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All Journal Forum Geografi Jurnal Geografi LIngkungan Tropik (Journal of Geography of Tropical Environments)
Suharyadi, R
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Earth & Planetary Sciences

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A COMPARATIVE STUDY OF VARIOUS INDICES FOR EXTRACTION URBAN IMPERVIOUS SURFACE OF LANDSAT 8 OLI Hidayati, Iswari Nur; Suharyadi, R
Forum Geografi Vol 33, No 2 (2019): December 2019
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v33i2.9179

Abstract

Impervious surface is one of the major land cover types of urban and suburban environment. Conversion of rural landscapes and vegetation area to urban and suburban land use is directly related to the increase of the impervious surface area. The impervious surface expansion is straight-lined with decreasing green spaces in urban areas. Impervious surface is one of indicator for detecting urban heat islands. This study compares various indices for mapping impervious surfaces using Landsat 8 OLI imagery by optimizing the different spectral characteristics of Landsat 8 OLI imagery. The research objectives are (1) to apply various indices for impervious surface mapping and (2) identifies impervious surfaces in urban areas based on multiple indices and provide recommendations and find the best index for mapping impervious surface in urban areas. In addition to utilizing the index, land use supervised classification method, maximum likelihood classification used for extracting built-up, and non-built-up areas. Accuracy assessment of this research used field data collection as primary data for calculating kappa coefficient, producer accuracy, and user accuracy. The study can also be extended to find the land surface temperature and correlate the impervious surface extraction data with urban heat islands.
EKSTRAKSI DIGITAL SURFACE MODEL (DSM) DARI DATA UNMANNED AERIAL VEHICLE (UAV) BERBASIS POINT CLOUD Laksana, Indra; Suharyadi, R; Hadi, M Pramono
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments) Vol. 3, No. 2
Publisher : UI Scholars Hub

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Abstract

Data acquisition using unmanned aircraft is increasingly being done. This study models elevation data from field measurements using unmanned aircraft. The purpose of this study: (1) to test the ability of unmanned aircraft to acquire elevation data, and (2) to compare elevation data if added point cloud data and bathymetry measurement data. The processing method using point cloud data is done by first matching key points. Matching key points links all aerial photography results to forming a single unit area that has been photographed. Next, a tie point is carried out in the area formed from matching key points. Tie points function as data correction when unmanned aircraft take data. Corrected aerial photos are then processed to obtain point cloud data. Point cloud is useful as orthophoto compiler data and Digital Surface Model (DSM) data. Point cloud data processing to produce DSM is done using Pix4D and Agisoft photoscan software. The results obtained showed that there was an increase in DSM capabilities when point cloud data was added to the tie point data and bathymetry measurement data. So, it can be concluded that data acquisition using unmanned aircraft is able to produce reliable data. Besides being reliable, data acquisition with unmanned aircraft is cheaper compared to data acquisition with aerial photography.
Co-Authors Indra Laksana Iswari Nur Hidayati M Pramono Hadi, M Pramono