LiDAR is increasingly being used for logging applications. This guide makes its use more understandable for the non-expert.
The document was produced by Natural Resources Canada, and is titled “A best practice guide for generating forest inventory attributes from airborne laser scanning data using an area-based approach”. It aims to give the lay-man more information regarding the state-of-the-art approaches, methods and data. It will enable the reader that is interested in airborne laser scanning (ALS, but also called Light Detection and Ranging – LiDAR) data to operationally characterise large forest areas in a cost effective manner.
The process is described to generate forest inventory attributes from ALS data from start to finish, with recommended best practices for each stage. This includes ground sampling and statistics through to spatial data processing and analysis. This information is critical to make decisions regarding whether LiDAR is a suitable data choice for a forest management area. Also, when outsourcing the LiDAR activities, or collaborating for data collection, processing, analysing and evaluating deliverables, it is important that the relevant forest manager has a certain minimum level of knowledge. The guide can be downloaded at http://cfs.nrcan.gc.ca/pubwarehouse/pdfs/34887.pdf Source: http://fpinnovations.ca
The document was produced by Natural Resources Canada, and is titled “A best practice guide for generating forest inventory attributes from airborne laser scanning data using an area-based approach”. It aims to give the lay-man more information regarding the state-of-the-art approaches, methods and data. It will enable the reader that is interested in airborne laser scanning (ALS, but also called Light Detection and Ranging – LiDAR) data to operationally characterise large forest areas in a cost effective manner.
The process is described to generate forest inventory attributes from ALS data from start to finish, with recommended best practices for each stage. This includes ground sampling and statistics through to spatial data processing and analysis. This information is critical to make decisions regarding whether LiDAR is a suitable data choice for a forest management area. Also, when outsourcing the LiDAR activities, or collaborating for data collection, processing, analysing and evaluating deliverables, it is important that the relevant forest manager has a certain minimum level of knowledge. The guide can be downloaded at http://cfs.nrcan.gc.ca/pubwarehouse/pdfs/34887.pdf Source: http://fpinnovations.ca