Displaying 1 - 7 of 7
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
Ostrom, Chris L.; Smith, Andrew N. 2019. Effect of latitude bias in entry angle on ground casualty risk from naturally decaying space objects. [10th International Association for the Advancement of Space Safety (IAASS) Conference] pp: 5
Related URL(s): https://ntrs.nasa.gov/search.jsp
SEDAC Data Collection(s):
gpw-v4
(Conference Paper)
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
LP DAAC,. 2018. Using Population and Remote Sensing Data to Study Reforestation. 2018(2018/05/31)
Related URL(s): https://lpdaac.usgs.gov/user_resources/data_in_action/using_population_and_remot…
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Web Page)
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
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
Ostrom, Chris L. 2017. Improving estimation of ground casualty risk from reentering space objects. [Ninth International Association for the Advancement of Space Safety (IAASS) Conference] pp: 6pp
Related URL(s): https://ntrs.nasa.gov/search.jsp
SEDAC Data Collection(s):
gpw-v4
(Conference Paper)
export
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