The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Population density is an essential indicator of human society. Night-time light (NTL) data provided by the Defense Meteorological Satellite Program's Operational Linescan System (DMSP-OLS) has been widely used in estimating population distribution, due to its capability of indicating human activity. The overglow effect of the DMSP-OLS NTL image caused by reflection of light from adjacent areas and...
Modeling human movement has recently received significant research interest due to its applications in disaster management, transportation planning, communication networks and epidemic modeling and prediction. Most of the prior human mobility studies use data which is coarse-grained, proprietary or limited in size. In contrast, this study utilizes a large amount of publicly available data from Twitter...
Nocturnal lighting is directly related to human activity and has been used in modeling population density. Mismatch of spatial scale between county and pixel results in noticeable discrepancy in Digital Number (DN). Consequently, this paper focuses on the limitation and proposes a method to model population density using the DMSP-OLS night-time data. MODIS land cover product was employed to identify...
In transportation planning, estimating the movement of people between a set of origins and destinations is a challenging task. This has been inferred in two way: from data on household socioeconomic attributes in each study zone or based on the characteristics of the study zones such as population, employment, number of cars, etc. However, developing these models can be difficult, especially in the...
This paper presents a methodology of estimating population at 15-m resolution from ASTER-based urban extent map and existing population grid data. We proposed two methods of estimating population: dasymetric mapping and regression model. Experiment for Tsuchiura City, Japan, and Pasig City, Philippines, showed visually good distribution of the estimated population at 15-m resolution. The data represented...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.