Edward M. Armstrong

According to our database, Edward M. Armstrong authored at least 6 papers between 2016 and 2020.

Collaborative distances:

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

2020

Skin Sea-Surface Temperature from VIIRS on Suomi-NPP - NASA Continuity Retrievals.

Peter J. Minnett, Katherine Kilpatrick, Guillermo P. Podestá, Robert H. Evans, Malgorzata D. Szczodrak, Miguel Angel Izaguirre, Elizabeth J. Williams, Susan Walsh, R. Michael Reynolds, Sean W. Bailey, Edward M. Armstrong, Jorge Vazquez-Cuervo

Remote. Sens., 2020

Improving search ranking of geospatial data based on deep learning using user behavior data.

Yun Li, Yongyao Jiang, Chaowei Yang, Manzhu Yu, Lara Kamal, Edward M. Armstrong, Thomas S. Huang, David Moroni, Lewis J. McGibbney

Comput. Geosci., 2020

2018

A Smart Web-Based Geospatial Data Discovery System with Oceanographic Data as an Example.

Yongyao Jiang, Yun Li, Chaowei Yang, Fei Hu, Edward M. Armstrong, Thomas S. Huang, David Moroni, Lewis J. McGibbney, Frank R. Greguska, Christopher J. Finch

ISPRS Int. J. Geo Inf., 2018

Towards intelligent geospatial data discovery: a machine learning framework for search ranking.

Yongyao Jiang, Yun Li, Chaowei Yang, Fei Hu, Edward M. Armstrong, Thomas S. Huang, David Moroni, Lewis J. McGibbney, Christopher J. Finch

Int. J. Digit. Earth, 2018

2017

A comprehensive methodology for discovering semantic relationships among geospatial vocabularies using oceanographic data discovery as an example.

Yongyao Jiang, Yun Li, Chaowei Yang, Kai Liu, Edward M. Armstrong, Thomas S. Huang, David Moroni, Christopher J. Finch

Int. J. Geogr. Inf. Sci., 2017

2016

Reconstructing Sessions from Data Discovery and Access Logs to Build a Semantic Knowledge Base for Improving Data Discovery.

Yongyao Jiang, Yun Li, Chaowei Yang, Edward M. Armstrong, Thomas S. Huang, David Moroni

ISPRS Int. J. Geo Inf., 2016