63 research outputs found
HUBUNGAN KONSTANTA ATENUASI DENGAN KONSTITUEN AIR PADA PERAIRAN PELABUHAN KARIMUNJAWA
No full textSatellite-derived bathymetry (SDB) is one of the techniques in remote sensing for extraction of ocean depth by utilizing optical imagery. Spectral data from the water column is needed for SDB process. One of SDB method is an analytical method requiring field spectral data, water attenuation, and water constituents for depth estimation processes. Spectral data and attenuation were acquired by TriOS Ramses spectrometer. Water constituents are taken from filtered water samples to be tested at the laboratory. The water constituents tested were chlorophyll, CDOM, TSS, and TOM. The depth value of bathymetry extraction is strongly influenced by light penetration behavior. This is influenced by the condition of water constituents. Water constituents affect the attenuation of water. The study gives results from 4 stations of attenuation measurement having a positive correlation with chlorophyll constituents. Chlorophyll has a positive correlation with other constituents (TOM, CDOM, and TSS). From the value of water attenuation, the water classification around Karimunjawa Port are clear water of type III and 1 which have a value of (PAR) is 0.111 m-1
Aplikasi Model Bierwith untuk Deteksi Kedalaman Laut Dangkal di Tanjung Berakit Pulau Bintan/ Dadang Gaswara G.; Gathot Winarso; Nana Swargana ; Hamzah Sidik
No full textHlm. 72-76:Il.; 30 cm
Pengembangan Indeks Mangrove Sebagai Indikator Kualitas Menggunakan Data Landsat 8, Landsat 5 dan Spot-4 di Segara Anakan, Cilacap
No full textKualitas hutan mangrove menjadi salah satu masalah utama dalam pelestarian lingkungan terutama dikawasan pesisir. Kawasan Segara Anakan, Cilacap merupakan ekosistem mangrove terluas di Pulau Jawa yangkondisinya sudah kritis akibat proses alam dan aktivitas manusia. Penggunaan indeks vegetasi NDVI sering digunakanuntuk mengidentifikasi kerapatan tajuk mangrove, akan tetapi jika digunakan untuk memantau kualitas dari hutanmangrove kurang optimal pada kawasan mangrove yang sudah mulai terdegradasi kualitasnya seperti di Segara Anakan,Cilacap karena hasil yang diperoleh tidak sesuai dengan kenyataan di lapangan. Indeks baru dengan nama IndeksMangrove telah diajukan oleh Winarso et al, (2014) sebagai alternatif dari indeks vegetasi NDVI dan telah diujicobakandi kawasan mangrove Alas Purwo Banyuwangi dengan menggunakan data Landsat 8 berbasis nilai digital (DN). Untukpenggunaan data selain Landsat 8 dan berbasis nilai reflektan belum dikembangkan. Oleh karena itu pada tulisan iniakan dibahas pengembangan Indeks Mangrove berbasis nilai reflektan dengan menggunakan data Landsat 8, Landsat 5dan SPOT-4. Formula tersebut adalah Indeks Mangrove (IM) dengan menggunakan kanal NIR dan kanal SWIR daricitra yang digunakan. Diharapkan Indeks Mangrove dapat diterapkan dengan berbagai data yang tersedia untuk seluruhwilayah Indonesia karena tersedianya data mosaik.Hal.689-69
RED TIDE DETECTION USING Seawifs STANDARD CHOLOROPHYLL-a ALGORITHM IN SOUTHEAST KOREAN WATERS
No full textCochlodinium polykrikoides red tides have occurred in summer every year at coastal waters of the South Korea. Chlorophyll-a concentration data estimated from ocean color satellite SeaWiFS (Sea-viewing Wide Field-of-view Sensor) were used to detect the red tide in this study. The high value of chlorophyll-a concentration used to detect red tide was analyzed and compared with red tide map produced by National Fisheries Research and Development Institute of Korea (NFRDI). Based on SeaWiFS data and NFRDI red tide map, it was found that high chlorophyll-a concentration of ≥ 5 mg/m3in SeaWiFS images corresponded to the red-tide occurrence with some limitations.
Identifikasi Zona Geomorfologi Perairan Dangkal Pulau Biawak Menggunakan Citra SPOT 6
No full textPulau Biawak ditetapkan sebagai Kawasan Konservasi dan Wisata Laut Daerah Kabupaten Indramayu menurut dasar hukum Surat Keterangan Bupati Indramayu pada tanggal 7 April 2004. Oleh karena itu studi tentang kondisi Pulau Biawak seperti gambaran distribusi spasial profil zona geomorfologi perairan dangkal dibutuhkan untuk pertimbangan dalam pengelolaan potensi sumberdaya pesisir dan laut. Metode yang digunakan dalam studi ini adalah analisis dengan perangkat Benthic Terrain Modeler (BTM) pada data batimetri hasil regresi komposit citra SPOT 6 hasil fusi terhadap kedalaman sebenarnya. Perangkat BTM terdiri atas beberapa tools yang dapat menganalisa bidang rataan perairan dangkal dengan menghasilkan estimasi bathymetric position index (BPI), standardized BPI, dan slope (kemiringan). Fusi citra mampu memperjelas gambaran secara visual berupa perubahan warna yaitu citra multispektral asli memiliki warna yang lebih gelap sedangkan citra hasil brovey transform memiliki warna yang lebih terang dan tampak lebih spesifik serta heterogen di daerah perairan dangkalnya. Algoritma band tunggal dapat menghasilkan peta batimetri perairan dangkal dengan koefisien korelasi sebesar 0.91 dan root mean square error (RMSE) sebesar 0.22 m. Tools BTM dapat memetakan zona geomorfologi perairan dangkal berdasarkan identifikasi lima kelas dari classification dictionary yang digunakan, yaitu 1) crest ridgetop, boulder, ridges; 2) depression; 3) crests; 4) flats; dan 5) slopes
Pemanfaatan data satelit resolusi tinggi world view-2 untuk kajian pesisir
No full textHal. 51-55 : ilus. ; 28 c
Red Tide Detection using SeaWIFS Standard Chlorophyll-a Algorithm in Southeast Korean Waters SeaWiFS
No full textCochlodinium polykrikoides red tides have occurred in summer every year at coastal waters of the South Korea. Chlorophyll-a concentration data estimated from ocean color satellite SeaWiFS (Sea-viewing Wide Field-of-view Sensor) were used to detect the red tide in this study. The high value of chlorophyll-a concentration used to detect red tide was analyzed and compared with red tide map produced by National Fisheries Research and Development Institute of Korea (NFRDI). Based on SeaWiFS data and NFRDI red tide map, it was found that high chlorophyll-a concentration of ? 5 mg/m3in SeaWiFS images corresponded to the red-tide occurrence with some limitations.p.53-62: ilus. ; 30 c
MODIS STANDARD (OC3) CHLOROPHYLL-A ALGORITHM EVALUATION IN INDONESIAN SEAS
No full textThe 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
EVALUATION OF MANGROVE DAMAGE LEVEL BASED ON LANDSAT 8 IMAGE
No full textMonitoring of mangrove damage in Java requires special attention because the mangrove vegetation has been under pressure from various other land uses which are considered more productive. This paper applied quick-mangrove-damage-detection technique using Landsat 8. The purpose of this study is to develop mangrove damage identification algorithm using Landsat 8. The findings from field survey in Segara Anakan-Cilacap show that major mangrove logging generates the growth of minor mangrove, specifically Derris and Acanthus type; the minor mangrove cover area is categorized as high density based on NDVI value. The index use does not meet the actual condition in the field. This study proposes a new index as mangrove quality indicator. The new proposed mangrove index is derived from 2 bands that could differentiate mangrove vegetation where different digital number of two bands is higher from mangrove forest than non-mangrove forest. That phenomenon is caused the low of SWIR spectral on mangrove forest due to absorption by wet soil below the mangrove forest where flooded in high tide. The new mangrove index is formulated as (NIR – SWIR / NIR x SWIR) x 10000. The new mangrove index has good correlation with density of major mangrove in the field, and also good correlation with mangrove degradation map. Mangrove index has been functioning properly and can be applied in Segara Anakan, Cilacap and potentially can be applied in other locations
Validation of Cochlodinium Polykrikoides Red Tide Detection Using SeaWIFS-Derived Chlorophyll-A Data with NFRDI Red Tide Map in South East Korean Waters
No full textAnnual summer red tides of Cochlodinium polykrikoides have happenned at southern coastal of the South Korea, accounted economic losses of 76.4 billion won in 1995 on fisheries and other economic substantial losses. Therefore, it is important to eliminate the damage and losses by monitoring the bloom and to forecast their development and movement. On previous study, ocean color satellite, SeaWiFS, standard chlorophyll-a data was used to detect the red tide, using threshold value of chlorophyll-a concentration ? 5 mg/m3, resulted a good correlation using visual comparison. However, statistic based accuracy analysis has not be done yet. In this study, the accuracy of detection method was analyzed using spatial statistic. Spatial statistical match up analysis resulted 68% of red tide area was not presented in satellite data due to masking. Within red tide area where data existed, 36% was in high chlorophyll-a area and 64% was in low chlorophyll-a area. Within the high chlorophyll-a area 13% and 87% was in and out of the red tide area. It was found that the accuracy of this detection is low. However if the accuracy was yearly splitted, its found that 75% accuracy on 2002 where visually red tide detected spead out to the off-shore area. The fail and false detection are not due to the failure of the detection method but caused by limitation of the technology due to the natural condition i.e. type of red tide spreading, cloud cover and other flags such as turbid water, stray light etc.p.19-2
- …
