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Using remotely sensed data for census surveys and population estimation in developing countries: examples from Nigeria. 在发展中国家使用遥感数据进行人口普查和人口估计:来自尼日利亚的例子。
IF 3.8 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 1987-01-01 DOI: 10.1080/10106048709354117
P O Adeniyi

"Using examples from Nigeria, this paper demonstrates how remotely sensed data can be used to acquire some of the basic data requirements for census surveys and to estimate population. The result obtained shows that visual identification of settlements on Landsat MSS and TM is more accurate and economical than equivalent digital classification techniques. Black and white aerial photographs were used to estimate the population of a model town and to establish EAs [enumeration areas]. The population estimation method employed can be used to obtain intercensal population estimates for the rapidly growing central places, while the established EAs for the study area have created a permanent base for future census surveys and census cross-validation, population estimation and other social surveys."

“本文以尼日利亚为例,展示了如何利用遥感数据获取人口普查和估计人口所需的一些基本数据。结果表明,基于Landsat MSS和TM的聚落视觉识别比等效的数字分类技术更准确、更经济。黑白航拍照片用于估计一个示范城镇的人口并建立ea[枚举区]。所采用的人口估计方法可用于快速增长的中心地区的人口普查期间的人口估计,而为研究地区建立的ea为未来的人口普查和人口交叉验证、人口估计和其他社会调查创造了永久的基础。”
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引用次数: 2
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