Countries, such as India, conduct a census collection every ten years. Currently census in India is carried out manually, therefore suffering from a number of shortcomings including inconsistency issues, the Modifieable Areal Unit problem census method using satellite images capture at night by DMSP-OLS satellites to overcome some of these drawbacks. the lights on the earth surface captured by this satellite represent areas of human habitation. Correlations between stable lights and brightness information with available census metrics from the last Indian census (2001) were calculated using bootstrapping techniques. Linear regression and multivariate analyses were subsequently performed and models proposed for each of the selected census metrics (e.g population density, number of households per square Kilometre, percentage of households with cars, jeeps and vans, Per Capita District r2 of 0.8 to 0.9 at the 95% confidence interval. Census metrics unavailable at spatial scales lower than districts were also predicted using the proposed models and maps were derived showing the predicted measures. The results demonstrate that DMSP-OLS night-time images may be successfully used to estimate census variables in real time.
Details
Title
The role of satellite data in census: Case study of an Indian State
Authors
K Roychowdhury (Author) - RMIT University
S Jones (Author) - RMIT University
C Arrowsmith (Author) - RMIT University
K Reinke (Author) - RMIT University
Anthony Bedford (Author) - RMIT University
Publication details
Proceedings of the Asia-Pacific Advanced Network, pp.207-218