Holcomb, Amelia

Degrees

  • PhD Computer Science, University of Cambridge.

  • M.Math Computer Science, University of Waterloo.

  • B.A. Mathematics, Yale University

Areas of Interest

  • Spaceborne LiDAR (GEDI); forest conservation; tropical forest disturbance and degradation

Research Topics

  • Carbon, Vegetation Dynamics and Landscape-Scale Processes
  • Remote Sensing
  • Holcomb, A., Burns, P., Keshav, S., Coomes, D.A., 2024. Repeat GEDI footprints measure the effects of tropical forest disturbances. Remote Sensing of Environment 308, 114174. https://doi.org/10.1016/j.rse.2024.114174Allison, H., Kapos, V., Holcomb, A., 2023. A discussion paper on forest degradation prepared for FAO. Preprint. http://dx.doi.org/10.13140/RG.2.2.21961.56169Holcomb, A., Mathis, S.V., Coomes, D.A., Keshav, S., 2023. Computational tools for assessing forest recovery with GEDI shots and forest change maps. Science of Remote Sensing 8, 100106. https://doi.org/10.1016/j.srs.2023.100106Ghasemitaheri, S., Holcomb, A., Golab, L., and Keshav, S. On the Data Quality of Remotely Sensed Forest Maps, Proc. VLDB Workshops, April 2023.Holcomb, A., Tong, L., Keshav, S., 2023. Robust Single-Image Tree Diameter Estimation with Mobile Phones. Remote Sensing 15, 772. https://doi.org/10.3390/rs15030772

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