利用地球观测数据和开源解决方案绘制贫民窟和模拟人口密度

T. Grippa, S. Georganos, S. Vanhuysse, M. Lennert, Nicholus Mboga, E. Wolff
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引用次数: 4

摘要

本文介绍了一系列框架,旨在通过非常高分辨率的图像绘制土地覆盖、土地利用和估计人口密度,并依赖于开源软件。利用高度信息和景观指标,贫民窟的位置和范围可以从城市的其他部分准确提取出来。此外,所开发的处理链可以处理大量数据,并在全市范围内产生有用的地理信息。所有的结果、方法和计算机代码对任何人和任何目的都是开放的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mapping slums and model population density using earth observation data and open source solutions
This paper presents a collection of frameworks aiming at mapping land cover, land use and estimate population densities from very-high resolution images and relying on open-source software. Using height information and landscape metrics, slums location and extent can be accurately extracted from the rest of the city. Moreover, the processing chain developed can deal with large amount of data and produce useful pieces of geographical information citywide. All the results, methods and computer code are available in open-access for anyone and any purpose.
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