Tree crown segmentation in three dimensions using density models derived from airborne laser scanning-Reference-Cited by-同舟云学术

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Tree crown segmentation in three dimensions using density models derived from airborne laser scanning

Published:2022-01-02 Issue:1 Volume:43 Page:299-329
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Holmgren Johan¹^ORCID,Lindberg Eva¹^ORCID,Olofsson Kenneth¹^ORCID,Persson Henrik J.¹^ORCID

Affiliation:

1. Department Forest Resource Management, Swedish University of Agricultural Sciences, Umeå, Sweden

Funder

Bo Rydins Stiftelse för Vetenskaplig Forskning

Brattåsstiftelsen för Skogsvetenskaplig Forskning

Carl Tryggers Stiftelse för Vetenskaplig Forskning

Kungl. Skogs- och Lantbruksakademien

Hildur och Sven Wingquists Stiftelse för Skogsvetenskaplig forskning

Skogssällskapet

Swedish Research Council

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2021.2018149

Reference34 articles.

1. Processing of laser scanner data—algorithms and applications

2. Airborne laser scanning: basic relations and formulas

3. Breast Height Diameter Estimation From High-Density Airborne LiDAR Data

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1. Mobile laser scanning as reference for estimation of stem attributes from airborne laser scanning;Remote Sensing of Environment;2024-12

2. Weighted Differential Gradient Method for Filling Pits in Light Detection and Ranging (LiDAR) Canopy Height Model;Remote Sensing;2024-04-08

3. Comparison of Single Tree Species Classification Using Very Dense ALS Data or Dual-Wave ALS Data;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16

4. The use of dual-wavelength airborne laser scanning for estimating tree species composition and species-specific stem volumes in a boreal forest;International Journal of Applied Earth Observation and Geoinformation;2023-04

5. LiDAR applications in precision agriculture for cultivating crops: A review of recent advances;Computers and Electronics in Agriculture;2023-04

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