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All Journal Statistika BIOTROPIA - The Southeast Asian Journal of Tropical Biology MAJALAH ILMIAH GLOBE International Journal of Remote Sensing and Earth Sciences (IJReSES) Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Indonesian Journal of Aerospace The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Muchlisin Arief
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Immunology & microbiology Industrial & Manufacturing Engineering Mathematics Veterinary

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APLIKASI DATA SATELIT SPOT – 4 UNTUK MENDETEKSI TERUMBU KARANG: STUDI KASUS DI PULAU PARI Arief, Muchlisin
MAJALAH ILMIAH GLOBE Vol 14, No 1 (2012)
Publisher : Badan Informasi Geospasial

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (84.707 KB) | DOI: 10.24895/MIG.2012.14-1.131

Abstract

Data satelit SPOT dapat digunakan untuk mendeteksi terumbu karang dan objek lainnya di dasar air atau perairan dangkal. Bagi negara yang mempunyai wilayah yang sangat luas, penggunaan teknologi penginderaan jauh merupakan salah satu alternatif yang tepat untuk inventarisasi terumbu karang, karena hanya membutuhkan waktu yang relatif singkat. Penggunaan algorithma Depth Invariant Index dari Lyzenga dengan menggunakan band1 dan band2 dapat digunakan sebagai koreksi data satelit dalam memetakan objek yang ada didasar perairan dangkal. Berdasarkan hasil klasifikasi objek di dasar perairan Pulau Pari terdiri dari 5 klas yaitu: karang yang muncul di permukaan laut seluas 15,2 ha, karang yang bercampur pasir seluas 230,06 ha, karang bercampur dengan pasir dan lamun seluas 220,68 ha dan karang yang termasuk jenis karang penghalang (barrier reef) seluas 245,24 ha.Kata Kunci: Terumbu Karang, SPOT, Perairan Dangkal, Indek Invariant KedalamanABSTRACTSPOT satellite data can be used to detect coral reefs and other shallow water objects. For country of vast area, the use of remote sensing technology is an appropriate alternative to inventory coral reefs because it only requires a relatively short time. The use of Depth Invariant Index algorithm of Lyzenga by using band-1 and band-2 can be used as satellite data correction in mapping the shallow waters objects. Based on the classification result, the object under shallow waters of Pari island consist of 5 classes, namely : coral that appear on the water surface area of 15.2 ha, coral mixed with sand of 230.06 ha, coral mixed with sand and seagrass of 220,68 ha, and pure coral which is barrier coral area of 245, 24 ha.Keywords: Coral Reef, SPOT, Shallow Waters, Depth Invariant Index
METODA KLASIFIKASI TETANGGA TERDEKAT UNTUK INVENTARISASI TUTUPAN LAHAN DENGAN MENGGUNAKAN DATA ALOS Arief, Muchlisin; Susanto, Susanto; Atriyon, Atriyon; Hawariyyah, Siti
MAJALAH ILMIAH GLOBE Vol 12, No 2 (2010)
Publisher : Badan Informasi Geospasial

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (313.755 KB) | DOI: 10.24895/MIG.2010.12-2.122

Abstract

Konsep klasifikasi terbimbing konvensional adalah terjadinya relasi antara informasiterlatih (training area) dengan hasil klasifikasi dalam mengkelaskan satu pixel ke dalam satu kelas. Salah satu kelemahan dari penentuan training area adalah akan menurunkan tingkat ketelitian citra, ketika proses penentuan pixel menjadi anggota kelas. Pada tulisan ini diterangkan algorithma klasifikasi dengan menggunakan software definiens yang didasarkan pada metoda pengambilan keputusan tetangga terdekat. Metode ini telah digunakan untuk menginventarisir objek dari citra ALOS tertanggal 10 Mei 2007 wilayah Provinsi Jawa Barat. Hasil analisa dan perhitungan objek yang dapat dikelaskan dengan metoda ini antara lain: man made object seluas 38.077,46 ha, lahan terbuka seluas 29.236,06 ha, tubuh air seluas 13.985,47 ha, sedangkan vegetasi jarang dan rapat berturut-turut seluas 42.988,47 ha dan 70.821,76 ha.Kata-Kunci : Klasifikasi Terbimbing, Segmentasi, Citra ALOS, Tetangga TerdekatABSTRACTIn the concept of conventional remote sensing supervised classification, the relationship between trained information and the classification result is one pixel belongs to one class. Once of limitation of training area process is decreasing the accuracy of image, caused The existence of mixed class can not accepted due to the assumption that had been taken during the classification and during the determination of pixel membership. In this paper explained the Algorithm of classification using Definiens software based on nearest neighbourhood method. This method has been applied to inventorying object using ALOS image at at Mei 10st, 2007 in the West Jawa Province. Based on calculation, the object can be classified by this method content : man made object area,38.077,46 ha, the open field area, 29.236,06 ha, water body area 13.985,47 ha, Beside that, the high and low density of vegetation area are 42.988,47 ha and 70.821,76 ha respectively.Key Words : Classification Supervised, Segmentation, ALOS Image, NearestNeighbourhood
Identifikasi dan Inventarisasi Ekosistem Gunung Api Ruang Menggunakan Data Landsat dan Quickbird Muchlisin Arief
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 14, No 1 (2014)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v14i1.1082

Abstract

Untuk melakukan inventarisasi dan mengidentifikasi ekosistem di Gunung api Ruang denganmenggunakan data satelit Landsat multispektral serta data multispektral dan pachromaticQuickbird, Beberapa metoda telah dicoba dari operasi antar band, indeks vegetasi normal sampaiklasifikasi. Dan yang mendekati kearah realita adalah metoda klasifikasi. Penggunaan datamultispektral yang digabungkan dengan band panchromatik menghasilkan kualitas citra klasifikasiyang lebih tajam dibandingkan hanya menggunakan data multispektral saja. Berdasarkan hasilanalisa, dalam kurun waktu kuran lebih tiga tahun perubahan ekosistem pemukiman bertambahsebesar 18.62 %. Semak belukar-2 (vegetasi rapat) berkurang sebesar 21.78 % dan semak belukar-1 (vegetasi jarang) bertambah sebanyak dua kali lipat luasnya. Hal ini menandakan bahwa banyaksemak belukar (daerah subur) dikonversi menjadi kebun dan lapisan lava akibat ltusan tahun 2002telah kembali ditumbuhi oleh tumbuhan atau telah bervegetasi. Sedangkan lapisan piroklastikbetambah luasanya yang menandakan bahwa gunung api Ruang sampai saat ini masihmengeluarkan batuan maupun material lainnya.
Pengembangan Metode Lyzenga untuk Deteksi Terumbu Karang di Kepulauan Seribu dengan Menggunakan Data Satelit AVNIR-2 Muchlisin Arief
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 13, No 2 (2013)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v13i2.1074

Abstract

Penelitian tentang deteksi terumbu karang dan objek dibawah perairan dangkal sudah banyakdilakukan di Indonesia. Akan tetapi penelitian yang dilakukan lebih banyak dengan pengukuranlangsung dilapangan. Metode yang dikembangkan dari metode yang pernah dilakukan oleh Lyzengadengan memanfaatkan teknologi peginderaan jauh. Metode deteksi terumbu karang Lyzengamenggunakan operator Depth Invarian Indexs (DII) dengan mengikut sertakan koreksi kolom airki/kj Global (nilai ki/kj yang sama untuk seluruh citra) dan nilai ki/kj dapat menentukanhomogenitas suatu region. Dengan asumsi bahwa suatu citra terdiri dari beberapa region homogen,maka pengembangan metode ini, menggunakan nilai Ki/kj regional artinya nilai tidak konstan untukseluruh (diambil dari beberapa region yang dianggap homogen). Metode ini telah diaplikasikanmenggunakan data satelit AVNIR-2 tanggal 3 Agustus 2009 untuk Kabupaten Kepulauan Seribu danhasil dari pemerosessannya lebih baik (mengandung sedikit kesalahan) bila dibandingkan denganmetode Lyzenga.
DEVELOPMENT OF DISSOLVED OXYGEN CONCENTRATION EXTRACTION MODEL USING LANDSAT DATA CASE STUDY: RINGGUNG COASTAL WATERS Muchlisin Arief
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 (3600.469 KB) | DOI: 10.30536/j.ijreses.2015.v12.a2667

Abstract

Water is a key component to the process of earth’s life. However, with increasing industrial development and anthropogenic activities, water quality has been decreased dramatically. Therefore, monitoring is necessary to anticipate the threat of contamination and to take effective action at all levels in local or central government. Methods or algorithms were proposed for detecting or mapping or extraction the concentrations of dissolved oxygen (DO) derived from Landsat remote sensing imagery using empirical formulation. The aim of this study to monitor the quality of coastal waters over large areas. The method begins with the calculation of water surface temperature derived from Landsat data, using the correlation function obtained by correlating the temperature measurement by the infrared band reflectance values. Then the image is used to calculate the concentration of DO using the correlation function. the correlation function is obtained by correlating the results of field measurements of DO with temperature. The study conducted in the Ringgung coastal waters located in Padang Cermin District, Pesawaran municipal conducted on August 7 to 11, 2012. Based on the analysis, dissolved oxygen concentration of Ringgung coastal waters is inversely proportional to the amount of fresh water entering the coastal waters and directly proportional to the aeration process. As a result, in June the concentration of dissolved oxygen near the beach (on shore water) greater than in the offshore water. While in August, the concentration of dissolved oxygen near the coast (on shore water) is lower than in the offshore water.
PENENTUAN SUHU PERMUKAAN LAUT DAN KONSENTRASI KLOROFIL UNTUK PENGEMBANGAN MODEL PREDIKSI SST/FISHING GROUND DENGAN MENGGUNAKAN DATA MODIS Suwargana, Nana; Arief, Muchlisin
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 1 No. 1 (2004)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v1i1.3086

Abstract

Research on oceanography application either in global scale or mesoscale requires sea surface temperature observation and imagery ocean color from satellite. LAPAN has done some observation on oceanography by using NOAA-AVHRR Satelit Data, as in determining the implemented sea surface temperature to determine fishing ground (fish catching area), etc. However, by launching the new satellite that TERRA Satellite that brings spectral multi sensor (MODIS data/Moderate Imaging Spectroradiometer), the research is tried by using MODIS data. The aim of this research is to determine sea surface temperature distribution and to see klorofill content distribution by using MODIS data in order to determine the phenomena of upwelling and front. The method that is carried out in this research is by using algoritma from (Minnet, 2001) for sea surface temperature and (Relly, 1998) for klorofill concentration, and to converse the radiance value [band 21 and band 32] of MODIS image to sea surface temperature value and conversion of two-channel ratio of visible area [band 9 and 12] to the value of the klorofill content. The result of the research shows that algoritma development model whether for sea surface temperature or cholorophyll concentration gives the value of spatial distribution that generally is close to what has been obtained from NOAA-AVHRR satellite data or SeaWhifs. However, the above result still require the detailed development and validation.
PENGEMBANGAN METODE PENENTUAN INDEKS LUAS DAUN PADA PENUTUP LAHAN HUTAN DARI DATA SATELIT PENGINDERAAN JAUH SPOT-2 Suwarsono, Suwarsono; Arief, Muchlisin; Hidayat, Hidayat; Sulma, Sayidah; Suryo H, Nanik; Sulyantoro, Heri; Setiawan, Kuncoro Teguh
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 8 No. 1 (2011)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v8i1.3250

Abstract

It is necessary to develop the methods of Leaf Area Index (LAI) estimation based on satellite remote sensing data as first step to study the carbon storage and carbon emission which affect to global climate change. Direct measurements of Leaf Area Index in the field are expensive, take a long time, and so inefficient. The application of remote sensing data may gives an appropriate solution for Leaf Area Index estimation by more efficient and effective. Objective of the research is to develop the method of Leaf Area Index estimation by using remote sensing data. The method of Leaf Area Index estimation will be developed by using the reference method taken from back up algorithm of the Algorithm Theoretical Basis Document (ATBD) MOD15. The research will try to develop the model and applicate it for another remote sensing data, especially those of acquired or distributed by Indonesian National Institute of Aeronautics and Space (LAPAN) such as SPOT-2. Results of the research show that the LAI based on MOD 15 has low correlation with the measured LAI, but the measured LAI has good correlation with NDVI from SPOT-2 for forest area.
KAJIAN PERUBAHAN GARIS PANTAI MENGGUNAKAN DATA SATELIT LANDSAT DI KABUPATEN KENDAL Arief, Muchlisin; Winarso, Gathot; Prayogo, Teguh
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 8 No. 1 (2011)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v8i1.3253

Abstract

Indonesia has the second longest of coastal line in the world. The change of coastal line is generated by sediment transport from the upland and the sea or generated by coming energies of sea current and wave. Coastal line change have been analyzed by multi-temporal analysis using Landsat Series Satellite (MSS, TM and ETM+). Visual interpretation of RGB 542 was done to identify coastal line, and using other combination if necessary. Based on analysis of Landsat data the coastal lines length on 1972, 1991, 2001 and years 2008 was 43.172 m, 52.646 m, 50.171 m, 53.827 m, respectively, and the change of coastal lines occurred dominant along the capes and the bays and the other places was not significantly changed. Based on Landsat satellite data analysis, in 1972 to 1991 period the abrasion and accretion occurred on 765,14 ha and 356,00 ha area, in 1991 to 2001 period were 90,64 ha and 261,89 ha, in period 2001 to 2008 were 111,67 ha and 80,37 ha.
PEMETAAN MUATAN PADATAN TERSUSPENSI MENGGUNAKAN DATA SATELIT LANDSAT (STUDI KASUS: TELUK SEMANGKA) Arief, Muchlisin
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 9 No. 1 (2012)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v9i1.3260

Abstract

Total Suspended Matters (TSM) defined all solids or particles with a larger size 1 µm that are suspended in water resulting in decreased quality of water until the water can not be used as intended. There are various methods that have been made in mapping the TSM based on remote sensing satellite data both low and high resolution. This paper describes TSM mapping which TSM algorithm was directly applied to the digital number value of Landsat image. The mapping process was preceded by a thresholding method to separate the water with other objects (clouds, cloud shadows and the mainland), then the TSM concentration was calculated through the algebraic sum of band 1, 2, 3, and 4 and ended with density slice range process. Based on the TSM analysis, the TSM concentration in the Semangka Gulf was caused by human waste and also the material carried by streams of water from ponds and sewage waste soil erosion. TSM concentration areas was spread out in water of the Wonosobo District until 640 meters of spreading length and Kota Agung Timur districts until 3240 meters of spreading length.
PENGEMBANGAN METODE PENDUGAAN KEDALAMAN PERAIRAN DANGKAL MENGGUNAKAN DATA SATELIT SPOT-4. STUDI KASUS: TELUK RATAI, KABUPATEN PESAWARAN Arief, Muchlisin; Hastuti, Maryani; Asriningrum, Wikanti; Parwati, Ety; Budiman, Syarif; Prayogo, Teguh
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 10 No. 1 (2013)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v10i1.3267

Abstract

Bathymetric estimation of shallow water depth using satellite remote sensing data becomes more prevalent. However, when these methods are implemented for areas with different environments, the results indicate the presence of irregularities. To minimize the deviation, conducted the merger of the information obtained from field measurements with reflectance values SPOT-4 satellite imagery. This paper proposed the method development for bathymetric estimation of shallow water depth based on the correlation function between the depth value of direct measurements using a "handheld echo-sounder" to the resultant of reflectance values (band 1 and band 3). The algorithm for bathymetric estimation of a shallow water depth consists of thresholding method and correlation functions. Threshold value (T) depth of 0.5 meters is determined from observations of the correlation function graph polynomial from five and magnitude is 0.35 <T <0.47. Based on the results of the calculations show that the SPOT-4 satellite data can be used to estimate the shallow water depths up to approximately 18 meters.
Co-Authors Adawiah, Syifa W. Atriyon Atriyon, Atriyon Ety Parwati Gathot Winarso, Gathot Hamzah , Rossy Hastuti, Maryani Hidayat Hidayat Kuncoro Teguh Setiawan, Kuncoro Teguh Maryani Hartuti, Maryani Nana Suwargana Rossi Hamzah, Rossi Sartono Marpaung, Sartono Sayidah Sulma, Sayidah Setiabudhi, Setiabudhi Siti Hawariyyah, Siti Sulyantoro, Heri Suryo H, Nanik Susanto Susanto Suwarsono Suwarsono Syarif Budiman Syifa Wismayati Adawiah, Syifa Wismayati Teguh Prayogo WASRIN, UPIK ROSALINA Wawan K. Harsanugraha, Wawan K. Wikanti Asriningrum, Wikanti