Home Page
   
bullet
Remote Sensing Home
  bullet Remote Sensing Intelligence Master's Degree
  bullet Curriculum
  bullet Course Descriptions
  bullet FAQs
bullet Partners
bullet Projects
  bullet LIDAR
  bullet Spectral
  bullet Publications
  bullet Thesis Research
bullet Conferences
  bullet Thermal Imaging Workshop
  bullet SPECTRAL Imaging Applications Workshop
  bullet RADAR Littoral Studies Workshop
  bullet
bullet Capabilities
bullet Intelligence
bullet Post-Doc Opportunities
bullet Members
NPS Students
NPS Student
Home >> Academics >> Centers >> Remote Sensing >>LiDAR
LiDAR (Light Detection and Ranging)

     

    LiDAR technology is rapidly advancing and has proven to be valuable in the fields of terrain mapping, bathymetry, and more.

 
Simulated LiDAR waveforms for understanding factors affecting waveform shape

Simulated LiDAR waveforms for understanding factors affecting waveform shape

(Poster presented at SPIE 2011, authors: Angela M. Kim and Richard C. Olsen)

LiDAR (Light Detection and Ranging) works as an optical analog to RADAR with advantages related to the smaller wavelengths of the laser pulse.

lidar imageElkhorn Slough

LiDAR ranges in wavelength from ultra-violet (0.3-0.45 um) to visible (0.45-0.70 um) to the infrared (1-15 um), which is at least 1000 times smaller than RADAR. The RADARSAT satellite, for example, has a wavelength of 5.6 cm.

Data

The raw form of data is a set of x, y, z coordinate points. With recent advances, these points can be seen as distinguishable returns. An instrument that would once give only a bare earth model can now differentiate between the ground and bottoms and tops of tree canopies.

The raw data can be processed to remove unwanted areas or features. Outputs such as topographic maps with contour lines can also be derived from LiDAR.

Manipulation

Programs to manipulate LiDAR data include ENVI, ERDAS Imagine, ArcInfo, and ESRI ArcView (with 3D analyst ext.).

Applications

One useful derivation of LiDAR data is the DEM (digital elevation model).

DEMS are displayed in a raster format with a matrix. The DEM has a specified cell size that corresponds to the earth’s surfaces. The cell contains the average elevation of the points within it.

LiDAR can detect much smaller particles than RADAR in the atmosphere (which cannot detect things smaller than cloud particles) and thus can be used for aerosol detection.

Projects

The RSC is planning research projects undertaking the modeling and testing of analytical processing and using more fieldwork to obtain ground-truth measurements
Projects have been completed and are currently underway in terrain classification including Elkhorn Slough and hidden trail  identification.

Other future projects include a collaboration with the MOVES institute on LiDAR standards for data structure and visualization tools and modeling new LiDAR analysis tools.

Related Thesis

Identifying Roads And Trails Hidden Under Canopy Using Lidar
Fermin Espinoza-Lieutenant Commander, United States Navy
Robb E. Owens-Major, United States Air Force
September 2007
Advisor: Richard Christopher Olsen
Second Reader: Mark C. Abrams