What Can Nighttime Lights Tell Us about Bangladesh?
Wahed, Muntasir, Rizvee, Redwan Ahmed, Haque, Riddho Ridwanul, Ali, Amin Masud, Zaber, Moinul and Ali, Ahsan Amin, "What Can Nighttime Lights Tell Us about Bangladesh?" 2020 IEEE Region 10 Symposium (TENSYMP 2020), Dhaka, 2020/06/05-07.
Document type:
Conference Publication
Collection:
-
Related Links Link Description 
https://ieeexplore.ieee.org/document/9230806 Paper on publisher's website
http://dx.doi.org/10.1109/TENSYMP50017.2020.9230806 Full text from publisher -
Sub-type Conference paper Author Wahed, Muntasir
Rizvee, Redwan Ahmed
Haque, Riddho Ridwanul
Ali, Amin Masud
Zaber, Moinul
Ali, Ahsan AminTitle What Can Nighttime Lights Tell Us about Bangladesh? Event Series IEEE Region 10 Symposium (TENSYMP) Publication Date 2020-11 Place of Publication New York Publisher Institute of Electrical and Electronics Engineers (IEEE) Pages 1612-1615 Title of Event 2020 IEEE Region 10 Symposium (TENSYMP 2020) Date of Event 2020/06/05-07 Place of Event Dhaka Language eng Abstract Analyzing the state and growth of various socioeconomic indicators is essential for effective developmental planning at a sub-national level. However, in many cases, data regarding such indicators are not publicly available and/or hard to collect. In many other cases, the available data may not be recent enough. In contrast, satellite data is both readily available and up-to-date. In recent times, various studies have been conducted to use different types of satellite data as a proxy to determine the condition of socio-economic indicators in different places around the world. In this paper, we study the efficacy of one such data source, nighttime lights (NTL), for monitoring factors related to sustainable development in the context of Bangladesh. UNBIS Thesaurus BANGLADESH Keyword socio-economic monitoring
night light data
national statistics
economic proxy
research line governance
research line technologyCopyright Holder Institute of Electrical and Electronics Engineers (IEEE) Copyright Year 2020 Copyright type All rights reserved ISBN 9781728173665 DOI 10.1109/TENSYMP50017.2020.9230806 -
Citation counts 
Search Google Scholar
Access Statistics: 284 Abstract Views - Detailed Statistics Created: Fri, 12 Feb 2021, 01:30:46 JST by Mario Peixoto on behalf of UNU EGOV