Development of a robust canopy height model derived from ALS point clouds for predicting individual crown attributes at the species level-Reference-Cited by-同舟云学术

Development of a robust canopy height model derived from ALS point clouds for predicting individual crown attributes at the species level

Published:2018-09-12 Issue:23 Volume:39 Page:9206-9227
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Erfanifard Yousef¹²^ORCID,Stereńczak Krzysztof²,Kraszewski Bartłomiej²,Kamińska Agnieszka²

Affiliation:

1. Department of Natural Resources and Environment, College of Agriculture, Shiraz University, Shiraz, Iran

2. Laboratory of Geomatics, Forest Research Institute, Raszyn, Poland

Funder

Instytut Badawczy Leśnictwa

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2018.1508916

Reference55 articles.

1. Structural attributes of individual trees for identifying homogeneous patches in a tropical rainforest

2. ASPRS. 2008. “LAS File Format Specifications.” American Society for Photogrammetry and Remote Sensing (ASPRS), Bethesda, Maryland. Accessed 19 September 2017. http://www.asprs.org/a/society/committees/standards/asprs_las_format_v12.pdf

3. Processing of laser scanner data—algorithms and applications

4. A Comparison of Stand-Level Volume Estimates from Image-Based Canopy Height Models of Different Spatial Resolutions

5. Individual Tree Crown Delineation from Airborne Laser Scanning for Diseased Larch Forest Stands

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