Urban expansion of Korhogo City (Côte d’Ivoire) using gis and nocturnal remote sensing

被引：0
作者：
Gaoussou Sylla
Talnan Jean-Honoré Coulibaly
Naga Coulibaly
Koffi Claude Alain Kouadio
Houebagnon Saint Jean Patrick Coulibaly
Souleymane Cissé
Kambiré Sie
Issa Camara
Kouadio Henri Joel N’guessan
机构：
[1] Nangui Abrogoua university,Laboratory of Geosciences and Environment
[2] San-Pédro university,Halieutic Resources and Agro
[3] PELEFORO GON COULIBALY university,Industry
来源：
Computational Urban Science | / 3卷
关键词：
Artificial light at night; Co-occurrence matrix; Wombling edge detection algorithm; Urban sprawl; Korhogo; Ivory Coast;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Temporal data series of stable Artificial Lights At Night (ALAN) obtained from sources such as DMSP/OLS and VIIRS/DNB provide valuable insights into the dynamics of urban expansion. This study introduces a novel methodology for characterizing urban boundaries, which combines textural analysis utilizing the Co-occurrence matrix and urban surface delineation employing the Wombling contour detection algorithm. Applying this method to the city of Korhogo in northern Côte d'Ivoire, the findings reveal an irregular and gradual evolution of urban surfaces between 1992 and 2012, with a rate of change of 35 km2. However, starting from 2012, a rapid urbanization process is observed, continuing until 2020, characterized by an evolution rate of approximately 45 km2. Considering the significant urban expansion witnessed in the city of Korhogo, it is imperative to implement appropriate urban management strategies and measures for ecosystem protection.
引用
收藏
相关论文
共 166 条
[11]  
Qiu B(2020)Urban mapping needs up-to-date approaches to provide diverse perspectives of current urbanization: A novel attempt to map urban areas with nighttime light data Landscape and Urban Planning 195 103709-464
[12]  
Yu B(2008)Monitoring and Modelling of Urban Sprawl Using Remote Sensing and GIS Techniques International Journal of Applied Earth Observation and Geoinformation 10 26-1746
[13]  
Davies TW(2018)Characterizing light pollution trends across protected areas in China using nighttime light remote sensing data ISPRS International Journal of Geo-Information 7 243-16088
[14]  
Smyth T(2017)Analysis of urbanization dynamics in mainland China using pixel-based night-time light trajectories from 1992 to 2013 International Journal of Remote Sensing 38 6047-748
[15]  
Duque JC(2017)A stepwise calibration of global DMSP/OLS stable nighttime light data (1992–2013) Remote Sensing 9 637-2812
[16]  
Lozano-Gracia N(2009)Bayesian wombling for spatial point processes Biometrics 65 1243-15
[17]  
Patino JE(2012)Extracting the Dynamics of Urban Expansion in China Using DMSP-OLS Nighttime Light Data from 1992 to 2008 Landscape and Urban Planning 106 62-6109
[18]  
Restrepo P(2015)Night-time light derived estimation of spatio-temporal characteristics of urbanization dynamics using DMSP/OLS satellite data Remote Sensing of Environment 158 453-1366
[19]  
Velasquez WA(2010)Mapping global urban areas using MODIS 500-m data: New methods and datasets based on ‘urban ecoregions’ Remote Sensing of Environment 114 1733-220
[20]  
Elvidge CD(2012)Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools Proceedings of the National Academy of Sciences 109 16083-undefined
12345678910