Land use balance determination using satellite imagery and geographic information system: case study in South Sulawesi Province, Indonesia
This study was conducted to produce a GIS-based land use/land cover (LULC) balance map for a certain period as a reference for policymakers in planning their future regional development. This study also measures supervised classification accuracy based on remote sensing and geographic information sy...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2021-03-01
|
Series: | Geodesy and Geodynamics |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1674984721000045 |
id |
doaj-8f4c469c7dc94cccb51a575e4ba3d430 |
---|---|
record_format |
Article |
spelling |
doaj-8f4c469c7dc94cccb51a575e4ba3d4302021-05-20T07:45:37ZengKeAi Communications Co., Ltd.Geodesy and Geodynamics1674-98472021-03-01122133147Land use balance determination using satellite imagery and geographic information system: case study in South Sulawesi Province, IndonesiaZubair Saing0Herry Djainal1Saiful Deni2Civil Engineering, Universitas Muhammadiyah Maluku Utara, Ternate, Indonesia; Corresponding author.Mining Engineering, Universitas Muhammadiyah Maluku Utara, Ternate, IndonesiaAdministration Science, Universitas Muhammadiyah Maluku Utara, Ternete, IndonesiaThis study was conducted to produce a GIS-based land use/land cover (LULC) balance map for a certain period as a reference for policymakers in planning their future regional development. This study also measures supervised classification accuracy based on remote sensing and geographic information system (GIS) integration with field conditions. In June 2005 satellite imagery 7 ETM+ was used as asset maps to assess land-use changes (LUC). Although in March 2019, the liability maps used satellite imagery 8 OLI/TIRS. Methods analysis consists of pre-image processing, image interpretation, random point, field check, and accuracy assessment. The image processing results were overlaid with an Indonesian topographic map to draw a LULC balance map. The findings indicate that in June 2005 and March 2019, each LULC had an assessment accuracy value of 82% and 86%, with a predicted assessment accuracy value of 18.05% and 20.50%, respectively. These findings are checked to determine the suitability performance of field-based imaging approaches based on the Cohen Kappa coefficient criteria of 0.45 and 0.48 for June 2005 and March 2019. Based on these results, the image processing precision and suitability were excellent since they are more than 80% and satisfy the Cohen Kappa performance criterion. Furthermore, geospatial data on the LULC balance map is essential as a guide for planners and decision-makers to plan their regional development.http://www.sciencedirect.com/science/article/pii/S1674984721000045Remote sensingImage processingGeospatial mapDevelopment plansLand useSouth Sulawesi |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zubair Saing Herry Djainal Saiful Deni |
spellingShingle |
Zubair Saing Herry Djainal Saiful Deni Land use balance determination using satellite imagery and geographic information system: case study in South Sulawesi Province, Indonesia Geodesy and Geodynamics Remote sensing Image processing Geospatial map Development plans Land use South Sulawesi |
author_facet |
Zubair Saing Herry Djainal Saiful Deni |
author_sort |
Zubair Saing |
title |
Land use balance determination using satellite imagery and geographic information system: case study in South Sulawesi Province, Indonesia |
title_short |
Land use balance determination using satellite imagery and geographic information system: case study in South Sulawesi Province, Indonesia |
title_full |
Land use balance determination using satellite imagery and geographic information system: case study in South Sulawesi Province, Indonesia |
title_fullStr |
Land use balance determination using satellite imagery and geographic information system: case study in South Sulawesi Province, Indonesia |
title_full_unstemmed |
Land use balance determination using satellite imagery and geographic information system: case study in South Sulawesi Province, Indonesia |
title_sort |
land use balance determination using satellite imagery and geographic information system: case study in south sulawesi province, indonesia |
publisher |
KeAi Communications Co., Ltd. |
series |
Geodesy and Geodynamics |
issn |
1674-9847 |
publishDate |
2021-03-01 |
description |
This study was conducted to produce a GIS-based land use/land cover (LULC) balance map for a certain period as a reference for policymakers in planning their future regional development. This study also measures supervised classification accuracy based on remote sensing and geographic information system (GIS) integration with field conditions. In June 2005 satellite imagery 7 ETM+ was used as asset maps to assess land-use changes (LUC). Although in March 2019, the liability maps used satellite imagery 8 OLI/TIRS. Methods analysis consists of pre-image processing, image interpretation, random point, field check, and accuracy assessment. The image processing results were overlaid with an Indonesian topographic map to draw a LULC balance map. The findings indicate that in June 2005 and March 2019, each LULC had an assessment accuracy value of 82% and 86%, with a predicted assessment accuracy value of 18.05% and 20.50%, respectively. These findings are checked to determine the suitability performance of field-based imaging approaches based on the Cohen Kappa coefficient criteria of 0.45 and 0.48 for June 2005 and March 2019. Based on these results, the image processing precision and suitability were excellent since they are more than 80% and satisfy the Cohen Kappa performance criterion. Furthermore, geospatial data on the LULC balance map is essential as a guide for planners and decision-makers to plan their regional development. |
topic |
Remote sensing Image processing Geospatial map Development plans Land use South Sulawesi |
url |
http://www.sciencedirect.com/science/article/pii/S1674984721000045 |
work_keys_str_mv |
AT zubairsaing landusebalancedeterminationusingsatelliteimageryandgeographicinformationsystemcasestudyinsouthsulawesiprovinceindonesia AT herrydjainal landusebalancedeterminationusingsatelliteimageryandgeographicinformationsystemcasestudyinsouthsulawesiprovinceindonesia AT saifuldeni landusebalancedeterminationusingsatelliteimageryandgeographicinformationsystemcasestudyinsouthsulawesiprovinceindonesia |
_version_ |
1721434678432366592 |