Displaying 1 - 7 of 7
Operations
Amior, Michael. 2020. Immigration, Local Crowd-Out and Undercover Bias. [CEP Discussion Paper] Centre for Economic Performance, London School of Economics and Political Science. Issue: CEPDP1669: 60
Related URL(s): http://cep.lse.ac.uk/_new/publications/abstract.asp
SEDAC Data Collection(s):
acrp
(Report)
export
Khandelwal, Ankush; Karpatne, Anuj; Wei, Zhihao; Ghosh, Rahul; Kuang, Huangying; Cutler, Kelly; Dugan, Hilary; Hanson, Paul; Kumar, Vipin. 2020. ReaLSAT-R: A new Reservoir Surface Area Dynamics Database created using Machine Learning and Satellite Imagery.
Related URL(s): https://ai4earthscience.github.io/iclr-2020-workshop/papers/ai4earth28.pdf
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grand-v1
(Conference Paper)
export
Knorre, Fabian; Wagner, Martin; Grupe, Maximilian. 2020. Monitoring Cointegrating Polynomial Regressions: Theory and Application to the Environmental Kuznets Curves for Carbon and Sulfur Dioxide Emissions. [IHS Working Paper Series] 27: 53
Related URL(s): https://irihs.ihs.ac.at/id/eprint/5586
SEDAC Data Collection(s):
haso2
(Report)
export
Purnamasari, Ririn; Wirapati, Bagus Arya; Alatas, Hamidah; Nasiir, Mercoledi. 2020. Estimating Small Area Poverty and Welfare Indicators in Timor-Leste Using Satellite Imagery Data. World Bank. Issue: AUS0001842: 47 DOI: https://doi.org/10.1596/34614
Related URL(s): http://hdl.handle.net/10986/34614
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
groads
(Report)
export
Bunte, Jonas B.; Desai, Harsh; Gbala, Kanio Bai; Parks, Bradley C.; Runfola, Daniel. 2018. Natural Resource Sector FDI, Government Policy, and Economic Growth: Quasi-experimental Evidence from Liberia. International Growth Centre. Issue: S-51401-LIB-1: 97
Related URL(s): https://www.theigc.org/wp-content/uploads/2018/04/Natural-Resource-Sector-FDI-co…
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
groads
(Report)
export
Creutzig, Felix; Lohrey, Steffen; Bai, Xuemei; Dawson, Richard; Dhakal, Shobhakar; Lamb, William; McPhearson, Timon; Minx, Jan; Munoz, Esteban; Walsh, Brenna. 2018. Upscaling urban data science for global climate solutions. [CitiesIPCC Cities and Climate Change Science Conference] pp: 38pp.
Related URL(s): https://citiesipcc.org/wp-content/uploads/2018/03/Upscaling-urban-data-science-f…
Uses Remote Sensing: yes
SEDAC Data Collection(s):
groads
grump-v1
sdei
(Conference Paper)
export
Urpelainen, Johannes; Schlenker, Wolfram; Zhang, Alice Tianbo. 2018. Power of the River. Introducing the Global Dam Tracker (GDAT).
Related URL(s): https://energypolicy.columbia.edu/research/report/power-river-introducing-global…
SEDAC Data Collection(s):
grand-v1
(Report)
export
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