Integration of field measurements with unmanned aerial vehicle to predict forest inventory metrics at tree and stand scales in natural pure Crimean pine forests-Reference-Cited by-同舟云学术

Integration of field measurements with unmanned aerial vehicle to predict forest inventory metrics at tree and stand scales in natural pure Crimean pine forests

Published:2024-06-04 Issue:12 Volume:45 Page:3846-3870
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Bulut Sinan¹,Günlü Alkan¹,Aksoy Hasan²,Bolat Ferhat¹,Sönmez Mücahit Yılmaz³

Affiliation:

1. Faculty of Forestry, Department of Forestry Engineering, Çankırı Karatekin University, Çankırı, Türkiye

2. Vocational School of Ayancık, Department of Forestry, Program of Forestry and Forest Products, Sinop University, Sinop, Türkiye

3. General Directorate of Forestry, İzmir Regional Directorate of Forestry, Soma State Forest Enterprise, Göktepe Forest Planning Unit, Manisa, Türkiye

Funder

Çankırı Karatekin University Project Department

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2024.2357837

Reference105 articles.

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2. Individual tree detection from unmanned aerial vehicle (UAV) derived point cloud data in a mixed broadleaf forest using hierarchical graph approach

3. Monitoring Post-Fire Forest Recovery Using Multitemporal Digital Surface Models Generated from Different Platforms;Aicardi I.;EarseL eProceedings,2016

4. Aksoy, H. 2023. “Sinop Orman Bölge Müdürlüğü Saf Sariçam Meşcerelerinde Farkli Uzaktan Algılama Verileri Kullanılarak Bazı Meşcere Parametrelerinin Modellenmesi.” In Doktora Tezi, Çankırı Karatekin Üniversitesi, Fen Bilimleri Enstitüsü, 172 s. Çankırı.

5. Individual Tree Detection and Qualitative Inventory of a Eucalyptus sp. Stand Using UAV Photogrammetry Data