Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Planta Tropika Geoid - Journal of Geodesy and Geomatics
Himawan, Iwan Qodar
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Engineering Environmental Science

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Tropical Vegetation and Land Cover Mapping Using LiDAR Nurcholis, Mohammad; Himawan, Iwan Qodar; Wijayanti, Syintianuri Intan; Darmaristianti, Ayu
PLANTA TROPIKA: Jurnal Agrosains (Journal of Agro Science) Vol 7, No 1 (2019)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/pt.2019.088.8-18

Abstract

LiDAR (Light Detection and Ranging) is a system of active remote sensing technology using a laser beam that has an invisible wave (Infrared) that can penetrate the leaf gap to produce topographic characteristics of the land surface. The research locations were in Tunas Baru Village Sekernan District, Muaro Jambi Regency, Jambi Province. The purpose of this study was to apply Airborne LiDAR technology along with interpretations in agriculture, especially land cover vegetation mapping in Jambi Province, which is a province that has a fairly extensive forest area. Speaking of that situation, a land cover map and classification are needed to find out which vegetation is dominant in the area. The data needed in this professional work class were DEM, DSM and orthophoto data to be processed into CHM (dataCrown Height Model) in order to facilitate digitization in determining density classes. At the same time, orthophoto was used to digitize the classification of vegetation types, which will produce output in the form of a map of land cover in Tunas Baru Village, Sekernan District, Muaro Jambi Regency, Jambi Province.
Tropical Vegetation and Land Cover Mapping Using LiDAR Nurcholis, Mohammad; Himawan, Iwan Qodar; Wijayanti, Syintianuri Intan; Darmaristianti, Ayu
PLANTA TROPIKA: Jurnal Agrosains (Journal of Agro Science) Vol 7, No 1 (2019)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/pt.2019.088.8-18

Abstract

LiDAR (Light Detection and Ranging) is a system of active remote sensing technology using a laser beam that has an invisible wave (Infrared) that can penetrate the leaf gap to produce topographic characteristics of the land surface. The research locations were in Tunas Baru Village Sekernan District, Muaro Jambi Regency, Jambi Province. The purpose of this study was to apply Airborne LiDAR technology along with interpretations in agriculture, especially land cover vegetation mapping in Jambi Province, which is a province that has a fairly extensive forest area. Speaking of that situation, a land cover map and classification are needed to find out which vegetation is dominant in the area. The data needed in this professional work class were DEM, DSM and orthophoto data to be processed into CHM (dataCrown Height Model) in order to facilitate digitization in determining density classes. At the same time, orthophoto was used to digitize the classification of vegetation types, which will produce output in the form of a map of land cover in Tunas Baru Village, Sekernan District, Muaro Jambi Regency, Jambi Province.
Pipeline Modeling using UAV LiDAR Technology Himawan, Iwan Qodar; Fitri, Listiyo; Widjajanti, Nurrohmat; Azizi, Iqbal Hanun
GEOID Vol. 19 No. 3 (2024)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v19i3.2271

Abstract

Pipelines play an important role in operations in energy supply companies, whether geothermal, gas, or petroleum. Pipeline damage, such as corrosion, dents, and leaks caused by natural or human factors, must be detected. Problems with pipeline assets will indirectly impact high production prices. Pipeline asset mapping must be carried out precisely, quickly, and quietly, considering that the existence of pipelines often causes social unrest. This research analyzed the capabilities of UAV LiDAR for mapping pipelines and support in a three km-long pipeline area. The study concluded that UAV LiDAR can map the position of the pipeline, its position to the ground, the position of the support, and the height of the support on a pipeline network with a diameter of 1 m. This capability applies not only to segments in open areas but also to those covered by vegetation. When orthophoto cannot display the pipeline's existence, the LiDAR point cloud can identify it. This main pipeline, which has a 1 m diameter, 3-D mesh, and 3-D models, can also be formed well. The accuracy of the resulting map is 11.5 cm at a confidence level of 90%. The length of time required from preparation to the presentation of the pipeline longitudinal profile map is eight calendar days with ten manpower.
Co-Authors Azizi, Iqbal Hanun Darmaristianti, Ayu Fitri, Listiyo Mohammad Nurcholis, Mohammad Nurrohmat Widjajanti Wijayanti, Syintianuri Intan