Extraction of individual trees based on Canopy Height Model to monitor the state of the forest-Reference-Cited by-同舟云学术

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Extraction of individual trees based on Canopy Height Model to monitor the state of the forest

Published:2022-06 Issue: Volume:8 Page:100257
ISSN:2666-7193
Container-title:Trees, Forests and People
language:en
Short-container-title:Trees, Forests and People

Author:

Douss Rim,Farah Imed Riadh^ORCID

Funder

Oncology Nursing Foundation

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Economics, Econometrics and Finance (miscellaneous),Forestry

Reference37 articles.

1. app, B. l., 2020. https://play.google.com/store/apps/details?id=com.samebits.beacon.locator%5C&hl=en_US.

2. The internet of things-wireless sensor networks and their application to forestry;Bayne;New Zealand Journal of Forestry,2017

3. The morphological approach to segmentation: the watershed transformation;Beucher,2018

4. 2018. google.com/beacons/eddystone. Consult le 20/10/.

5. Comparison of fixed-size and variable-sized windows for the estimation of tree crown position;Daley,1998

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1. Forage Height and Above-Ground Biomass Estimation by Comparing UAV-Based Multispectral and RGB Imagery;Sensors;2024-09-06

2. Forest Canopy Height Retrieval Model Based on a Dual Attention Mechanism Deep Network;Forests;2024-06-28

3. Spatial distribution of Tree-related Microhabitats in a primeval mountain forest: from natural patterns to landscape planning and forest management recommendations;2024-04-28

4. Effects of Illumination Conditions on Individual Tree Height Extraction Using UAV LiDAR: Pilot Study of a Planted Coniferous Stand;Forests;2024-04-26

5. Data-driven tree allometry of a planted forest in New Zealand, using machine learning and airborne lidar;2024 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS);2024-04-08

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