İçeriğe geç
akaturk Akademik ölçüm

Makale detayı · 2016 · article

İnsansız hava araçları ile yüksek hassasiyette sayısal yükseklik modeli üretimi ve ormancılıkta kullanım olanakları

Dergi İstanbul Üniversitesi Orman Fakültesi Dergisi
ISSN1309-6257
YÖKSİS OpenAlex Açık erişim · diamond TR Index
Yıl2016
Atıf37OpenAlex
Yüzdelik%85,5
FWCI2,221,00 = dünya ortalaması
WoS (JCR)Q3

Veri kaynağı ayrımı

  • YÖKSİSYÖKSİS makale kaydı
  • YÖKSİS dergi adıİstanbul Üniversitesi Orman Fakültesi Dergisi
  • OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)
  • Semantic Scholaratıf sayısı (OpenAlex ile birleştirilmez)

Özet

OpenAlex Türkçe

Unmanned Aerial Vehicles (UAVs) are sustained in flight by aerodynamic lift and guided without an onboard crew, they may be expandeble or recoverable and can fly autonomously or semiautonomously. Within the scope of study, new generation series autonomous UAV brand which is Trimble UX5 is used for generating high accuracy digital model model and obtaining high accuracy image in Istanbul University research and application forest. These obtained images are evaluated with photogrammetry software Trimble Business Center (TBC) v3.1. In this study it was determined that we can obtan high accuracy data image resolution from 2.4 cm to 24 cm depending on the flight altitude with UAV. It was concluded that UAV systems can contribute in forestry work yo obtain sensitive data because of there is no other high accuracy data such as LIDAR. And lack of trained personnel in UAV flights is disadvantages. In this study, UAV and it’s systems were evaluated and tested in all steps. It was expected that geographic information data which requiered forestry applications, can be easly be obtain with UAV. When Digital surface model (DSM) data was assessed comprehensively, it was concluded that the data which obtained from UAV systems are more cheaper, productive and from LIDAR and IFSAR data. At the same time UAV data are relatively sensitive such LIDAR and IFSAR.

Konular

Atıflar

OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.

37atıfOpenAlex · cited_by_count (önbellek / veritabanı)

Yerel katalogda bu makaleye atıf yapan 58 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

  1. 2019 Point cloud filtering on UAV based point cloudAtıf 163 · OpenAlex
  2. 2018 Accuracy assessment of a low-cost UAV derived digital elevation model (DEM) in a highly broken and vegetated terrainAtıf 86 · OpenAlex
  3. 2019 Determination and accuracy analysis of individual tree crown parameters using UAV based imagery and OBIA techniquesAtıf 60 · OpenAlex
  4. 2019 Determination and accuracy analysis of individual tree crown parameters using UAV based imagery and OBIA techniquesAtıf 60 · OpenAlex
  5. 2019 Determination and accuracy analysis of individual tree crown parameters using UAV based imagery and OBIA techniquesAtıf 60 · OpenAlex
  6. 2018 Evaluation of UAV- and GNSS-Based DEMs for Earthwork VolumeAtıf 54 · OpenAlex
  7. 2018 Evaluation of UAV- and GNSS-Based DEMs for Earthwork VolumeAtıf 54 · OpenAlex
  8. 2018 Evaluation of UAV- and GNSS-Based DEMs for Earthwork VolumeAtıf 54 · OpenAlex
  9. 2021 Classification of UAV point clouds by random forest machine learning algorithmAtıf 46 · OpenAlex
  10. 2019 The determination of some stand parameters using SfM-based spatial 3D point cloud in forestry studies: an analysis of data production in pure coniferous young forest standsAtıf 39 · OpenAlex

Yazarlar

6
  1. MUSTAFA AKGÜL İSTANBUL ÜNİVERSİTESİ-CERRAHPAŞA 1
  2. HÜSEYİN YURTSEVEN 2
  3. MURAT DEMİR İSTANBUL ÜNİVERSİTESİ-CERRAHPAŞA 3
  4. ABDULLAH EMİN AKAY 4
  5. SERCAN GÜLCİ 5
  6. TOLGA ÖZTÜRK 6