SPACE-BASED MAPPING OF MANGROVE CANOPY HEIGHT WITH MULTI-SENSOR OBSERVATIONS AND DEEP LEARNING TECHNIQUES Conference

Zhang, Boya, Smith, Kaleb, Wdowinski, Shimon et al. (2022). SPACE-BASED MAPPING OF MANGROVE CANOPY HEIGHT WITH MULTI-SENSOR OBSERVATIONS AND DEEP LEARNING TECHNIQUES . 2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 3389-3392. 10.1109/IGARSS46834.2022.9883700

cited authors

  • Zhang, Boya; Smith, Kaleb; Wdowinski, Shimon; Lin, Chaohao; Gann, Daniel; Chavez, Selena; Zhang, Jingchao

sustainable development goals

date/time interval

  • July 17, 2022 -

publication date

  • January 1, 2022

keywords

  • Geology
  • Geosciences, Multidisciplinary
  • Physical Sciences
  • Remote Sensing
  • SAR
  • Science & Technology
  • Technology
  • airborne LiDAR
  • deep learning
  • mangrove
  • multi-sensor
  • neural network
  • optical data

Location

  • MALAYSIA, Kuala Lumpur

Digital Object Identifier (DOI)

Conference

  • IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

publisher

  • IEEE

start page

  • 3389

end page

  • 3392