Claire G. Griffin

Understanding the synergies of deep learning and data fusion of multispectral and panchromatic high resolution commercial satellite imagery for automated ice-wedge polygon detection

Anna Liljedahl, Benjamin M. Jones, Chandi Witharana, 2020 .

Understanding the Effects of Optimal Combination of Spectral Bands on Deep Learning Model Predictions: A Case Study Based on Permafrost Tundra Landform Mapping Using High Resolution Multispectral Satellite Imagery

Benjamin M. Jones, Howard E. Epstein, Kelcy Kent, 2020, J. Imaging.

An Object-Based Approach for Mapping Tundra Ice-Wedge Polygon Troughs from Very High Spatial Resolution Optical Satellite Imagery

Benjamin M. Jones, M. Torre Jorgenson, Howard E. Epstein, 2021, Remote. Sens..

Limitations on using CDOM as a proxy for DOC in temperate lakes.

Raymond M. Hozalski, Patrick L. Brezonik, Claire G. Griffin, 2018, Water research.

Spatial and interannual variability of dissolved organic matter in the Kolyma River, East Siberia, observed using satellite imagery

John Rogan, Claire G. Griffin, Karen E. Frey, 2011 .