The Random Forest-Based Method of Fine-Resolution Population Spatialization by Using the International Space Station Nighttime Photography and Social Sensing Data

The Random Forest-Based Method of Fine-Resolution Population Spatialization by Using the International Space Station Nighttime Photography and Social Sensing Data

Despite the importance of high-resolution population distribution in urban planning, disaster prevention and response, region economic development, and improvement of urban habitant environment, traditional urban investigations mainly focused on large-scale population spatialization by using coarse-...

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Bibliographic Details
Main Authors: Kangning Li, Yunhao Chen, Ying Li
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Remote Sensing
Subjects:
Random Forest Regression
ISS photography
urban functional zones
point of interest
social sensing data
population spatialization
Online Access:http://www.mdpi.com/2072-4292/10/10/1650

Internet

http://www.mdpi.com/2072-4292/10/10/1650

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