Space-Based Mapping of Pre- and Post-Hurricane Mangrove Canopy Heights Using Machine Learning with Multi-Sensor Observations Article

Zhang, Boya, Gann, Daniel, Wdowinski, Shimon et al. (2024). Space-Based Mapping of Pre- and Post-Hurricane Mangrove Canopy Heights Using Machine Learning with Multi-Sensor Observations . 16(21), 10.3390/rs16213992

Open Access Industry Collaboration

cited authors

  • Zhang, Boya; Gann, Daniel; Wdowinski, Shimon; Lin, Chaohao; Hestir, Erin; Lamb-Wotton, Lukas; Ishtiaq, Khandker S; Smith, Kaleb; Li, Yuepeng

sustainable development goals

publication date

  • November 1, 2024

keywords

  • BIOMASS
  • EVERGLADES
  • Environmental Sciences
  • Environmental Sciences & Ecology
  • FOREST STRUCTURE
  • Geology
  • Geosciences, Multidisciplinary
  • INDEX
  • Imaging Science & Photographic Technology
  • LIDAR
  • Life Sciences & Biomedicine
  • MODELS
  • Physical Sciences
  • RADAR
  • Remote Sensing
  • Science & Technology
  • Technology
  • canopy height
  • data fusion
  • hurricane
  • machine learning
  • mangrove
  • natural disturbance
  • transfer learning

Digital Object Identifier (DOI)

publisher

  • MDPI

volume

  • 16

issue

  • 21