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
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
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
therealbriel. 2016. Life on the River: Flooding Resilience in Bangladesh. [URPL 590 – Planning for Resilience to Natural Hazards – Spring 2016] 2017(2017/01/12)
Related URL(s): https://urpl590resilience.wordpress.com/2016/05/02/life-on-the-river-flooding-re…
SEDAC Data Collection(s):
lecz
(Blog)
export
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