School of GeoSciences

Urban Tree Species Mapping Using Remote Sensing

Urban Tree Species Mapping Using Remote Sensing

Location: 

302 Crew Building

Date: 

Wednesday, October 9, 2019 - 13:00 to 14:00

Speaker: 

Caio Hamamura

Mapping urban tree species can provide an important resource for urban forest management. Remote sensing can acquire spectral and structural data from trees which can be meaningful for classifying different species. Using modern sensors and methodologies for segmentation and pattern recognition, we can derive such tree species maps. This seminar will be divided into parts representing the chapters achieved/planned so far: 1. A brief systematic review; 2. Radar-boxplot: a novel chart for understanding multivariate data; 3. Mapping urban tree species using RGB imagery; 4. Single source multispectral LiDAR sensor for classifying urban tree species.

Organised by : 

Steven Hancock