Analyzing Land Use and Land Cover using Combined Landsat 8 and ALOS-2/PALSAR-2 Data-Case Study : Bandung Regency

Material type: 文書・図像類

Author: SUDIANA, Dodiほか

Publisher: Chiba University. Center for Environmental Remote Sensing

Publication date: 2016-11-21

Material Format: Digital

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Note (General)：: type:text[ABSTRACT]Bandung regency is one of the biggest regency in Indonesia with large number of population and rapid utilization of land. Land cove...

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Material Type: 文書・図像類
Title: Analyzing Land Use and Land Cover using Combined Landsat 8 and ALOS-2/PALSAR-2 Data-Case Study : Bandung Regency
Author/Editor: SUDIANA, Dodi
PURNAMANINGSIH, Retno Wigajatri
SULISTIYANINGSIH
SETIADI, Bambang
JOSAPHAT, Tetuko Sri Sumantyo
Author Heading: SUDIANA, Dodi
PURNAMANINGSIH, Retno Wigajatri
SULISTIYANINGSIH
SETIADI, Bambang
JOSAPHAT, Tetuko Sri Sumantyo
Publication, Distribution, etc.: Chiba University. Center for Environmental Remote Sensing
Publication Date: 2016-11-21
Publication Date (W3CDTF): 2016-11-21
Periodical title: Proceedings of the CEReS international symposium = CEReS国際シンポジウム資料集
No. or year of volume/issue: 24
Volume: 24
Pages: 442-451
Text Language Code: eng
Target Audience: 一般
Note (General): type:text
[ABSTRACT]Bandung regency is one of the biggest regency in Indonesia with large number of population and rapid utilization of land. Land cover monitoring is necessary to prevent any land misuses and natural disasters. A way to monitor land cover is to classify the land cover uses remote sensing technique. To achieve better accuracy level, we propose active and passive satellite data fusion to monitor the land cover changes during 2-year period. We combined active (ALOS-2/PALSAR-2) and passive (Landsat 8) satellite imageries using maximum likelihood to produce land cover changes with less atmospheric disruption. Maximum likelihood is a supervised classification method using reference (training sample) data and probability of a pixel to be clustered in a specific class. The use of joint processing data resulted in better accuracy (60%) comparing to ALOS-2/PALSAR- 2 only (40%). Residential area, barren land, and paddy fields/plantations during 2-year period (2014 and 2016) are increasing by 16.35%, 54.47%, and 88.08%, respectively. While forest is decreased by 27.62% in the same period.
Access Restrictions: 限定公開
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 千葉大学 : 千葉大学学術成果リポジトリ