Connecting the dots between laser waveforms and herbaceous biomass for assessment of land degradation using small-footprint waveform LiDAR data

摘要: Measurement and management of vegetation biomass accumulation in ecosystems typically involves extensive field data collection, which can be expensive time consuming, while leaving the user with relatively crude inputs to intricate models. Light detection ranging (LiDAR) remote sensing, provides height measurements terrain vegetation, has become an effective alternative characterize structure. In this paper, we report on ongoing efforts at developing signal processing approaches model herbaceous using a new generation airborne laser scanners, namely full-waveform LiDAR systems. Structural statistic-based feature metrics are directly derived from waveforms pixel level related plot-level data. Initial results reveal definite correlation between waveform biomass. Ongoing research focuses links fractional cover estimated imaging spectroscopy woody