Enhanced data and methods for improving open and free global population grids: putting ‘leaving no one behind’ into practice-Reference-Cited by-同舟云学术

Enhanced data and methods for improving open and free global population grids: putting ‘leaving no one behind’ into practice

Published:2018-12-23 Issue:1 Volume:13 Page:61-77
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Freire Sergio¹²^ORCID,Schiavina Marcello¹^ORCID,Florczyk Aneta J.¹^ORCID,MacManus Kytt³,Pesaresi Martino¹^ORCID,Corbane Christina¹^ORCID,Borkovska Olena³,Mills Jane³,Pistolesi Linda³,Squires John³,Sliuzas Richard²

Affiliation:

1. European Commission, Joint Research Centre (JRC), Ispra, Italy

2. Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, Netherlands

3. Columbia University CIESIN Geoscience, Palisades, NY, USA

Funder

DG REGIO, European Commission

NASA

Columbia University

Joint Research Centre

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Link

http://tandfonline.com/doi/pdf/10.1080/17538947.2018.1548656

Reference43 articles.

1. Anderson, J. R., E. E. Hardy, J. T. Roach, and R. E. Witmer. 1976. A Land Use and Land Cover Classification System for Use With Remote Sensing Data. US Geological Survey, Professional Paper No. 964.

2. Determining Global Population Distribution: Methods, Applications and Data

3. Missing Millions and Measuring Development Progress

4. Improving Population and Poverty Estimates with Citizen Surveys: Evidence from East Africa

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