Paper Info
Title
Integration Of Nighttime Light Remote Sensing Images And Taxi Gps Tracking Data For Population Surface Enhancement
Abstract
The population distribution grid at fine scales better reflects the distribution of residents and plays an important role in investigating urban systems. The recent years have witnessed a growing trend of applying the nighttime light data to the estimation of population at micro levels. However, using the nighttime light data alone to estimate population may cause the overestimation problem due to excessively high light radiance in specific types of areas such as commercial zones and transportation hubs. In dealing with this issue, this study used taxi trajectory data that delineate people's movements, and explored the utility of integrating the nighttime light and taxi trajectory data in the estimation of population in Shanghai at the spatial resolution of 500m. First, the initial population distribution grid was generated based on the NPP-VIIRS nighttime light data. Then, a calibration grid was created with taxi trajectory data, whereby the initial population grid was optimized. The accuracy of the resultant population grid was assessed by comparing it with the refined survey data. The result indicates that the final population distribution grid performed better than the initial population grid, which reflects the effectiveness of the proposed calibration process.
Year
DOI
Venue
2019
10.1080/13658816.2018.1555642
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
Keywords
Field
DocType
Population, nighttime light data, social sensing data, taxi trajectory data, NPP-VIIRS
Population,Computer science,Remote sensing,Tracking data,Global Positioning System,Distribution grid
Journal
Volume
Issue
ISSN
33
4
1365-8816
Citations 
PageRank 
References 
0
0.34
22
Authors
8
Name
Order
Citations
PageRank
Bailang Yu1132.69
Ting Lian200.68
Yixiu Huang3594.62
Shenjun Yao410.69
X. Ye515834.16
zuoqi chen610910.73
Chengshu Yang731.39
Jianping Wu8134.04