Karen Moe

According to our database, Karen Moe authored at least 10 papers between 2004 and 2014.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2014

Improving information standards and remote sensing support for disaster management.

John D. Evans, Patrice Cappelaere, Karen Moe, Stuart Frye, Daniel J. Mandl

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013

Improving Disaster Management Using Earth Observations - GEOSS and CEOS Activities.

George Percivall, Nadine Alameh, Hervé Caumont, Karen L. Moe, John D. Evans

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013

Towards a sensor web architecture for Disaster management: Insights from the Namibia flood pilot.

Stuart Frye, George Percivall, Karen Moe, Dan Mandl, Matthew Handy, John D. Evans

Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2012

Interoperable Infrastructure for Flood Monitoring: SensorWeb, Grid and Cloud.

Nataliia Kussul, Dan Mandl, Karen Moe, Jan-Peter Mund, Joachim Post, Andrii Shelestov, Sergii Skakun, Jörg Szarzynski, Guido Van Langenhove, Matthew Handy

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012

Strengthening disaster management using Earth Observations - GEOSS and CEOS activities.

George Percivall, Nadine Alameh, Karen Moe, John D. Evans

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011

Sensor web technology challenges and advancements for the earth science decadal survey era.

Charles D. Norton, Karen Moe

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

2010

Earth Observation Sensor Web: An Overview.

Liping Di, Karen Moe, Terence L. van Zyl

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2010

2009

Metadata requirements analysis for the emerging Sensor Web.

Liping Di, Karen L. Moe, Genong Yu

Int. J. Digit. Earth, 2009

2008

NASA Technology for the Earth Observation Sensor Web.

Karen Moe

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

2004

Earth Science Markup Language (ESML): : a solution for scientific data-application interoperability problem.

Rahul Ramachandran, Sara J. Graves, Helen Conover, Karen Moe

Comput. Geosci., 2004