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The Identification of Fishing Ground Area with MODIS Satellite Image (Case Study: South Coast of West Java) Hakim, Dudung Muhally; Wikantika, Ketut; Widiadnyana, Nengah; Napitu, Asmi M.; Darmawan, Soni
Journal of Engineering and Technological Sciences Vol 38, No 2 (2006)
Publisher : ITB Journal Publisher, LPPM ITB

Â According to UNCLOS, Indonesian marine territorial covers an area equal to around 2.8 million square kilometers inner archipelagic seas. Though the Indonesian water region is very wide, the resource within it is not yet been exploited optimally. Indonesia still has problems that have to be copped with, including identification of marine fishing ground areas. This report proposes a technology to make the fish-catching be more efficient and effective with the help of MODIS satellite image in term of Surface Temperature and chlorophyll-a computation. Data conversion from digital number to Water Brightness Temperature are performed. The determination of potential fishing ground area were conducted based on temperature and chlorophyll-a parameters which serve as an indicator of upwelling and observations were carried out on parameters which show this phenomenon. Based on the result, during May 2004 the upwelling process were not happened yet, and it seems to occur in June 2004. It showes by the decreasing of water temperature in South Coast of West Java particularly between the border of West Java and Central of Java. This phenomenon acts as an indicator for the raising of primer productivity and will takes about one month after upwelling to the bloom of phytoplankton.

Pemanfaatan Unmanned Aerial Vehicle (UAV) Jenis Quadcopter untuk Percepatan Pemetaan Bidang Tanah (Studi Kasus: Desa Solokan Jeruk Kabupaten Bandung) Hartono, Dhiky; Darmawan, Soni
REKA GEOMATIKA Vol 2018, No 1
Publisher : Institut Teknologi Nasional

ABSTRAKPendaftaran Tanah Sistematik Lengkap (PTSL) merupakan kegiatan pendaftaran tanah untuk pertama kali yang dilakukan secara serentak di Indonesia. Program PTSL dimulai pada tahun 2016 dan ditargetkan selesai pada tahun 2025. Dengan luas darat Indonesia mencapai 2,01 juta km2, dibutuhkan teknologi yang dapat mempercepat program PTSL, di antaranya menggunakan pesawat tanpa awak (drone). Tujuan dari penelitian ini adalah untuk mengetahui sejauh mana kemampuan unmanned aerial vehicle (UAV) jenis Quadcopter untuk pemetaan bidang tanah yang ditinjau dari ketelitian, biaya, dan kecepatan. Daerah yang akan dikaji merupakan daerah yang sedang melaksanakan program PTSL yaitu Desa Solokan Jeruk Kecamatan Solokan Jeruk Kabupaten Bandung. Metodologi penelitian terdiri atas akuisisi data menggunakan UAV jenis Quadcopter dan proses pengolahan foto menggunakan perangkat lunak Agisoft Photoscan yang digeoreferensikan dengan ground control points (GCP) yang didapat dari pengamatan GPS Stop and Go. Hasil penelitian ini menunjukkan UAV jenis Quadcopter dapat mempercepat program PTSL dengan tingkat akurasi 96%, kecepatan penyediaan peta kerja atau peta dasar untuk program PTSL kurang dari 5 hari untuk luasan 1000 Ha, namun dengan biaya yang cukup tinggi.Kata Kunci: PTSL, UAV jenis Quadcopter, Ground Control Point (GCP)Â ABSTRACTComplete Systematic Land Registration (CSLR) is a land registration activity for the first time that is carried out simultaneously in Indonesia. The PTSL program was started in 2016 and targeted for completion by 2025. With Indonesia's land area reaching 2.01 million km2, technology is needed that can accelerate the CSLR program, one of which is using a drone. The purpose of this research is to know the extent of Unmanned Aerial Vehicle (UAV) capability of Quadcopter type for mapping of plot of land in terms of accuracy, speed, and economics. The study area is area that is being implemented the program, which located in the village of Solokan Jeruk, Solokan Sub-District, Bandung Regency. The research methodology consists of data acquisition by using UAV type Quadcopters and photo processing using Agisoft Photoscan software that will be georeferenced to the Ground Control Point (GCP) that is obtained from the GPS Real Time Kinematic observation using the Stop and Go method. The results of this study indicate that the UAV type Quadcopter can accelerate the CSLR program by providing 96% accuracy, and the speed of providing a work map or base map for CSLR program of less than 5 days for 1000 Ha, but at a high cost.Keywords: CSLR, UAV type Quadcopter, Ground Control Point (GCP)

Identifikasi Perubahan Garis Pantai dan Ekosistem Pesisir di Kabupaten Subang Handiani, Dian N; Darmawan, Soni; Hernawati, Rika; Suryahadi, Muhammad F; Aditya, Yohanes D
REKA GEOMATIKA Vol 2017, No 2
Publisher : Institut Teknologi Nasional

ABSTRAKPenelitian ini adalah kajian awal dari valuasi ekonomi atas manfaat dan jasa ekosistem di pesisir Subang. Faktor-faktor utama dalam valuasi adalah keberadaan ekosistem dan perubahan di pesisir, serta manfaat dan jasa ekosistemnya. Estimasi perubahan garis pantai dihitung berdasarkan tumpang susun data satelit Landsat tahun 1988, 1996, 2003, dan 2016. Estimasi menunjukkan terjadi perubahan garis pantai sebesar 8,17 km sejak tahun 1988-2013. Perubahan tersebut didominasi oleh sedimentasi dan abrasi sepanjang pantai. Sedimentasi tertinggi terjadi di Kecamatan Pusakanagara (869,9 ha) dan Blanakan (725,4 ha), serta abrasi tertinggi terjadi di Kecamatan Legonkulon (885,8 ha). Ekosistem alami yang berubah dan dimanfaatkan secara intensif di pesisir Subang adalah kawasan estuari dan mangrove. Sehingga mengakibatkan penurunan fungsi ekologi pada ekosistem tersebut. Adapun lahan tambak sebagai ekosistem buatan yang menggantikan kawasan mangrove, hanya berfungsi sebagai penyedia kebutuhan pangan. Penelitian ini menunjukkan perlunya valuasi ekonomi atas lahan mangrove versus budidaya tambak di Kecamatan Legonkulon, serta kawasan estuari yang berfungsi sebagai sarana transportasi di Kecamatan Pusakanagara.Kata kunci: garis pantai, ekosistem pesisir, erosi, sedimentasi, SubangABSTRACTThis research is a preliminary study for economic valuation of coastal services and goods in Subang Regency. Main factors in the valuation are ecological existing, changing, services and goods of coastal ecosystem. Coastline changes estimation was based on the overlay of Landsat satellite image at year of 1988, 1996, 2003, and 2016. Estimation shows since year of 1988 to 2013 there is changing of coastline around 8,17 km. The changes are dominantly caused by coastline sedimentation and abrasion. Higher sedimentation occured in Pusakanagara (869,9 ha) and Blanakan (725,4) Subdistrict, while highest abrasion occured in Legonkulon (885,8 ha) Subdistrict. Estuary and mangrove forests are natural ecosystem that had been used intensively and changing very excessively in this region. These changing causes degradation in functions of these ecosystems. Meanwhile, changing of mangrove forest into aquaculture only provides food. This research shows the necessity in economic valution of mangrove forest versus aquaculture in Legonkulon Subdistrict, and also estuary as transportation function in Pusakanagara Subdistrict.Keywords: coastline, coastal ecosystem, erosion, sedimentation, Subang

The Identification of Fishing Ground Area with MODIS Satellite Image (Case Study: South Coast of West Java) Dudung Muhally Hakim; Ketut Wikantika; Nengah Widiadnyana; Asmi M. Napitu; Soni Darmawan
Journal of Engineering and Technological Sciences Vol. 38 No. 2 (2006)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.eng.sci.2006.38.2.5

According to UNCLOS, Indonesian marine territorial covers an area equal to around 2.8 million square kilometers inner archipelagic seas. Though the Indonesian water region is very wide, the resource within it is not yet been exploited optimally. Indonesia still has problems that have to be copped with, including identification of marine fishing ground areas. This report proposes a technology to make the fish-catching be more efficient and effective with the help of MODIS satellite image in term of Surface Temperature and chlorophyll-a computation. Data conversion from digital number to Water Brightness Temperature are performed. The determination of potential fishing ground area were conducted based on temperature and chlorophyll-a parameters which serve as an indicator of upwelling and observations were carried out on parameters which show this phenomenon. Based on the result, during May 2004 the upwelling process were not happened yet, and it seems to occur in June 2004. It showes by the decreasing of water temperature in South Coast of West Java particularly between the border of West Java and Central of Java. This phenomenon acts as an indicator for the raising of primer productivity and will takes about one month after upwelling to the bloom of phytoplankton.

INCREASING ACCURACY VALUE IN THE ESTIMATES OF CARBON STOCK BY USING VEGETATION INDEX FROM ALOS AVNIR 2 SATELLITE IMAGERY Irland Fardani; Soni Darmawan; Dudung M Hakim; Agung Budi Harto; Ketut Wikantika
Geoplanning: Journal of Geomatics and Planning Vol 3, No 1 (2016)
Publisher : Department of Urban and Regional Planning, Diponegoro University

The existence of carbon stock began to be noticed by the public, especially after the global warming phenomenon, because one of the causes of global warming is the increasing amount of carbon in the atmosphere. There are several approaches that can be used to calculate carbon stocks, one of which is through remote sensing. In the study of carbon stocks in Meru Betiri National Park Indonesia, the vegetation index from ALOS-AVNIR satellite imagery is used to estimate carbon reserves by finding an exact equation. If it uses the Modified Soil Adjusted Vegetation Index (MSAVI) only, the correlation value is 0.49. Meanwhile, if Infrared Percentage Vegetation Index (IPVI) is used, the correlation value is 0.47. However, if some vegetation indices such as Soil-Adjusted Vegetation Index (SAVI), Normalize Difference Vegetation Index (NDVI) and Ratio Vegetation Index (RVI) are combined, the correlation value of the equation is 0.63. The comparison showed that by combining several variables of vegetation indices will increase the value of the correlation equation significantly.

Pemanfaatan Unmanned Aerial Vehicle (UAV) Jenis Quadcopter untuk Percepatan Pemetaan Bidang Tanah (Studi Kasus: Desa Solokan Jeruk Kabupaten Bandung) Dhiky Hartono; Soni Darmawan
REKA GEOMATIKA Vol 2018, No 1
Publisher : Institut Teknologi Nasional

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

ABSTRAKPendaftaran Tanah Sistematik Lengkap (PTSL) merupakan kegiatan pendaftaran tanah untuk pertama kali yang dilakukan secara serentak di Indonesia. Program PTSL dimulai pada tahun 2016 dan ditargetkan selesai pada tahun 2025. Dengan luas darat Indonesia mencapai 2,01 juta km2, dibutuhkan teknologi yang dapat mempercepat program PTSL, di antaranya menggunakan pesawat tanpa awak (drone). Tujuan dari penelitian ini adalah untuk mengetahui sejauh mana kemampuan unmanned aerial vehicle (UAV) jenis Quadcopter untuk pemetaan bidang tanah yang ditinjau dari ketelitian, biaya, dan kecepatan. Daerah yang akan dikaji merupakan daerah yang sedang melaksanakan program PTSL yaitu Desa Solokan Jeruk Kecamatan Solokan Jeruk Kabupaten Bandung. Metodologi penelitian terdiri atas akuisisi data menggunakan UAV jenis Quadcopter dan proses pengolahan foto menggunakan perangkat lunak Agisoft Photoscan yang digeoreferensikan dengan ground control points (GCP) yang didapat dari pengamatan GPS Stop and Go. Hasil penelitian ini menunjukkan UAV jenis Quadcopter dapat mempercepat program PTSL dengan tingkat akurasi 96%, kecepatan penyediaan peta kerja atau peta dasar untuk program PTSL kurang dari 5 hari untuk luasan 1000 Ha, namun dengan biaya yang cukup tinggi.Kata Kunci: PTSL, UAV jenis Quadcopter, Ground Control Point (GCP) ABSTRACTComplete Systematic Land Registration (CSLR) is a land registration activity for the first time that is carried out simultaneously in Indonesia. The PTSL program was started in 2016 and targeted for completion by 2025. With Indonesia's land area reaching 2.01 million km2, technology is needed that can accelerate the CSLR program, one of which is using a drone. The purpose of this research is to know the extent of Unmanned Aerial Vehicle (UAV) capability of Quadcopter type for mapping of plot of land in terms of accuracy, speed, and economics. The study area is area that is being implemented the program, which located in the village of Solokan Jeruk, Solokan Sub-District, Bandung Regency. The research methodology consists of data acquisition by using UAV type Quadcopters and photo processing using Agisoft Photoscan software that will be georeferenced to the Ground Control Point (GCP) that is obtained from the GPS Real Time Kinematic observation using the Stop and Go method. The results of this study indicate that the UAV type Quadcopter can accelerate the CSLR program by providing 96% accuracy, and the speed of providing a work map or base map for CSLR program of less than 5 days for 1000 Ha, but at a high cost.Keywords: CSLR, UAV type Quadcopter, Ground Control Point (GCP)

Identifikasi Perubahan Garis Pantai dan Ekosistem Pesisir di Kabupaten Subang Dian N Handiani; Soni Darmawan; Rika Hernawati; Muhammad F Suryahadi; Yohanes D Aditya
REKA GEOMATIKA Vol 2017, No 2
Publisher : Institut Teknologi Nasional

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

ABSTRAKPenelitian ini adalah kajian awal dari valuasi ekonomi atas manfaat dan jasa ekosistem di pesisir Subang. Faktor-faktor utama dalam valuasi adalah keberadaan ekosistem dan perubahan di pesisir, serta manfaat dan jasa ekosistemnya. Estimasi perubahan garis pantai dihitung berdasarkan tumpang susun data satelit Landsat tahun 1988, 1996, 2003, dan 2016. Estimasi menunjukkan terjadi perubahan garis pantai sebesar 8,17 km sejak tahun 1988-2013. Perubahan tersebut didominasi oleh sedimentasi dan abrasi sepanjang pantai. Sedimentasi tertinggi terjadi di Kecamatan Pusakanagara (869,9 ha) dan Blanakan (725,4 ha), serta abrasi tertinggi terjadi di Kecamatan Legonkulon (885,8 ha). Ekosistem alami yang berubah dan dimanfaatkan secara intensif di pesisir Subang adalah kawasan estuari dan mangrove. Sehingga mengakibatkan penurunan fungsi ekologi pada ekosistem tersebut. Adapun lahan tambak sebagai ekosistem buatan yang menggantikan kawasan mangrove, hanya berfungsi sebagai penyedia kebutuhan pangan. Penelitian ini menunjukkan perlunya valuasi ekonomi atas lahan mangrove versus budidaya tambak di Kecamatan Legonkulon, serta kawasan estuari yang berfungsi sebagai sarana transportasi di Kecamatan Pusakanagara.Kata kunci: garis pantai, ekosistem pesisir, erosi, sedimentasi, SubangABSTRACTThis research is a preliminary study for economic valuation of coastal services and goods in Subang Regency. Main factors in the valuation are ecological existing, changing, services and goods of coastal ecosystem. Coastline changes estimation was based on the overlay of Landsat satellite image at year of 1988, 1996, 2003, and 2016. Estimation shows since year of 1988 to 2013 there is changing of coastline around 8,17 km. The changes are dominantly caused by coastline sedimentation and abrasion. Higher sedimentation occured in Pusakanagara (869,9 ha) and Blanakan (725,4) Subdistrict, while highest abrasion occured in Legonkulon (885,8 ha) Subdistrict. Estuary and mangrove forests are natural ecosystem that had been used intensively and changing very excessively in this region. These changing causes degradation in functions of these ecosystems. Meanwhile, changing of mangrove forest into aquaculture only provides food. This research shows the necessity in economic valution of mangrove forest versus aquaculture in Legonkulon Subdistrict, and also estuary as transportation function in Pusakanagara Subdistrict.Keywords: coastline, coastal ecosystem, erosion, sedimentation, Subang

MANGROVE ABOVE GROUND BIOMASS ESTIMATION USING COMBINATION OF LANDSAT 8 AND ALOS PALSAR DATA Gathot Winarso; Yenni Vetrita; Anang D. Purwanto; Nanin Anggraini; Soni Darmawan; Doddy M. Yuwono
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 12, No 2 (2015)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Mangrove ecosystem is important coastal ecosystem, both ecologically and economically. Mangrove provides rich-carbon stock, most carbon-rich forest among ecosystems of tropical forest. It is very important for the country to have a large mangrove area in the context of global community of climate change policy related to emission trading in the Kyoto Protocol. Estimation of mangrove carbon-stock using remote sensing data plays an important role in emission trading in the future. Estimation models of above ground mangrove biomass are still limited and based on common forest biomass estimation models that already have been developed. Vegetation indices are commonly used in the biomass estimation models, but they have low correlation results according to several studies. Synthetic Aperture Radar (SAR) data with capability in detecting volume scattering has potential applications for biomass estimation with better correlation. This paper describes a new model which was developed using a combination of optical and SAR data. Biomass is volume dimension related to canopy and height of the trees. Vegetation indices could provide two dimensional information on biomass by recording the vegetation canopy density and could be well estimated using optical remote sensing data. One more dimension to be 3 dimensional feature is height of three which could be provided from SAR data. Vegetation Indices used in this research was NDVI extracted from Landsat 8 data and height of tree estimated from ALOS PALSAR data. Calculation of field biomass data was done using non-decstructive allometric based on biomass estimation at 2 different locations that are Segara Anakan Cilacap and Alas Purwo Banyuwangi, Indonesia. Correlation between vegetation indices and field biomass with ALOS PALSAR-based biomass estimation was low. However, multiplication of NDVI and tree height with field biomass correlation resulted R2 0.815 at Alas Purwo and R2 0.081 at Segara Anakan. Low correlation at Segara anakan was due to failed estimation of tree height. It seems that ALOS PALSAR height was not accurate for determination of areas dominated by relative short trees as we found at Segara Anakan Cilacap, but the result was quite good for areas dominated by high trees. To improve the accuracy of tree height estimation, this method still needs validation using more data.

AN EFFECTIVE INFORMATION SYSTEM OF DROUGHT IMPACT ON RICE PRODUCTION BASED ON REMOTE SENSING Rizatus Shofiyati; Wataru Takeuchi; Soni Darmawan; Parwati Sofan
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 11, No 2 (2014)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Long droughts experienced in the past are identified as one of the main factors in the failure of rice production. In this regard, special attention to monitor the condition is encouraged to reduce the damage. Currently, various satellite data and approaches can withdraw valuable information for monitoring and anticipating drought hazards. MODIS, MTSAT, AMSR-E, TRMM and GSMaP have been used in this activity. Meteorological drought index (SPI) of the daily and monthly rainfall data from TRMM and GSMaP have analyzed for last 10-year period. While, agronomic drought index has been studied by observing the character of some indices (EVI, VCI, VHI, LST, and NDVI) of sixteen-day and monthly MODIS, MTSAT, and AMSR-E data at a period of 4 years. Network for satellite data transfer has been built between LAPAN (data provider), ICALRD (implementer), IAARD Cloud Computing, University of Tokyo (technical supporter), and NASA. Two information system have been developed: 1) agricultural drought using the model developed by LAPAN, and 2) meteorological drought developed by Takeuchi (University of Tokyo).The accuracy study using quantitative method for LAPAN model uses VHI is 60% (Kappa 0,44), while that of for University of Tokyo model uses qualitative model with KBDI value 500-600 shows an early indication of drought for paddy field. This will help the government or field officers in rapid management actions for the indicated drought area.This paper describes the implementation and dissemination of drought impact monitoring model on the area of rice production center using an integrated information system satellite based model. The two developed information systems are effective for spatially dissemination of drought information.

Prediksi Perubahan Kawasan Hutan Mangrove Menggunakan Model Land Change Modeler Berbasis Citra Satelit Penginderaan Jauh Soni Darmawan; Elysabeth Nindy Nasing; Anggun Tridawati
Jurnal Tekno Insentif Vol 16 No 1 (2022): Jurnal Tekno Insentif
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah IV

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36787/jti.v16i1.663

Abstrak Kelurahan Oesapa Barat merupakan Kelurahan di Kecamatan Kelapa Lima Kota Kupang Indonesia yang memiliki hutan mangrove cukup luas namun terus mengalami kerusakan yang disebabkan oleh ulah manusia, sehingga upaya untuk menahan laju kepunahan hutan mangrove perlu dilakukan. Dalam upaya pengelolaan untuk menahan laju kepunahan hutan mangrove, diperlukan informasi berupa identifikasii area mana saja yang membutuhkan perhatian untuk pelestarian mangrove. Oleh sebab itu, dibutuhkan suatu metode yang dapat digunakan untuk monitoring perubahan luasan mangrove dari tahun ke tahun. Gambaran perubahan lahan di masa depanpun dibutuhkan untuk mendukung perencanaan, perlindungan, dan rehabilitasi hutan mangrove. Tujuan penelitian ini adalah mengetahui perubahan tutupan mangrove tahun 1996, 2006, 2016, dan memprediksi tutupan mangrove tahun 2026. Teknologi penginderaan jauh digunakan untuk menganalis penggunaan lahan melalui citra satelit Landsat (tahun 1996, 2006 dan 2016). Penelitian ini menggunakan integrasi citra landsat untuk memperoleh hasil klasifikasi tutupan lahan dan land change modeler untuk mengkaji dan memprediksi pola perubahan lahan mangrove. Hasil prediksi hutan mangrove menggunakan land change modeler menunjukan adanya tren peningkatan luasan mangrove sebesar 17,64 ha pada tahun 1996, 18,90 ha pada tahun 2006, 19,80 ha pada tahun 2016, dan 20,52 ha pada tahun 2026. Peningkatan luasan mangrove disebabkan oleh berhasilnya kegiatan rehabilitasi berupa penanaman mangrove di Pantai Kelurahan Oesapa Barat pada tahun 2002. Abstract Oesapa Barat Village is a sub-district in Kelapa Lima District, Kupang City, Indonesia where has a large mangrove forest but continues to decline by human activities, therefore the protection of mangroves is urgent. The purpose of this study was to determine mangroves' changes in 1996, 2006, 2016, and predict them in 2026. Remote sensing technology was used to analyze land use through Landsat satellite imagery (1996, 2006, and 2016). This research uses the integration of Landsat image to obtain land cover classification and land change modeler to analyze and predict mangrove land change patterns. The prediction results using land change modeler showed that there was a trend of increasing mangrove area by 17.64 ha in 1996, 18.90 ha in 2006, 19.80 ha in 2016, and 20.52 ha in 2026. The increase in mangrove areas was caused by the success of this activity. rehabilitation in the form of planting mangroves in West Oesapa Village Beach in 2002.

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