Utilizing geospatial data for assessing energy security: Mapping small solar home systems using unmanned aerial vehicles and deep learning
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, Preprint
Ren, S; Malof, J; Fetter, TR; Beach, R; Rineer, J; Bradbury, K
January 14, 2022
Duke Scholars
Publication Date
January 14, 2022
Citation
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MLA
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Ren, S., Malof, J., Fetter, T. R., Beach, R., Rineer, J., & Bradbury, K. (2022). Utilizing geospatial data for assessing energy security: Mapping small
solar home systems using unmanned aerial vehicles and deep learning.
Ren, Simiao, Jordan Malof, T Robert Fetter, Robert Beach, Jay Rineer, and Kyle Bradbury. “Utilizing geospatial data for assessing energy security: Mapping small
solar home systems using unmanned aerial vehicles and deep learning,” January 14, 2022.
Ren S, Malof J, Fetter TR, Beach R, Rineer J, Bradbury K. Utilizing geospatial data for assessing energy security: Mapping small
solar home systems using unmanned aerial vehicles and deep learning. 2022.
Ren, Simiao, et al. Utilizing geospatial data for assessing energy security: Mapping small
solar home systems using unmanned aerial vehicles and deep learning. 14 Jan. 2022.
Ren S, Malof J, Fetter TR, Beach R, Rineer J, Bradbury K. Utilizing geospatial data for assessing energy security: Mapping small
solar home systems using unmanned aerial vehicles and deep learning. 2022.
Publication Date
January 14, 2022