Filtering ground noise from LiDAR returns produces inferior models of forest aboveground biomass in heterogenous landscapes-Reference-Cited by-同舟云学术

Filtering ground noise from LiDAR returns produces inferior models of forest aboveground biomass in heterogenous landscapes

Published:2022-08-10 Issue:1 Volume:59 Page:1266-1280
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Mahoney Michael J¹^ORCID,Johnson Lucas K¹^ORCID,Bevilacqua Eddie²^ORCID,Beier Colin M²^ORCID

Affiliation:

1. Graduate Program in Environmental Science, State University of New York College of Environmental Science and Forestry, Syracuse, New York, USA

2. Department of Sustainable Resources Management, State University of New York Colle ge of Environmental Science and Forestry, Syracuse, New York, USA

Funder

New York State Department of Environmental Conservation

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2022.2103069

Reference54 articles.

1. Estimating Aboveground Biomass and Average Annual Wood Biomass Increment with Airborne Leaf-on and Leaf-off LiDAR in Great Lakes Forest Types

2. Lessons learned implementing an operational continuous United States national land change monitoring capability: The Land Change Monitoring, Assessment, and Projection (LCMAP) approach

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