Displaying 1 - 10 of 12
Operations
Chen, Aifang. 2020. Tropical Cyclone Induced Extreme Wind, Rainfall, and Floods in the Mekong River Basin. [Department of Earth Sciences] Chen, Deliang. Ph.D.: 50
Related URL(s): http://hdl.handle.net/2077/64068
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Thesis)
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
Macdonald, Bobbie Neil James. 2020. Room to Move: Political Accountability of “Lawmakers” in the Kenya National Assembly, 1998-2019. [Political Science] Weinstein, Jeremy M. pp: 151
Related URL(s): https://searchworks.stanford.edu/view/13680879
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
gpw-v4
(Thesis)
export
Shankar Acharya, Kamarajugedda. 2020. Modelling and Assessing Linkages Between Urban Growth and Road Network for Southeast Asian Cities. [Instituted of Catastrophe Risk Management] Lo Yat-Man, Edmond. Ph.D.: 138
Related URL(s): https://hdl.handle.net/10356/140554
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Thesis)
export
Bajaj, Shaurya; Geraldine Bessie Amali, D. 2019. Species environmental niche distribution modeling for Panthera Tigris Tigris ‘Royal Bengal Tiger’ using machine learning. [Emerging Research in Computing, Information, Communication and Applications] Ed(s): Shetty, N. R.; Patnaik, L. M.; Nagaraj, H. C.; Hamsavath, Prasad Naik; Nalini, N. pp: 251-263 DOI: https://doi.org/10.1007/978-981-13-5953-8_22
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Conference Proceedings)
export
Breckner, Miriam. 2019. Climatic and Geographic Determinants of Economic Development. [Economics] Sunde, Uwe. Ph.D.(ediss:23734): 155
Related URL(s): https://edoc.ub.uni-muenchen.de/23734/
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
gpw-v4
(Thesis)
export
Williams, Rob. 2019. The Geography of Secession. [Political Science] Crecenzi, Mark J. C. Ph.D.: 162 DOI: https://doi.org/10.17615/1ysh-sk68
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
gpw-v4
(Thesis)
export
Yoza-Mitsuishi, Nadia; Sun, Ruoyu; Mathys, Peter. 2019. Spectrum sharing between WLANs and fixed microwave links in 6 and 13 GHz bands: a case study. [2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)] pp: 1-7 DOI: https://doi.org/10.1109/DySPAN.2019.8935662
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Conference Proceedings)
export
Gebremichael, Esayas. 2018. Assessing Land Deformation and Sea Encroachment in the Nile Delta: A Radar Interferometric and Modeling Approach. [Geosciences] Sultan, Mohamed. Ph.D.(3371): 108
Related URL(s): https://scholarworks.wmich.edu/dissertations/3371
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Thesis)
export
Jackson, Benjamin. 2018. The GREAT-ER Model as a Tool for Chemical Risk Assessment and Management for Chinese River Catchments. [Faculty of Science and Technology, Lancaster Environment Centre] Ph.D.(126264): 299
Related URL(s): http://eprints.lancs.ac.uk/126264/
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Thesis)
export

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