Displaying 1 - 9 of 9
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
Tuna, Caglayan; Merciol, François; Lefèvre, Sébastien. 2019. Monitoring urban growth with spatial filtering of satellite image time series. [JURSE (Joint Urban Remote Sensing Event)]
Related URL(s): https://hal.archives-ouvertes.fr/hal-02118714
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Conference Paper)
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
Creutzig, Felix; Lohrey, Steffen; Bai, Xuemei; Dawson, Richard; Dhakal, Shobhakar; Lamb, William; McPhearson, Timon; Minx, Jan; Munoz, Esteban; Walsh, Brenna. 2018. Upscaling urban data science for global climate solutions. [CitiesIPCC Cities and Climate Change Science Conference] pp: 38pp.
Related URL(s): https://citiesipcc.org/wp-content/uploads/2018/03/Upscaling-urban-data-science-f…
Uses Remote Sensing: yes
SEDAC Data Collection(s):
groads
grump-v1
sdei
(Conference Paper)
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
Doupe, Patrick; Bruzelius, Emilie; Faghmous, James; Ruchman, Samuel G. 2016. Equitable development through deep learning: The case of sub-national population density estimation. [Proceedings of the 7th Annual Symposium on Computing for Development] pp: 1-10 DOI: https://doi.org/10.1145/3001913.3001921
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
grump-v1
(Conference Paper)
export
Miyazaki, H.; Shibasaki, R.; Nagai, M. 2016. An automated method for time-series human settlement mapping using Landsat data and existing land cover maps. [2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)] pp: 1784-1787 DOI: https://doi.org/10.1109/IGARSS.2016.7729458
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Conference Proceedings)
export
Pinkovskiy, Maxim; Sala-i-Martin, Xavier. 2016. Lights, Camera,....Income! Estimating Poverty using National Accounts, Survey Means and Lights. [Allied Social Science Associations ] pp: 46
Related URL(s): https://www.aeaweb.org/conference/2016/preliminary.php
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
(Conference Paper)
export
Xie, Jibo; Yu, Wenyang; Li, Guoqing. 2016. An inter-agency collaborative computing framework for fast flood mapping using distributed remote sensing data. [2016 Fifth International Conference on Agro-Geoinformatics (Agro-Geoinformatics)] pp: 1-5 DOI: https://doi.org/10.1109/Agro-Geoinformatics.2016.7577603
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
(Conference Proceedings)
export
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