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Muchlisin Arief
Indonesian National Institute of Aeronautics and Space (LAPAN)
Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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PENENTUAN SUHU PERMUKAAN LAUT DAN KONSENTRASI KLOROFIL UNTUK PENGEMBANGAN MODEL PREDIKSI SST/FISHING GROUND DENGAN MENGGUNAKAN DATA MODIS Nana Suwargana; Muchlisin Arief
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.
DISTRIBUSI SPASIAL HOT SPOT DAN SEBARAN ASAP INDIKATOR KEBAKARAN HUTAN/LAHAN DI PULAU SUMATERA DAN KALIMANTAN TAHUN 2002 Any Zubaidah; Muchlisin Arief
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.v1i1.3091

Abstract

Forest/land fire in Indonesia occurs almost every year. Itis merely due to natural factor, but due to human's activity as well like in opening of new land for agriculture purpose or plantation, or forming of land/land clearing. Fire that is indicated by the existenceof hot spot can be monitored daily using near infra-red channel and thermal (channel 3 and 4) from NOAA-AVHRR satellite data (National Oceanic and Atmospheric Radiometer-Advanced Very High Resolution Radiometer). Pursuant to the daily hot spot monitoring in Sumatera in the year 2002, forest/land fire has occurred since January until December, while in Kalimantan, it start in March until December. The fluctuation of hot spot in the year 2002 has almost the same pattern with the year 1997's, where the peak of fire occurred in September in Kalimantan Island and in October in Sumatera Island. Besides, pursuant to NOOA and Feng Yun data, haze distribution that occurred in the year 2002 was not too significant and haze distributions that mostly took place in September in Kalimantan and in October in Sumatera. Degradation of fire activity occurs in the following month where the fire in the two island drop along with the increasing of rainfall in the two island.
ANALISIS KESESUAIAN PERAIRAN TAMBAK DI KABUPATEN DEMAK DITINJAU DARI NILAI KLOROFIL-A, SUHU PERMUKAAN PERAIRAN, DAN MUATAN PADATAN TERSUSPENSI MENGGUNAKAN DATA CITRA SATELIT LANDSAT ETM 7+ Muchlisin Arief; Lestari Laksmi W.
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 3 No. 1 (2006)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v3i1.3185

Abstract

PENGEMBANGAN METODE PENENTUAN INDEKS LUAS DAUN PADA PENUTUP LAHAN HUTAN DARI DATA SATELIT PENGINDERAAN JAUH SPOT-2 Suwarsono Suwarsono; Muchlisin Arief; Hidayat Hidayat; Sayidah Sulma; Nanik Suryo H; Heri Sulyantoro; Kuncoro Teguh Setiawan
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 Muchlisin Arief; Gathot Winarso; Teguh Prayogo
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) Muchlisin Arief
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 Muchlisin Arief; Maryani Hastuti; Wikanti Asriningrum; Ety Parwati; Syarif Budiman; Teguh Prayogo
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.
METODE DETEKSI TERUMBU KARANG DENGAN MENGGUNAKAN DATA SATELIT SPOT DAN PENGUKURAN SPEKTROFOTOMETER STUDI KASUS: PERAIRAN PANTAI RINGGUNG, KABUPATEN PESAWARAN Muchlisin Arief
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 Muchlisin Arief
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 Muchlisin Arief; Syifa W. Adawiah; Ety Parwati; Rossi Hamzah; Teguh Prayogo; Wawan K. Harsanugraha
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

Co-Authors Any Zubaidah Ety Parwati Gathot Winarso Heri Sulyantoro Hidayat Hidayat Kuncoro Teguh Setiawan Lestari Laksmi W. Maryani Hartuti Maryani Hastuti Nana Suwargana Nanik Suryo H Rossi Hamzah Sartono Marpaung Sayidah Sulma Suwarsono Suwarsono Syarif Budiman Syifa W. Adawiah Syifa Wismayati Adawiah Teguh Prayogo Wawan K. Harsanugraha Wikanti Asriningrum