Next Article in Journal
Mapping Latent Heat Flux in the Western Forest Covered Regions of Algeria Using Remote Sensing Data and a Spatialized Model
Next Article in Special Issue
LiDAR Utility for Natural Resource Managers
Previous Article in Journal
A Novel Algorithm for Predicting Phycocyanin Concentrations in Cyanobacteria: A Proximal Hyperspectral Remote Sensing Approach
Remote Sens. 2009, 1(4), 776-794; doi:10.3390/rs1040776
Article

Discrete Return Lidar in Natural Resources: Recommendations for Project Planning, Data Processing, and Deliverables

1,* , 2
,
3
 and
4
Received: 1 September 2009 / Revised: 16 October 2009 / Accepted: 20 October 2009 / Published: 27 October 2009
(This article belongs to the Special Issue LiDAR)
Download PDF [847 KB, uploaded 19 June 2014]

Abstract

Recent years have seen the progression of light detection and ranging (lidar) from the realm of research to operational use in natural resource management. Numerous government agencies, private industries, and public/private stakeholder consortiums are planning or have recently acquired large-scale acquisitions, and a national U.S. lidar acquisition is likely before 2020. Before it is feasible for land managers to integrate lidar into decision making, resource assessment, or monitoring across the gambit of natural resource applications, consistent standards in project planning, data processing, and user-driven products are required. This paper introduces principal lidar acquisition parameters, and makes recommendations for project planning, processing, and product standards to better serve natural resource managers across multiple disciplines.
Keywords: lidar; remote sensing; standards; processing; natural resources; forestry lidar; remote sensing; standards; processing; natural resources; forestry
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote
MDPI and ACS Style

Evans, J.S.; Hudak, A.T.; Faux, R.; Smith, A.M.S. Discrete Return Lidar in Natural Resources: Recommendations for Project Planning, Data Processing, and Deliverables. Remote Sens. 2009, 1, 776-794.

View more citation formats

Related Articles

Article Metrics

For more information on the journal, click here

Comments

Cited By

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert