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首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >ASSESSMENT OF LAND USE/LAND COVER CHANGE MAPPING IN BANGUI CITY USING REMOTE SENSING AND GIS TECHNIQUES
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ASSESSMENT OF LAND USE/LAND COVER CHANGE MAPPING IN BANGUI CITY USING REMOTE SENSING AND GIS TECHNIQUES

机译：利用遥感和GIS技术评估班吉市土地利用/陆地覆盖改变映射

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The security instability in the Central African Republic (CAR) forces the civilian population to flee the provinces to seek refuge in Bangui city, or in other countries. Human activity, which is very beneficial in the context of urbanization, is the main driving force of change in the city of Bangui, but also has a negative effect on the geoenvironment. Multispectral images data Landsat TM5, Landsat 7 ETM+ and Landsat-8 OLI of the years 1986, 2003 and 2020 was used to investigate Land use land cover (LULC) change of the city of Bangui. Maximum Likelihood (ML) classification algorithm was used to produce the map land use/land cover change detection in the study area. In Bangui city, four major classes have been identified, including vegetation, built-up, bare soil / rock and water. The analyses of the classified maps showed that Bangui city has been changed between 1986 and 2020, exceedingly area increased for built up (145.81%), vegetation (5.59%) and water (3.46%), it has however decreased for bare soil/ rock (40.60%). The overall accuracies and overall Kappa statistics achieved were 92.5%, 82.5% and 87.5%, and 0.90, 0.87 and 0.83 for 1986, 1999 and 2018 images, respectively.
机译：中非共和国（汽车）的安全不稳定力量迫使平民逃离省份在班吉市或其他国家寻求避难所。人类活动在城市化背景下非常有益，是班谷市城市变革的主要推动力，也对地理环境产生了负面影响。多光谱图像数据Landsat TM5，Landsat 7 Etm +和1986年的Landsat-8 Oli，用于调查班谷之城的土地利用土地覆盖（Lulc）变化。最大可能性（ML）分类算法用于生产研究区域的地图土地使用/陆地覆盖变化检测。在班吉市，已经确定了四个主要课程，包括植被，建成，裸露的土壤/岩石和水。分析地图的分析表明，班县城市在1986年至2020年之间发生了变化，由于建造（145.81％），植被（5.59％）和水（3.46％），它已经减少了裸土/岩石（40.60％）。达到的整体准确性和总体κ统计数据分别实现了92.5％，82.5％和87.5％，分别为1986年，1999年和2018年图0.90,0.87和0.83。

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