An integrated object-based image analysis and CA-Markov model approach for modeling land use/land cover trends in the Sarab plain

2017 ◽  
Vol 10 (12) ◽  
Author(s):  
Amin Naboureh ◽  
Mohammad Hossein Rezaei Moghaddam ◽  
Bakhtiar Feizizadeh ◽  
Thomas Blaschke
Keyword(s):  
Land Use ◽  
Image Analysis ◽  
Land Cover ◽  
Markov Model ◽  
Land Use Land Cover ◽  
Object Based Image Analysis ◽  
Object Based ◽  
Model Approach

Land cover and land use change analysis using multi-spatial resolution data and object-based image analysis

2018 ◽  
Vol 210 ◽  
pp. 259-268 ◽  
Author(s):  
Sory I. Toure ◽  
Douglas A. Stow ◽  
Hsiao-chien Shih ◽  
John Weeks ◽  
David Lopez-Carr
Keyword(s):  
Land Use ◽  
Image Analysis ◽  
Land Use Change ◽  
Land Cover ◽  
Spatial Resolution ◽  
Change Analysis ◽  
Object Based Image Analysis ◽  
Object Based ◽  
Resolution Data

scholarly journals The Mapping of Land Use Using Object-Based Image Analysis (OBIA) in Klaten Regency

2020 ◽  
Vol 202 ◽  
pp. 06036
Author(s):  
Nurhadi Bashit ◽  
Novia Sari Ristianti ◽  
Yudi Eko Windarto ◽  
Desyta Ulfiana
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Image Analysis ◽  
Satellite Imagery ◽  
Agricultural Land ◽  
Scale Parameter ◽  
Land Use Classification ◽  
Object Based Image Analysis ◽  
Object Based ◽  
Sentinel 2

Klaten Regency is one of the regencies in Central Java Province that has an increasing population every year. This can cause an increase in built-up land for human activities. The built-up land needs to be monitored so that the construction is in accordance with the regional development plan so that it does not cause problems such as the occurrence of critical land. Therefore, it is necessary to monitor land use regularly. One method for monitoring land use is the remote sensing method. The remote sensing method is much more efficient in mapping land use because without having to survey the field. The remote sensing method utilizes satellite imagery data that can be processed for land use classification. This study uses the sentinel 2 satellite image data with the Object-Based Image Analysis (OBIA) algorithm to obtain land use classification. Sentinel 2 satellite imagery is a medium resolution image category with a spatial resolution of 10 meters. The land use classification can be used to see the distribution of built-up land in Klaten Regency without having to conduct a field survey. The results of the study obtained a segmentation scale parameter value of 60 and a merge scale parameter value of 85. The classification results obtained by 5 types of land use with OBIA. Agricultural land use dominates with an area of 50% of the total area.

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