TH1.P1.1
Hazard Tree Instance Detection via Deep Neural Network Models
Pranav Prakash, Ankur Saxena, AiDash, India
Session:
TH1.P1: Applications of Forest Remote Sensing II Oral
Track:
Land Applications
Location:
Room P1
Presentation Time:
Thursday, 7 August, 08:00 - 08:15
Presentation
Discussion
Resources
No resources available.
Session TH1.P1
TH1.P1.1: Hazard Tree Instance Detection via Deep Neural Network Models
Pranav Prakash, Ankur Saxena, AiDash, India
TH1.P1.2: Integrating Himawari Satellite observations and Advanced Machine Learning Techniques for Flash Drought Identification in Australia’s Diverse Ecosystems
Mohammad Mahdi Taghadosi, Alfredo Huete, Biswajeet Pradhan, University of Technology Sydney, Australia
TH1.P1.3: The Role of Vegetation Clumping in Regulating Global Heat Fluxes: Based on Land-Atmosphere Coupled Model Runs
Zhicheng Huang, Peirong Lin, Zimin Yuan, Naijie Peng, Dechao Zhai, Qunchao He, Wenjie Fan, Institute of Remote Sensing and Geographical Information System, School of Earth and Space Sciences, Peking University, China
TH1.P1.5: Advances in Spaceborne LiDAR and Stereo Photogrammetry Modeling for Improved Digital Surface Model Generation
Ameni Mkaouar, University of Maryland, Baltiomore county, United States; Shashank Bhushan, University of Maryland, United States; Weiwei Tan, The Hong Kong Polytechnic University, China; Christopher S.R. Neigh, NASA Goddard Flight Space Center, United States; David Shean, University of Washington, United States; Paul M. Montesano, NASA Goddard Flight Space Center, United States; Tiangang Yin, The Hong Kong Polytechnic University, China; Rodrigo Vieira Leite, William Wagner, NASA Goddard Flight Space Center, United States; Jean-Philippe Gastellu-Etchegorry, Centre d'Etudes Spatiales de la Biosphere, France
Resources
No resources available.