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首页> 外文期刊>The Open Access Journal of Science and Technology >Use of Remote Sensing for Population Number Determination
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Use of Remote Sensing for Population Number Determination

机译:利用遥感确定人口数

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Ideally, in a country the population censuses are held regularly (five or ten-year intervals), population surveys, called “control surveys” are then conducted during the intercensal period. The latter, as well as the registers of civil status (information on the movements of the population), help determining a representative sample, called “scale model of the population.” Random, stratified and weighted, it has the advantage of providing a good statistical database for any generalizations about the target population with relatively little risk of error. Our study area, Bukavu city, doesn't comply with the classical scheme of data collection for two main reasons: - there are more than twenty years that real demographic censuses have been carried out in the province, the records of the `civil status is poorly maintained and often incomplete—if any!—Especially during this post-conflict period. A study was conducted in Bukavu City to determine the number of people living in this city. Two GeoEye satellite images of 50 cm resolution captured in July 2012 were used. A net of 200 × 200 meters was created with ArcGIS to divide the satellite images into regular cells. In total 2772 cells were created to cover the two satellite images but only 2353 cells were considered for classification. Three classes were identified in the satellite images according to houses density: High density, medium density and low density zones. Three samples were selected and for each different density type, a point map was created covering each house of the selected sample zones received a point. Using the three different density patterns, 95 highly populated zones were identified, 307 medium density zones and 800 low density zones having each respectively a total of 30'400, 46'050, and 40'000 houses. The population of the city was obtained by taking the number of houses times an average of 8, 7 and 6 habitants per house respectively in high, medium and low density zones. A total of 805550 habitants was obtained for Bukavu city which is almost the same number of people estimated (830'000) by the Inspection Provinciale de la Santé which is the health office in charge of vaccination campaign in South-Kivu Province. This method can be used whenever there is a need to quickly estimate the number of the population in a region where there is no census data.
机译:理想情况下,在一个国家中,定期进行人口普查(每隔五年或十年),然后在普查期间进行称为“对照调查”的人口调查。后者以及公民身份记录(有关人口流动的信息)有助于确定一个有代表性的样本,称为“人口规模模型”。它是随机的,分层的和加权的,具有为目标群体的任何概化提供良好统计数据库的优势,而且出错风险相对较小。我们的研究区域布卡武市不符合经典的数据收集方案,主要有两个原因:-该省进行了二十多年的真实人口普查,“公民身份记录是维护不善,而且常常不完整(如果有的话!),尤其是在冲突后时期。在布卡武市进行了一项研究,以确定在该市居住的人数。使用了2012年7月拍摄的两张50 cm分辨率的GeoEye卫星图像。使用ArcGIS创建了200×200米的网,将卫星图像划分为常规单元。共创建了2772个单元以覆盖两个卫星图像,但仅考虑2353个单元进行分类。根据房屋密度,在卫星图像中确定了三类:高密度,中密度和低密度区域。选择了三个样本,针对每种不同的密度类型,创建了一个点图,该图覆盖了所选样本区域的每个房屋都接收到一个点。使用这三种不同的密度模式,确定了95个人口稠密的区域,307个中等密度区域和800个低密度区域,每个区域分别具有30'400、46'050和40'000的房屋。通过将房屋数量乘以高,中和低密度区域中每户平均8、7和6位居民的数量得出城市人口。布卡武市共获得805550名居民,这与负责南基伍省疫苗接种运动的卫生办公室圣德拉省检查局估计的人数相同(830'000)。每当需要快速估计没有人口普查数据的区域中的人口数量时,都可以使用此方法。

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