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
Khandelwal, Ankush; Ghosh, Rahul; Wei, Zhihao; Kuang, Huangying; Kumar, Vipin; Dugan, Hilary; Hanson, Paul; Karpatne, Anuj. 2019. GLADD-R: A new Global Lake Dynamics Database for Reservoirs. University of Minnesota. TR 19-004: 7
Related URL(s): https://www.cs.umn.edu/research/technical_reports/view/19-004
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grand-v1
(Report)
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
Mboga, N.; Persello, C.; Bergado, J. R.; Stein, A. 2017. Detection of informal settlements from VHR satellite images using convolutional neural networks. [2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)] pp: 5169-5172 DOI: https://doi.org/10.1109/IGARSS.2017.8128166
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Conference Proceedings)
export
Herold, Christian; Rudari, Roberto. 2013. Improvement of the Global Flood Model for the GAR 2013 and 2015: Background Paper prepared for the Global Assessment Report on Disaster Risk Reduction 2013. UNISDR: The United Nations Office for Disaster Risk Reduction. pp: 43
Related URL(s): http://www.preventionweb.net/english/hyogo/gar/2013/en/bgdocs/Herold%20and%20Rud…
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grand-v1
(Report)
export
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