TU3.M1.4
Effect Of Spatial Resolution on the remote detection of Siam Weed
Deepak Gautam, Panagiota Arvanitis, RMIT University, Australia
Session:
TU3.M1: Remote Detection of Invasive Weed Species Oral
Track:
Community-Contributed Sessions
Location:
Mezzanine: Room M1
Presentation Time:
Tuesday, 5 August, 14:00 - 14:15
Session Co-Chairs:
Kathryn Sheffield, Department of Energy, Environment and Climate Action and Deepak Gautam, RMIT University
Session TU3.M1
TU3.M1.1: Integrating Artificial Intelligence and UAV-Acquired Multispectral Imagery for the Mapping of Invasive Plant Species in Complex Natural Environments
Narmilan Amarasingam, Fernando Vanegas, Queensland University of Technology, Australia; Melissa Hele, Angus Warfield, Felipe Gonzalez, Sunshine Coast Regional Council, Australia
TU3.M1.2: DETECTION OF GIANT RAT TAIL GRASS INVASION USING UAV IMAGING AND MACHINE LEARNING
Debanjan Chowdhury, Amity University Haryana, India; Dipankar Mandal, Indian Institute of Technology Guwahati, India; Kevin McDougall, Bikram Banerjee, University of Southern Queensland, Australia
TU3.M1.3: Mapping Kochia Patches using Machine Learning and High-Resolution Satellite Imagery
Thuan Ha, Japjyot Singh, Kwabena Nketia, Sarah van Steenbergen, Hansanee Fernando, Brianna Zoerb, Steve Shirtliffe, University of Saskatchewan, Canada
TU3.M1.4: Effect Of Spatial Resolution on the remote detection of Siam Weed
Deepak Gautam, Panagiota Arvanitis, RMIT University, Australia
TU3.M1.5: SORTING THE WEEDS FROM THE GRASS: USING PLANT PHENOLOGY TO IMPROVE DISCRIMINATION OF SERRATED TUSSOCK COVER FROM SATELLITE IMAGERY
Kathryn Sheffield, Mohammad Abuzar, Tony Dugdale, Steve Sinclair, Department of Energy, Environment and Climate Action, Australia; Vanessa Hutchins, Wyndham City Council, Australia; James Neil, Parks Victoria, Australia; Jonathan Wilson, Department of Energy, Environment and Climate Action, Australia
Resources