Displaying 1 - 5 of 5
Operations
Mao, Zhimin. 2016. Turning Policy Promises into Blue Skies: Mixed-Method Assessment of China's Past and Future Air Pollution–Reduction Efforts. [Pardee RAND Graduate School] Knopman, Debra. Ph.D.(RGSD-385): 147 DOI: https://doi.org/10.7249/RGSD385
Uses Remote Sensing: yes
SEDAC Data Collection(s):
sdei
(Thesis)
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
Musaev, Aibek. 2016. Landslide Information Service Based on Composition of Physical and Social Information Services. [School of Computer Science] Pu, Carlton. Ph.D.: 134
Related URL(s): http://www.cc.gatech.edu/grads/a/amusaev3/dissertation_latest_version.pdf
Uses Remote Sensing: yes
SEDAC Data Collection(s):
ndh
(Thesis)
export
Shepherd, J. Marshall; Burian, Steve; Liu, Chuntao; Bernardes, Sergio. 2016. Satellite precipitation metrics to study the energy-water-food nexus within the backdrop of an urbanized globe. [IEEE Earthzine] 2016(2016/05/31)
Related URL(s): http://earthzine.org/2016/05/31/satellite-precipitation-metrics-to-study-the-ene…
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
(Blog)
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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