Monitoring economic development from space : using nighttime light and land cover data to measure economic growth

By S. Keola, Magnus Andersson, Ola Hall. 2015

328 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Transportation

View Paper: https://www.semanticscholar.org/paper/2e4ebba4bef263cfa71ce29120a924f89a509167

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

1. Xi Li
2. Geua Boe-Gibson
3. John Gibson
4. Chunyang He
5. Christopher D. Elvidge
6. S. Olivia

In Transportation

1. Geua Boe-Gibson
2. John Gibson
3. Xi Li
4. S. Olivia

Citations in the corpus

• Towards economically dynamic Special Economic Zones in emerging countries (2018, unknown): “As indicated by Keola, Andersson, and Hall (2015), studies resorting to nightlights data to calculate economic activity have a tendency “to underestimate economic activities that emit less or no additional night-time light as they grow”.”
• NIGHT LIGHTS IN ECONOMICS: SOURCES AND USES1 (2020, background): “The first is of relationships between night light (annual averages of DMSP stable lights) and national GDP, for about 150 countries over 18 years (Keola et al, 2015).”
• Applications of Satellite Remote Sensing of Nighttime Light Observations: Advances, Challenges, and Perspectives (2019, background): “In addition to widely used official statistics [44,94] and remotely-sensed thematic products such as land cover data and population map [103,112,114], the increasingly popular geo-located big data, closely related to population dynamics, has started being used to explore the association between NTL ”