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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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METODE DETEKSI TERUMBU KARANG DENGAN MENGGUNAKAN DATA SATELIT SPOT DAN PENGUKURAN SPEKTROFOTOMETER STUDI KASUS: PERAIRAN PANTAI RINGGUNG, KABUPATEN PESAWARAN Arief, Muchlisin
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 10 No. 2 (2013)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v10i2.3275

Abstract

Coral reefs are one of the spectacular ecosystems. These ecosystem provides good sand services, including protection from tropical storms, reef fisheries, opportunities for tourism and development of new pharmaceuticals. Coral reefs are marine resource that are to environmental changes (changes in water quality). it is very important to identify its status and monitor the changes of coralreef areas very often. Therefore, it is necessary to identify and monitor status changes as often as possible. This information is critical for conservation and sustainable development. This study focused on the identification of coral reefs by combining spectral information obtained from direct measurements in the field with the information band spectral remote sensing satellite SPOT. Based on the experiments, the correlation function which has the biggest correlation coefficient is a function obtained between the summation of the band (band1+band3) with the sum of spectral (spectral1 + spectral3). Based on the analsis, the methode/algorithm has been developed can identify/detect the shallow coral reefs/coral reefs-1 (depth of less than 1 meter) and not superficial coral reef/coral reefs-2 (depth of greater than 1 meters). Processing results show that Coral reefs-2 are found along the beach of Ringgung, while based on the calculation, around of the Tegal island there are 49 ha coral reefs-1, and 116 ha of Coral reefs-2, and around sandbar/sand arising surface water (area is 320 m²), the area coral reefs-1 are 12.38 ha and coral reef-2 in the area of approximately 42 ha.
ANALISIS MATHEMATIK FRAKTAL UNTUK KLASIFIKASI MENGGUNAKAN CITRA PENGINDERAAN JAUH SPOT-4 Arief, Muchlisin
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 11 No. 1 (2014)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v11i1.3298

Abstract

Fractal is a mathematical set that typically displays self-similar patterns. Fractal have two basic characteristic suitable for modeling the topography of the earth surface self similarity and randomness; Applications of fractal geometry in remote sensing rely heavily on estimates of the non integer fractal dimension (D). The fractal dimension is calculated using the model of Surface Area Triangular Prism (TPSA). Fractal dimension is used to observe the spatial repetition (morphologie) of surface. In this study, fractal dimension is used to observe the relative height of a building / object of surface in urban area. This paper described image analysis using non integer fractal dimension used to determining the height of an object relative to the others, then do grouping of the object height by thresholding method. The result of the whole proses is presented after the density slicing proses. The analysis showed that the fractal dimension of the homogeneous object/surface is smaller than the heterogeneous objects. Based on it’s fractal dimensional objects/buildings in Jakarta city (covering 1600 ha), can be grouped in 3 classes: very high object, high object and rather high object and there are approximately 178 ha using 9 x 9 windows and approximately 80 ha using 17 x 17 windows very high object. However, the results of this study are still in the early stages that the fractal dimension can quantitatively interprets spatial structure and spatial complexity of remote sensing data. Therefore, research needs to be followed up with the field measurements and very high resolution resolution data (such as IKONOS).
PENGEMBANGAN MODEL EKSTRAKSI SUHU PERMUKAAN LAUT MENGGUNAKAN DATA SATELIT LANDSAT 8 STUDI KASUS: TELUK LAMPUNG Arief, Muchlisin; Adawiah, Syifa W.; Parwati, Ety; Hamzah, Rossi; Prayogo, Teguh; Harsanugraha, Wawan K.
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 12 No. 2 (2015)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v12i2.3313

Abstract

ALGORITMA DUA DIMENSI UNTUK ESTIMASI MUATAN PADATAN TERSUSPENSI MENGGUNAKAN DATA SATELIT LANDSAT-8, STUDI KASUS: TELUK LAMPUNG Arief, Muchlisin; Adawiah, Syifa W.; Hartuti, Maryani; Parwati, Ety
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 13 No. 2 (2016)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.pjpdcd.2016.v13.a2517

Abstract

Remote sensing technique is a powerful tool for monitoring the coastal zone. Optical sensors can be used to measure water quality parameters Total Suspended Matter (MPT). In order to be able to extract information MPT, the satellite data need to be validated with in situ measurements that make the relationship between the reflectance band with concentration MPT measurement results. In this model, do the correlation between the measurement results with the reflectance values band 3 and band 4. then obtained a linear equation, then calculated using the argument of a ratio of 60:75 to each of the correlation coefficient, the obtained linear equation two Dimension T (X3, X4) = 2313.77 X3 + 4741.11 X4 + 314.95. Based on the concentration MPT of dated June 3, 2015 was lower than in the west to the east. this is because the east is already contaminated with the plant, effluent solids by humans, while the west for still many floating net fish, and mangrove. Based on the results of measurement and calculation results, is still far from perfect (accuracy 60%), one factor is the value thresholding, when determining the boundary between: clouds, sea, and land. Generally indicates that the model is still in need for repair.
METODE DUAL KANAL UNTUK ESTIMASI KEDALAMAN DI PERAIRAN DANGKAL MENGGUNAKAN DATA SPOT 6 STUDI KASUS : TELUK LAMPUNG Arief, Muchlisin; Adawiah, Syifa Wismayati; Parwati, Ety; Marpaung, Sartono
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 14 No. 1 (2017)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.pjpdcd.2017.v14.a2618

Abstract

Depth data can be used to produce seabed profile, oceanography, biology, and sea level rise. Remote sensing technology can be used to estimate the depth of shallow marine waters characterized by the ability of light to penetrate water bodies. One image that can estimate the depth is SPOT 6 which has three visible canals and one NIR channel with 6 meter spatial resolution. This study used SPOT 6 image on March 22, 2015. The image was first being dark pixel atmospheric corrected by making 30 polygons. The originality of this method was to build a correlation between the dark pixel value of red and green channels with the depth of the field measurement results, made on June 3 to 9, 2015. The algorithm derived experimentally consisted of: thresholding which served to separate the land by the sea and the correlation function. The correlation function was obtained: first correlating the observation value with each band, then calculating the difference of minimum pixel darkness value and minimum for red and green channel was 0.056 and 0.0692. The model was then constructed by using the comparison proportions, so that the linear equations were obtained in two channels: Z (X1, X2) = 406.26 X1 + 327.21 X2 - 28.48. Depth estimation results were for a 5-meter scale, the most efficient estimation with the smallest error relative mean occurred in shallow water depth from 20 to 25 meters, while the result of 10 meters scale from 20 to 30 meters and the estimated depth had similar patterns or could be said close to reality. This method was able to detect sea depths up to 25 meters and had a small RMS error of 0.653246 meters. Thus the two-channel method could offer a fast, flexible, efficient, and economical solution to map topography of the ocean floor.
SPECTRAL AND TEXTURAL CHARACTERISTICS OF THE LOWLAND TROPICAL RAIN FOREST OF JAMBI, SUMATERA WASRIN, UPIK ROSALINA; ARIEF, MUCHLISIN; SETIABUDHI, SETIABUDHI
BIOTROPIA No. 13 (1999)
Publisher : SEAMEO BIOTROP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11598/btb.1999.0.13.152

Abstract

Analyses of Landsat TM and SPOT multispectral data were performed with a very detailed description of the vegetation cover in the field to get a relevancy and consistency of digital image classification in a semi-automatic approach. Three main vegetation types, i.e. primary forest, logged-over forest and secondary forest after clear cut were analyzed and the microclimatic parameters were also measured to describe the ecological condition of the vegetation. Spectral and textural analysis of data obtained from field measurements and spectral reflectance values of the remote sensing data are the main topic of this report as one aspect of study on the Digital Method of Detection and Monitoring on Forest Ecosystem Change Using High Resolution Satellite Data funded by the Indonesian National Research Council. This study shows that spectral reflectance values alone cannot differentiate the logged-over forest from the primary forest, but it is very sharply distinguished from the secondary forest. As for the texture analysis, it is possible to distinguish the logged-over forest from the primary forest, as shown by different values of degree of Entropy, although spatially, it is still doubtful. Key words: Indonesia/Jambi/Tropical rain forests/lowland areas/Remote sensing/Vegetation Analysis/ Logged-over forests/Primary forests/Secondary forests.
METODE SEGMENTASI AUTOMATIS UNTUK EKSTRAKSI HUTAN MANGROVE MENGGUNAKAN DATA SATELIT AVNIR-2 STUDI KASUS: PULAU LANCANG (AUTOMATIC OF SEGMENTATION METHOD FOR EXTRACTION MANGROVE FOREST BY USING AVNIR-2 SATELLITE DATA CASE STUDY: LANCANG ISLAND) Arief, Muchlisin; Prayogo, Teguh; Hamzah , Rossy
Indonesian Journal of Aerospace Vol. 11 No. 1 Juni (2013): Jurnal Teknologi Dirgantara
Publisher : BRIN Publishing

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

Abstract

Proses segmentasi citra adalah sebuah proses pengolahan citra untuk memisahkan obyek dari background-nya, sehingga obyek tersebut dapat diproses untuk keperluan lainnya atau dianalisa untuk proses lebih lanjut. Banyak metode yang dapat digunakan untuk proses segmentasi, seperti menggunakan threshold, gradient ataupun laplacian. Secara umum proses segmentasi dibagi dalam tiga bagian: klasifikasi, berdasar tepi, dan berdasar daerah/region growing. Pada paper ini dijelaskan algorithma segmentasi yang dibagi dalam tiga tahapan yaitu: Melakukan operasi pengurangan antar band data AVNIR-2, menentukan region growing dan melakukan pengklasan kerapatan mangrove. Region growing ditentukan berdasarkan nilai hasil pengurangan antara band B13 (band1-band3) dan B24 (band2-band4) serta pasangan antara B12 (band1-band2) dan B34 (band3-band4). Kemudian nilai tersebut digunakan sebagai nilai ambang/threshold dalam menentukan klas kerapatan hutan mangrove. Berdasarkan hasil perhitungan luas hutan mangrove di Pulau Lancang adalah 17.24 ha. Hasil tersebut dibandingkan dengan data yang diperoleh dari BAPEDALDA pada tahun 2000, Hasil perbandingannya menunjukkan bahwa metode yang telah dibangun mempunyai akurasi/ketelitian 95.5%. yang dapat diartikan bahwa pemerinah DKI Jakarta bersama masyarakat telah berhasil melestarikan hutan mangrove dan hutannya bertambah ±0.7 ha dalam kurun waktu 9 tahun.
PENDEKATAN BARU PEMETAAN BATHIMETRIC MENGGUNAKAN DATA PENGINDERAAN JAUH SPOT STUDI KASUS: TELUK PERIGI DAN TELUK POPOH (THE NEW APPROACH TO MAPPING BATHIMETRIC USING SPOT REMOTE SENSING DATA CASE STUDY: THE BAY AND POPOH GULF) Arief, Muchlisin
Indonesian Journal of Aerospace Vol. 10 No. 1 Juni (2012): Jurnal Teknologi Dirgantara
Publisher : BRIN Publishing

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Abstract

Bathymetric mapping derived from remote sensing have been carried out researchers, in order to determine the depth of the shallow waters especially sallow water depth. Bathymetric relief map shows the earth/terrain depicted by contour lines is called the isobath. Usually bathymetric determination using exponential function of depth. While in this paper described a new approach to calculate the depth of seawater derived from SPOT-4 satellite data using empirical formulas functions of logarithmic or quadratic equation built through correlasi the depth map obtained from DIHIDROS (Navy) with Digital Number or the reflectance values of SPOT band-1. This experience has been tested at Perigi bay in Trenggalek district and Popoh bay in Tulung Agung district. Based on the calculations, the spread of sallow water depth on Perigi and popoh bay about 5 – 70 meters.
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 Vol. 12 No. 1 (2015)
Publisher : BRIN

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