Applying Remote Sensing Technology and Geographic Information System in Batu, East Java
This research is aimed to map potential landslide areas, identify types of the landslide, and draw a map of potential landslide level. This research was carried out in Batu, East Java. The research design that was used in the study was image interpretation of Landsat 7 Band 432 Satellite and primary...
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Universitas Gadjah Mada
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doaj-ba549ff850d74758941c346bebfbf1fe2020-11-25T01:39:12ZengUniversitas Gadjah MadaIndonesian Journal of Geography0024-95212354-91142017-12-0149211812410.22146/ijg.1284219467Applying Remote Sensing Technology and Geographic Information System in Batu, East JavaRudi Hartono0Nasikh Nasikh1Faculty of Social Science, Universitas Negeri MalangFaculty of Economics, Universitas Negeri MalangThis research is aimed to map potential landslide areas, identify types of the landslide, and draw a map of potential landslide level. This research was carried out in Batu, East Java. The research design that was used in the study was image interpretation of Landsat 7 Band 432 Satellite and primary data of the landslide causes (the data of soil and rocks, map interpretation, and variable scoring of the landslide. ArcGIS 9.3 and ArcView 3.2 software was used for map analysis. The researcher also analyzed the soil texture, permeability and land plasticity index, bedding, weathering level, the density of joints, the depth of weathering, the existence of springs, slopes, and slope cutting. The research findings showed that the image of Landsat 7 Bands 432 in 1:11.000 – 1:15.000 scale could be used to interpret land use and land cover. Interpreted land use included housing, bare soil, irrigated rice field, rain-fed rice field, moor, nursery area, garden, slope failure, natural forest, sengon forest, pine forest, and agroforestry.https://jurnal.ugm.ac.id/ijg/article/view/12842landsat imageland unitslandslide |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Rudi Hartono Nasikh Nasikh |
spellingShingle |
Rudi Hartono Nasikh Nasikh Applying Remote Sensing Technology and Geographic Information System in Batu, East Java Indonesian Journal of Geography landsat image land units landslide |
author_facet |
Rudi Hartono Nasikh Nasikh |
author_sort |
Rudi Hartono |
title |
Applying Remote Sensing Technology and Geographic Information System in Batu, East Java |
title_short |
Applying Remote Sensing Technology and Geographic Information System in Batu, East Java |
title_full |
Applying Remote Sensing Technology and Geographic Information System in Batu, East Java |
title_fullStr |
Applying Remote Sensing Technology and Geographic Information System in Batu, East Java |
title_full_unstemmed |
Applying Remote Sensing Technology and Geographic Information System in Batu, East Java |
title_sort |
applying remote sensing technology and geographic information system in batu, east java |
publisher |
Universitas Gadjah Mada |
series |
Indonesian Journal of Geography |
issn |
0024-9521 2354-9114 |
publishDate |
2017-12-01 |
description |
This research is aimed to map potential landslide areas, identify types of the landslide, and draw a map of potential landslide level. This research was carried out in Batu, East Java. The research design that was used in the study was image interpretation of Landsat 7 Band 432 Satellite and primary data of the landslide causes (the data of soil and rocks, map interpretation, and variable scoring of the landslide. ArcGIS 9.3 and ArcView 3.2 software was used for map analysis. The researcher also analyzed the soil texture, permeability and land plasticity index, bedding, weathering level, the density of joints, the depth of weathering, the existence of springs, slopes, and slope cutting. The research findings showed that the image of Landsat 7 Bands 432 in 1:11.000 – 1:15.000 scale could be used to interpret land use and land cover. Interpreted land use included housing, bare soil, irrigated rice field, rain-fed rice field, moor, nursery area, garden, slope failure, natural forest, sengon forest, pine forest, and agroforestry. |
topic |
landsat image land units landslide |
url |
https://jurnal.ugm.ac.id/ijg/article/view/12842 |
work_keys_str_mv |
AT rudihartono applyingremotesensingtechnologyandgeographicinformationsysteminbatueastjava AT nasikhnasikh applyingremotesensingtechnologyandgeographicinformationsysteminbatueastjava |
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1725049909826027520 |