Displaying 1 - 4 of 4
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
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
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
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
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