result showed that based on hybrid classification, mangrove coverage was detected within 82.6-88.4% overall accuracy. Change detection analyses showed that the mangrove area of Kembung River was relatively stable. For nearly two decades, we found mangrove loss about 197.2 ha, gain of 251.1 ha, and unchanged of 2904.9 ha. Changes in mangrove were generally caused by anthropogenic factors such as mangrove replanting, logging, changes over the function of mangroves into the road, embankment, settlement, shrimp farms, and natural growth. Serious attention from various parties are needed to maintain the existence and sustainablility of mangrove ecosystems in Kembung River. Keywords: Mangrove, Sungai Kembung, monitoring, Landsat, hybrid classification

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