Characterising Reedbed habitat quality using Leaf-off LiDAR Data
- Resource Type
- Conference
- Authors
- Onojeghuo, Alex O.; Blackburn, George A.; Latif, Zulkiflee Abd
- Source
- 2010 6th International Colloquium on Signal Processing & its Applications Signal Processing and Its Applications (CSPA), 2010 6th International Colloquium on. :1-5 May, 2010
- Subject
- Signal Processing and Analysis
Robotics and Control Systems
Laser radar
Birds
Wildlife
Insects
Wastewater treatment
Biomedical signal processing
Process planning
Technology planning
Data mining
Rivers
Reedbeds
LiDAR
DTM
DSM
CHM
- Language
The aim of this paper was to investigate the potential of using leaf-off LiDAR data to characterise the quality of reedbed habitats in Leighton moss, North west UK. The correlation between LiDAR derived and ground-measured heights were determined using six selected spatial buffers and the most significant selected. The results indicated that accurate estimates of canopy height were derivable from the first return data, a valuable indicator of reedbed habitat quality. However, the lack of any subsequent returns from reedbeds prevented the extraction of any further biophysical variables. This paper outlines the methodology of deriving suitable height estimates of reeds and the limitations of using leaf-off LiDAR data.