Displaying 1 - 4 of 4
Operations
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
De Lotto, Roberto; Pietra, Caterina; Venco, Elisabetta M. 2019. Risk analysis: A focus on urban exposure estimation. [Computational Science and Its Applications – ICCSA 2019] Ed(s): Misra, Sanjay; Gervasi, Osvaldo; Murgante, Beniamino; Stankova, Elena; Korkhov, Vladimir; Torre, Carmelo; Rocha, Ana Maria A. C.; Taniar, David; Apduhan, Bernady O.; Tarantino, Eufemia. pp: 407-423 DOI: https://doi.org/10.1007/978-3-030-24296-1_33
SEDAC Data Collection(s):
gpw-v4
grump-v1
(Conference Proceedings)
export
Lazer, Leah. 2019. Rising seas threaten low-lying coastal cities, 10% of world population. [State of the Planet] 2019(20191025)
Related URL(s): https://blogs.ei.columbia.edu/2019/10/25/rising-seas-low-lying-coastal-cities/
SEDAC Data Collection(s):
grump-v1
lecz
(Blog)
export
Sydor, Elisabeth. 2019. High-Resolution Data Products Help Illuminate Urbanization's Reach. [State of the Planet] 2019(2/26/2019)
Related URL(s): https://blogs.ei.columbia.edu/2019/02/26/data-impervious-surfaces-urban-extents/
SEDAC Data Collection(s):
ulandsat
(Blog)
export
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