دورية أكاديمية

Application of UAV photogrammetry for the assessment of forest structure and species network in the tropical forests of Southern Nigeria

التفاصيل البيبلوغرافية
العنوان: Application of UAV photogrammetry for the assessment of forest structure and species network in the tropical forests of Southern Nigeria
المؤلفون: Sehinde Akinbiola, Ayobami T. Salami, Olusegun O. Awotoye, Samuel. O. Popoola, Johnson A. Olusola
المصدر: Geocarto International, Vol 38, Iss 1 (2023)
بيانات النشر: Taylor & Francis Group, 2023.
سنة النشر: 2023
المجموعة: LCC:Physical geography
مصطلحات موضوعية: carbon stocks, obia, structure from motion, orthomosaics, ecosystem functions, tropical forest structure, Physical geography, GB3-5030
الوصف: Using the object-based image analysis (OBIA) technique, this study examined structural characteristics, quantified carbon stocks, and identified tree species in the tropical forests of southwestern Nigeria. The Structure from Motion (SfM) technique was used to produce orthomosaics with a ground sampling distance of 10 m from orthophotos recorded during a survey and optimized for forest assessment with the near-infrared band. In addition to tree species variables, GPS coordinates, tree diameter, and tree crown were all employed to estimate carbon stock in the study area. Carbon stock estimates of 450 tons per hectare were estimated , with a tree-specific range of 65 kg per tree to 8,488 kg per tree. There was a correlation between tree canopies and diameters, but no conclusive relationships between tree species distribution and position in their natural formations. OBIA significantly enhanced the current carbon inventory and provided a spatial characterization of species distribution in the research area.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1010-6049
1752-0762
10106049
Relation: https://doaj.org/toc/1010-6049; https://doaj.org/toc/1752-0762
DOI: 10.1080/10106049.2023.2190621
URL الوصول: https://doaj.org/article/68784b7f35dd450c81ced05aab3262f8
رقم الأكسشن: edsdoj.68784b7f35dd450c81ced05aab3262f8
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:10106049
17520762
DOI:10.1080/10106049.2023.2190621