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GEA, Jurnal Pendidikan Geografi
Published by Universitas Pendidikan Indonesia
ISSN : 14120313     EISSN : 25497529     DOI : -
Core Subject : Science, Education,
Earth & Planetary Sciences Education
Jurnal Geografi Gea is the information media academics and researchers who have attention to developing the educational disciplines and disciplines of Geography Education in Indonesia. GEA taken from the Greek Ghea means "God of Earth." Jurnal Geografi Gea provides a way for students, lectures, and other researchers to contribute to the scientific development of Geography Education. GEA received numerous research articles in the field of Geography Education Science and Geography.
Arjuna Subject : -
Articles 3 Documents
 1 
Search results for , issue " Vol 17, No 2 (2017)" : 3 Documents clear
STUDY OF AUTOMATIC DEM (DIGITAL ELEVATION MODEL) PROCEDURE USING SATELLITE IMAGES OF PLEIADES (CASE STUDY OF BANDUNG - WEST JAVA) Aryani, Dian Ika
Jurnal Pendidikan Geografi Gea Vol 17, No 2 (2017)
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/gea.v17i2.6220

Abstract

The topographic maps can be derived from Digital Elevation Model (DEM), which can be obtained from satellite imagery data extraction. This result might be achieved by using a Very High-Resolution Satellites (VHRS) Imagery, such as Pleiades Satellite. The main objective of this research is to review the procedures of Automatic DEM Extraction in order to obtain minimum error. The systematic implementations of this research are modeling the sensor, generating automatic tie point and performing automatic DEM extraction. The results of DEM extraction can be either point cloud data or mesh data which are verified by comparing the reference data. This is lead to acquire pairing combination of Pleiades imagery data which has the smallest error value among all of them. The comparison showed that the tri stereo pairing combination of the DEM extraction model has a lower accuracy than the backward – nadir pairing combination.
UTILIZATION OF TIN EXCAVATION PITS FOR WATER HYACINTH CULTIVATION CULTIVATION IN THE PROVINCE OF BANGKA BELITUNG ISLANDS Meyzilia, Arvina; Darsiharjo, Darsiharjo
Jurnal Pendidikan Geografi Gea Vol 17, No 2 (2017)
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/gea.v17i2.6758

Abstract

Bangka Belitung Province has large tin excavation pits. Water that fills the large aperture contains harmful metals that are difficult to utilize. To anticipate it, the tin excavation pit can be used as a medium of hyacinth cultivation. This study aims to examine the benefits of hyacinth cultivation in the tin excavation pit. The methods used are survey, literacy study, and documentation. The results show that the tin excavation pit can be used as a medium of water hyacinth cultivation. The cultivation of hyacinth in the tin excavation pit provides several benefits, i.e. (1) absorbing the metal content of Pb and Cd; (2) as biogas material to produce 3,425 MW of electricity; (3) hyacinth can "reclaim" naturally; and (4) as traditional handicraft material to increase economy.
PRELIMINARY STUDY NORMALIZED DIFFERENCE WATER INDEX IN THE RECHARGE AREA OF GROUND WATER OF BEKASI DISTRICT Darul, Achmad; Irawan, Dasapta Erwin; Roekmi, Raden Ajeng Koesoemo; Oktavia, Putu
Jurnal Pendidikan Geografi Gea Vol 17, No 2 (2017)
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/gea.v17i2.8134

Abstract

In term of groundwater conservation, the aim of this research is to identify normalized difference water index (NDWI) in rock composition region of Qav (conglomerate, sandstone, tuffaceous, tuff, and breccia) which is the recharge area of groundwater deposit in Kabupaten Bekasi, as identified by a stable isotope research in 2001. This research analyzes the NDWI mapping from open access data from high-resolution satellite images and multispectral Sentinel-2. The data is obtained from 20th May 2016 mapping on dry season. The analyze is conducted using QGIS open source software which is accommodated with semi-automatic classification open source plugin. The result shows that the NDWI can be classified into six categories from the lowest value of -1 (low index) to 1 (high index) in Kecamatan Cileungsi Kabupaten Bogor, Kecamatan Setu Kabupaten Bekasi and Kecamatan Bantargebang Kota Bekasi

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