Displaying 1 - 5 of 5
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
Sung, Keen Yuun. 2020. The Limits of Location Privacy in Mobile Devices. [Computer Science] Levine, Brian Neil. Ph.D.: 111
Related URL(s): https://scholarworks.umass.edu/dissertations_2/1957
SEDAC Data Collection(s):
gpw-v4
(Thesis)
export
Sung, Keen Yuun; Huang, JianYi; Corner, Mark D.; Levine, Brian N. 2020. Re-identification of mobile devices using real-time bidding advertising networks. [Proceedings of the 26th Annual International Conference on Mobile Computing and Networking] Article 48: 637-649 DOI: https://doi.org/10.1145/3372224.3419205
SEDAC Data Collection(s):
gpw-v4
(Conference Paper)
export
Suwal, Madan Krishna; Huettmann, Falk. 2020. A rather short story of shared GIS data layers in the Hindu Kush-Himalayas: State of the art, justifications and urgent suggestions for a sustainable global data governance with open access and open source coming to the rescue. [Hindu Kush-Himalaya Watersheds Downhill: Landscape Ecology and Conservation Perspectives] Ed(s): Regmi, Ganga Ram; Huettmann, Falk. pp: 521-563 DOI: https://doi.org/10.1007/978-3-030-36275-1_26
SEDAC Data Collection(s):
gpw-v4
groads
ndh
(Book Section)
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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