Lidar remote sensing of micro-Doppler signals is important for many military applications including characterization and identification of ground and airborne targets (NCTID) and battle damage assessment. The single most important performance metric of these sensors is their velocity measurement precision. The velocity precision of a micro-Doppler lidar is limited by any one of various noise so...

A detailed understanding of the spatial distribution of forest understory is important but difficult. LiDAR remote sensing has been developing as a promising additional instrument to the conventional field work towards automated forest inventory. Unfortunately, understory (up to 50% of the top-tree height) in mixed and multilayered forests is often ignored due to a difficult observation scenari...

The extraction of land cover information from remote sensing data is a complex process. Spectral information has been widely utilized in classifying remote sensing images. However, shadows limit the use of multispectral images because they result in loss of spectral radiometric information. In addition, true reflectance may be underestimated in shaded areas. In land cover classification, shaded...

Airborne small-footprint full-waveform LiDAR data have a unique ability to characterize the landscape because it contains rich horizontal and vertical information. However, few studies fully explored its role in distinguishing different objects urban area. In this study, we examined efficacy of on land cover classification. The study area is located suburban Beijing, China. Eight classes were i...

Laser altimetry (LIDAR) data must be processed to generate a digital elevation model (DEM), a digital map of the terrain surface. The raw LIDAR points can be processed and then gridded to form a map of the ground surface. For example, a waveform generated by binning a set of points over a limited region can be decomposed into a set of Gaussian components. The component with the lowest mean repr...

Current space-based lidar systems for Earth remote sensing have a number of inherent limitations that impact their use for broader science applications. These include no cross-track coverage, fixed spatial sampling that forces pointing control to be performed by the spacecraft, cloud loss over many types of scenes, and, in general, lifetimes set in part by the number of laser shots fired. The E...

From an unprecedented experiment using airborne measurements performed over the rich forests of Réunion Island, this paper aims to present a methodology for the classification of diverse tropical forest biomes as retrieved from vertical profiles measured using a full-waveform LiDAR. This objective is met through the retrieval of both the canopy height and the Leaf Area Index (LAI), obtained as ...