2012 ©
             Publication
Journal Publication
Research Title Urban Land Cover Extraction of Thaichote Satellite Imagery Using Geographic Object-Based Image Analysis 
Date of Distribution 18 May 2018 
Conference
     Title of the Conference 9th International Graduate Research Conference Graduate Research and Innovation for Economic and Social Sustainability 
     Organiser Graduate School Maejo University 
     Conference Place The Empress Chiang Mai Hotel 
     Province/State Chiang Mai, Thailand 
     Conference Date 25 May 2018 
     To 25 May 2018 
Proceeding Paper
     Volume
     Issue
     Page 223-251 
     Editors/edition/publisher Graduate School, Maejo University 
     Abstract This study aimed to explore capabilities of Thaichote (formerly known as THEOS) satellite imagery for land use/land cover extraction in urban and suburban area. Land use/land cover map of Khon Kaen metropolitan and suburban areas was extracted from Thaichote satellite image using geographic object-based image analysis (GEOBIA) techniques. Normalized difference vegetation index (NDVI), Normalized difference water index (NDWI), Built-up area index (BAI) and Principal component analysis (PCA) were derived from tmospheric corrected reflectance data of the Thaichote's four spectral bands, and were used as inputs for GEOBIA in addition to the standard Red, Green, Blue, and Near-infrared bands. Hierarchical image segmentation was performed to split the multi-spectral satellite image into homogenous regions and objects. Expert rule set based on the objects' color, shape, texture, and contextural were developed to classify land use/land cover of objects within the city's metropolitan and suburban areas with the help of SEaTH (Separability and Threshold) tool. The classified land use/land cover objects included road, residential area, gated housing complex, commercial area, bare soil, water body (clear and turbid) and vegetation area (dense and sparse). The land use/land cover map provided a quick and accurate geographic information around Khon Kaen city, which can be used effectively in change analysis for urban and regional planning. 
Author
587020064-4 Mr. SARUN APICHONTRAKUL [Main Author]
College of Computing Doctoral Degree

Peer Review Status มีผู้ประเมินอิสระ 
Level of Conference นานาชาติ 
Type of Proceeding Full paper 
Type of Presentation Oral 
Part of thesis true 
Presentation awarding false 
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