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 3.3 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES
P O Adeniyi
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引用次数: 2

摘要

“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。”
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using remotely sensed data for census surveys and population estimation in developing countries: examples from Nigeria.

"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."

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来源期刊
Geocarto International
Geocarto International ENVIRONMENTAL SCIENCES-GEOSCIENCES, MULTIDISCIPLINARY
CiteScore
6.30
自引率
13.20%
发文量
407
审稿时长
>12 weeks
期刊介绍: Geocarto International is a professional academic journal serving the world-wide scientific and user community in the fields of remote sensing, GIS, geoscience and environmental sciences. The journal is designed: to promote multidisciplinary research in and application of remote sensing and GIS in geosciences and environmental sciences; to enhance international exchange of information on new developments and applications in the field of remote sensing and GIS and related disciplines; to foster interest in and understanding of science and applications on remote sensing and GIS technologies; and to encourage the publication of timely papers and research results on remote sensing and GIS applications in geosciences and environmental sciences from the world-wide science community. The journal welcomes contributions on the following: precise, illustrated papers on new developments, technologies and applications of remote sensing; research results in remote sensing, GISciences and related disciplines; Reports on new and innovative applications and projects in these areas; and assessment and evaluation of new remote sensing and GIS equipment, software and hardware.
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