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Muchlisin Arief
Pusat Pemanfaatan Penginderaan Jauh
Aerospace Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Mechanical Engineering Physics

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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) Muchlisin Arief
Jurnal Teknologi Dirgantara Vol 10 No.1 Juni 2012
Publisher : National Institute of Aeronautics and Space - LAPAN

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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 Key words: Bathymetric, SPOT, Isobaths, Shallow water depth. correlation
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 (2011)
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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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. Keys word: Landsat, Coastal line change, Erosion, Sedimentation, Abrasion and Accretion 
PENGEMBANGAN MODEL EKSTRAKSI SUHU PERMUKAAN LAUT MENGGUNAKAN DATA SATELIT LANDSAT 8 STUDI KASUS: TELUK LAMPUNG (DEVELOPMENT MODEL OF SEA SURFACE TEMPERATURE EXTRACTION USING LANDSAT- 8 SATELLITE DATA, CASE STUDY: LAMPUNG BAY) Muchlisin Arief; Syifa W. Adawiah; Ety Parwati; Rossi Hamzah; Teguh Prayogo
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 12 No. 2 Desember 2015
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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Teluk Lampung merupakan daerah yang banyak memiliki keramba ikan kerapu, yang mana kualitas dan kuantitas airnya menjadi perhatian utama. Kualitas air ditentukan oleh faktor biologi, kimia, dan fisika. Salah satu parameter fisik adalah temperatur/suhu air. Banyak metode penentuan Suhu Permukaan Laut (SPL) menggunakan data satelit resolusi spasial menengah yang diturunkan dari satu band infra merah. Originality dari penelitian ini menggunakan fungsi yang diperoleh dari hasil korelasi antara temperatur pengamatan dengan temperatur kecerahan dari dua band infra merah. Tujuan penelitian ini adalah untuk mengembangkan pemodelan algoritma baru guna mengestimasi SPL menggunakan band 10 dan band 11 dari data satelit Landsat-8. Algoritma model ekstraksi SPL diperoleh melalui 3 tahapan, yaitu: Pertama melakukan koreksi geometrik dan mengkonversi nilai digital number ke nilai radiansi. Kedua adalah menghitung nilai temperatur kecerahan serta mengamati inteval temperaturnya. Kemudian mengkorelasikan temperatur pengukuran dengan temperatur kecerahan dari band 10 dan band 11, maka diperoleh persamaan polinomial orde 3 dalam 2 dimensi. Ketiga mengkorelasikan temperatur pengamatan in situ dengan temperatur kecerahan dari band 10 dan band 11 secara bersamaan (dalam 3 dimensi). maka diperoleh persamaan fungsi korelasi polinomial orde 3 dalam 3 dimensi. Fungsi untuk estimasi SPL adalah: T(X10,X11).= ?anXn10+bnXn11, yang mana koefisien/konstanta dari setiap orde ditentukan dari perkalian antara hasil perbandingan interval temperatur kecerahan (band 10 dan band 11) dengan konstanta setiap orde dari persamaan polinomial dalam 2 dimensi. Berdasarkan perbandingan antara temperatur hasil perhitungan dengan temperatur pengamatan, model estimasi SPL ini mempunyai kesalahan (RMSE) sebesar 21,15 % atau mempunyai ketelitian/akurasi sebesar 78,85 %.Kata-kunci: Algoritma, Landsat-8, Ekstraksi, Radiansi, Kecerahan temperatur, Polinomial, Suhu permukaan laut, Teluk Betung
PENGEMBANGAN METODE PENENTUAN INDEKS LUAS DAUN PADA PENUTUP LAHAN HUTAN DARI DATA SATELIT PENGINDERAAN JAUH SPOT-2 - Suwarsono; Muchlisin Arief; - Hidayat; Sayidah Sulma; Nanik Suryo H.; Heri Sulyantoro; Kuncoro Teguh Setiawan
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 8 (2011)
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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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 appropiate 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 acquisited 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. Key words: Leaf Area Index, Forest, Remote Sensing, SPOT-2 
Co-Authors - Hidayat - Suwarsono Ety Parwati Gathot Winarso Heri Sulyantoro Kuncoro Teguh Setiawan Nanik Suryo H. Rossi Hamzah Sayidah Sulma Syifa W. Adawiah Teguh Prayogo