Article Versions Notes

Herzfeld UC, Hessburg LJ, Trantow TM, Hayes AN. Combining “Deep Learning” and Physically Constrained Neural Networks to Derive Complex Glaciological Change Processes from Modern High-Resolution Satellite Imagery: Application of the GEOCLASS-Image System to Create VarioCNN for Glacier Surges. Remote Sensing. 2024; 16(11):1854. https://doi.org/10.3390/rs16111854

Herzfeld, Ute C., Lawrence J. Hessburg, Thomas M. Trantow, and Adam N. Hayes. 2024. "Combining “Deep Learning” and Physically Constrained Neural Networks to Derive Complex Glaciological Change Processes from Modern High-Resolution Satellite Imagery: Application of the GEOCLASS-Image System to Create VarioCNN for Glacier Surges" Remote Sensing 16, no. 11: 1854. https://doi.org/10.3390/rs16111854

Herzfeld, U. C., Hessburg, L. J., Trantow, T. M., & Hayes, A. N. (2024). Combining “Deep Learning” and Physically Constrained Neural Networks to Derive Complex Glaciological Change Processes from Modern High-Resolution Satellite Imagery: Application of the GEOCLASS-Image System to Create VarioCNN for Glacier Surges. Remote Sensing, 16(11), 1854. https://doi.org/10.3390/rs16111854