Displaying 1 - 10 of 11
Operations
Mooney, Andrew. 2021. The Value of ex situ Collections for Global Biodiversity Conservation in the Wild. [School of Natural Sciences (Zoology)] Buckley, Yvonne. Ph.D.: 274
Related URL(s): https://hdl.handle.net/2262/95533
SEDAC Data Collection(s):
gpw-v4
(Thesis)
export
Bhattacharjee, Sagnik; Tencar, Jiri; Danilchyk, Tatsiana; Svitek, Miroslav; Horak, Tomas; Naghdi, Yashar. 2020. Urban Heat Vulnerability Assessment of Smart Border. [2020 Smart City Symposium Prague (SCSP)] pp: 1-6 DOI: https://doi.org/10.1109/SCSP49987.2020.9133977
SEDAC Data Collection(s):
gpw-v4
(Conference Proceedings)
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
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
Abbar, Sofiane; Zanouda, Tahar; Al-Emadi, Noora; Zegour, Rachida. 2018. City of the people, for the people: Sensing urban dynamics via social media interactions. [Social Informatics, 10th International Conference] Staab, Steffen; Koltsova, Olessia; Ignatov, Dmitry I. pp: 3-14 DOI: https://doi.org/10.1007/978-3-030-01159-8_1
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
Melchiorri, Michele; Siragusa, Alice. 2018. Analyzing Cities with the Global Human Settlement Layer: A Methodology to Compare Urban Growth Using Remote Sensing Data. [Smart and Sustainable Planning for Cities and Regions] Ed(s): Bisello, Adriano; Vettorato, Daniele; Laconte, Pierre; Costa, Simona. pp: 151-165 DOI: https://doi.org/10.1007/978-3-319-75774-2_11
SEDAC Data Collection(s):
gpw-v4
(Conference Proceedings)
export

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