Elok Lestari Paramita, Elok Lestari
Alumni Teknik Geodesi & Geomatika, Institut Teknologi Bandung, Jl. Ganesa No.10 Bandung 40132.

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Survey Pemetaan Model Bangunan Tiga Dimensi (3D) Metode Terrestrial Laser Scanning untuk Dokumentasi As-Built Drawing Paramita, Elok Lestari; Hendriatiningsih, S.; Gumilar, Irwan; Wisayantono, Dwi
Jurnal Teknik Sipil Vol 21, No 2 (2014)
Publisher : Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1176.367 KB)

Abstract

Abstrak. Untuk mendapatkan informasi bangunan, dapat dilakukan as-built survey. Saat ini, teknologi pemindaian laser digunakan untuk teknik survey pemetaan tiga-dimensi (3D) yang disebut sebagai survey pengukuran dengan metode Terrestrial Laser Scanner (TLS). Salah satu aplikasi TLS adalah membuat visualisasi model 3D untuk dokumentasi as-built drawing. Pengukuran dengan metode TLS adalah melakukan pemindaian obyek dan merekam point-clouds 3D dalam jumlah yang besar untuk membentuk model 3D. Pemindaian dari titik-titik yang direncanakan agar memperoleh obyek yang bertampalan. Pada proses pengolahan data point-clouds, dilakukan registrasi dengan metode natural-point-feature, filtering, georeferencing dan wrapping untuk mendapatkan model 3D dengan menggunakan perangkat lunak Geomagic. Analisis registration adalah membandingkan error registrasi dengan ketelitian penentuan posisi (6mm) berdasarkan spesifikasi alat TLS. Di beberapa stand-point diperoleh error registrasi hingga mencapai 14,827 m. Untuk memperoleh error registrasi yang lebih kecil dari 6 mm, dilakukan registrasi secara bertahap. Dimensi bangunan berupa jarak pada model 3D dibandingkan dengan jarak yang diukur dengan alat ukur Electronic Total Station (ETS). Hasil ukuran jarak pada model 3D sama dengan hasil ukuran jarak ETS. As-built survey dapat dilakukan dengan teknik survey pengukuran 3D metode TLS.Abstract. To get the information of the building, it can be done as-built survey. Currently, laser scanner technology used for three-dimensional (3D) mapping survey is known as measurement survey technique by Terrestrial Laser Scanner (TLS) method. One application of TLS is to create 3D model for as-built drawings documentation. TLS instrument scans the object and records 3D point-clouds in large numbers to create 3D model. Scanning from the stand-points are planned in order to obtain the overlapped objects. In the point-clouds data processing, its activities are naturalpoint-feature registration, filtering, geo-referencing and wrapping to create 3D modeling using Geo-magic software. Registration analysis is to compare the registration error with a positioning accuracy (6mm) by means of the TLS instrument specification. Several stand-points are obtained registration error of up to 14.827 m. Furthermore, carried step by step registration in order to obtain registration error smaller than 6 mm. The dimensions of the building in the form of distance on the 3D model compared to the distance measured by Electronic Total Station (ETS) instrument. The results, measured distance on the 3D model is equal to measured distance by ETS instrument. As-built surveys can be done with 3D mapping survey technique by TLS method.
SPATIAL ANALYSIS OF LAND USE AND LAND COVER VARIATIONS AFFECTING TEA PRODUCTION IN GUNUNGMAS PLANTATION THROUGH REMOTE SENSING TECHNIQUES Paramita, Elok Lestari; Manessa, Masita Dwi Mandini; Tambunan, Mangapul Parlindungan
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 20, No 2 (2023)
Publisher : Ikatan Geografi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2023.v20.a3888

Abstract

Tea is a manufactured beverage that is popular around the world. In value chain analysis to increase efficiency, remote sensing technology can be developed to monitor the phenomenon of land use land cover (LULC) change and vegetation health conditions. This study aims to identify LULC in tea plantations, identify the health condition of tea plantations, then analyze spatial trends of changes in tea productivity in Gunungmas Afdeling-1 due to changes in tea area or tea vegetation health condition. Identification of changes in LULC in tea plantations can be carried out using remote sensing technology and machine learning, in this study, Google Earth Engine (GEE) LULC identification was generated using a supervised classification with the random forest algorithm on the GEE. Tea productivity trends decreased from 2019 to 2020, but increased from 2020 to 2021. They show that the trend of changes in the area of tea plantation classification is decreasing. According to the NDVI result, most of the reduced area of tea plantations is in areas with healthy vegetation. The trends in tea productivity changes are not in line with changes in the LULC area of tea plantation classification class and tea vegetation health condition.