Essentials of LIDAR multiangle data processing methodology for smoke polluted atmospheres

Vladimir Kovalev; Alex Petkov; Cyle E. Wold; Shawn P. Urbanski; WeiMin M. Hao

Treesearch

Essentials of LIDAR multiangle data processing methodology for smoke polluted atmospheres

Informally Refereed

Authors:

Vladimir Kovalev, Alex Petkov, Cyle E. Wold, Shawn P. Urbanski, WeiMin M. Hao

Year:

2009

Type:

Paper

Station:

Rocky Mountain Research Station

Source:

In: 3rd Workshop on Optoelectronic Techniques for Environmental Monitoring; September 30-Oct. 2, 2009; Bucharest, Romania. National Institute of Research and Development for Optoelectronics: 7-9.

Download (PDF 549 KB)

Download (PDF 549 KB): https://research.fs.usda.gov/download/treesearch/34680.pdf

Abstract

Mobile scanning lidar is the most appropriate tool for monitoring wildfire smoke-plume dynamics and optical properties. Lidar is the only remote sensing instrument capable of obtaining detailed three-dimensional range-resolved information for smoke distributions and optical properties over ranges of 10+ km at different wavelengths simultaneously.

Keywords

lidar, wildfire, smoke-plume

Citation

Kovalev, V. A.; Petkov, A.; Wold, C.; Urbanski, S.; Hao, W. M. 2009. Essentials of LIDAR multiangle data processing methodology for smoke polluted atmospheres. In: 3rd Workshop on Optoelectronic Techniques for Environmental Monitoring; September 30-Oct. 2, 2009; Bucharest, Romania. National Institute of Research and Development for Optoelectronics: 7-9.