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Interpretability Evaluation of Annual Mosaic Image of MTB Model for Land Cover Changes Analysis
No full textTo verify whether the annual mosaic image of MTB model is acceptable for further digital analysis, it is necessary to evaluate the visual interpretability. The MTB model is an effort to integrate multi-scene and multi-temporal data, to obtain a minimum cloud cover mosaic image in locations that are often covered byclouds and haze. This study is to evaluate the interpretabilityofthe annual mosaic image for analysis of the land cover changes. The data used are the images of 2015, 2016, and 2017 covers a part of central Sumatra. Visual interpretations with a series of steps are used, starting with identification of the objects using interpretation keys, followed by spectral band correlations, scattergram analysis, and ended byconsistency assessment. The consistency assessment step is performed to determine the level of clearness and easiness of the objectrecognition in the annual mosaic images. The results showed that the most optimal spectral bands used for RGB combinations for visual interpretation were Band SWIR-1, Band NIR, and Band Red. Based on the evaluation results, the annual mosaic image of MTB model performed the consistent results of the clearness objects and the easiness of the object recognition. Thus the annual mosaic image of MTB model of 0.02x0.02 degree tile is acceptable for further digital processing as well as digital land cover analysis.Hlm. 934-94
Observation of temperature profiles of kototabang (bukittinggi-west sumatera Indonesia) using radiosonde and rain event identification
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Analisis Noise Pada Fiber Optic Gyroscope Dengan Perubahan Variabel Panjang Fiber Optik Dan Diameter Sensing Coil = Noise Analysis In Fiber Optic Gyroscope With Variable Changes In Fiber Optic Length And Coil Sensing Diameter
No full textFiber Optik Giroskop (FOG) merupakan salah satu sensor optik. Berfungsi menentukan posisisudut gerak benda. Peneliti dan engineer mulai berfikir bagaimana cara mengurangi derau/noise danmenganalisa penyebab noise untuk membuat sistem pengukuran yang memiliki akurasi yang tinggi. noise Angle Random Walk (ARW) merupakan salah satu kontribusi noise terbesar dalam sistem FOG. Pada penelitian ini bertujuan untuk mengetahui performa sistem pengukuran FOG dengan menganalisisnoise ARW. Diberikan konfigurasi pada sumber laser di 850 nm, diameter coil 2 dan 5 cm. Panjang seratoptik di 2 dan 2,5 km. Dari hasil simulasi yang dilakukan dengan software Matlab. Persamaan Noise ARW yang yang terjadi pada panjang gelombang akibat dari Rayleigh backscatter, Kerr effect dan fluktuasi dari polarisasi. Diketahui bahwa semakin besar diameter sensing coil, maka semakin kecil noise yang dihasilkan. Noise terkecil dari hasil simulasi didapatkan pada diameter 5 cm dan panjang serat optik di 2,5 km.Hlm.31-3
Acquisition performance of LAPAN-A3/IPB multispectral imager in real-time mode of operation
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(AUTOMATIC IDENTIFICATION SYSTEM (AIS) SATELIT DATA CORRECTION USING INTERPOLATION AND EXTRAPOLATION METHODE, (Case Study : LAPAN-A2 and LAPAN-A3 Satellite))
No full textAbstractNasional Institute Aerounautics and Space (LAPAN) has two satellites (LAPAN-A2 and LAPAN-A3) that are carry Automatic Identification System (AIS) sensors. It can be use for monitoring Indonesian maritime. The altitude of the satellite about 642 Km and 500 km so it has a wide area covered and receive big data. The problem is the AIS technology use the Time Division Multiple Access (TDMA) system that has limitations in handling big data so that some data received can be damaged due to collision. Therefore, in this research has been done the analysis and correction data using interpolation and extrapolation methods. The results is improvements of valid data about 22,6 % for LAPAN-A2 satellite and 20,8 % for LAPAN-A3 satellite.Hal. 159-16