Displaying 1 - 8 of 8
Operations
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
Tuna, Caglayan; Merciol, François; Lefèvre, Sébastien. 2019. Monitoring urban growth with spatial filtering of satellite image time series. [JURSE (Joint Urban Remote Sensing Event)]
Related URL(s): https://hal.archives-ouvertes.fr/hal-02118714
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Conference Paper)
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
Nizar, Sinan; Dodamani, B. M. 2018. Spatio-temporal distribution of rainfall and aerosols over urban areas of Karnataka. [SPIE Remote Sensing] 10786: 11 DOI: https://doi.org/10.1117/12.2325639
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Conference Paper)
export
Cervellati, Matteo; Esposito, Elena; Sunde, Uwe; Valmori, Simona. 2017. Long-term exposure to malaria and violence in Africa. [66th Economic Policy Panel] Issue: Economics and Peace: 65pp
Related URL(s): http://www.economic-policy.org/wp-content/uploads/2017/10/994_Long-term-Exposure…
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
(Conference Paper)
export
Doupe, Patrick; Bruzelius, Emilie; Faghmous, James; Ruchman, Samuel G. 2016. Equitable development through deep learning: The case of sub-national population density estimation. [Proceedings of the 7th Annual Symposium on Computing for Development] pp: 1-10 DOI: https://doi.org/10.1145/3001913.3001921
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
grump-v1
(Conference Paper)
export
Pinkovskiy, Maxim; Sala-i-Martin, Xavier. 2016. Lights, Camera,....Income! Estimating Poverty using National Accounts, Survey Means and Lights. [Allied Social Science Associations ] pp: 46
Related URL(s): https://www.aeaweb.org/conference/2016/preliminary.php
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
(Conference Paper)
export
Klotz, Martin; Kemper, Thomas; Esch, Thomas; Pesaresi, Martino; Pittore, Massimiliano; Weiland, Marc; Geiss, Christian; Taubenböck, Hannes. 2014. Mapping global exposure from space: A review of existing products and comparison of two new layers of global urban extent. [Second European Conference on Earthquake Engineering and Seismology] pp: 13
Related URL(s): http://elib.dlr.de/91514/1/2ECEES2014_Klotz_et_al.pdf
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Conference Paper)
export
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