CaR3DMIC: A novel method for evaluating UAV-derived 3D forest models by tree features

A Fakhri, H Latifi, KM Samani, FE Fassnacht - ISPRS Journal of …, 2024 - Elsevier
1.1. Background Forest structural analysis can provide essential information to better
understand ecosystem dynamics (Bilek et al., 2011). For example, it enables identifying …

Combination of UAV photogrammetry and field inventories enables description of height–diameter relationship within semi-arid silvopastoral systems

A Fakhri, H Latifi, K Mohammadi Samani, Z Shakeri… - Remote Sensing, 2023 - mdpi.com
Pollarding oak trees is a traditional silvopastoral technique practiced across wide areas of
the northern Zagros mountains, a unique and vast semi-arid forest area with a strong cultural …

Aerial characterization of surface depressions in urban watersheds

L Techapinyawat, I Goulden-Brady, H Garcia… - Journal of …, 2023 - Elsevier
Digital elevation models (DEM) are one of the most fundamental inputs for hydrological
modeling. It has been a common practice to remove all surface depressions in a DEM as …

[HTML][HTML] Evaluating the performance of various interpolation techniques on digital elevation models in highly dense forest vegetation environment

SM Adedapo, HA Zurqani - Ecological Informatics, 2024 - Elsevier
Abstract A Digital Elevation Model (DEM) is a numerical representation of the Earth's
topography using an array of cells or pixels. DEMs are important for various purposes such …

[HTML][HTML] Effective UAV Photogrammetry for Forest Management: New Insights on Side Overlap and Flight Parameters

A Dhruva, RJL Hartley, TAN Redpath, HJC Estarija… - Forests, 2024 - mdpi.com
Silvicultural operations such as planting, pruning, and thinning are vital for the forest value
chain, requiring efficient monitoring to prevent value loss. While effective, traditional field …

[HTML][HTML] Influence of Main Flight Parameters on the Performance of Stand-Level Growing Stock Volume Inventories Using Budget Unmanned Aerial Vehicles

M Lisańczuk, G Krok, K Mitelsztedt, J Bohonos - Forests, 2024 - mdpi.com
Low-altitude aerial photogrammetry can be an alternative source of forest inventory data and
a practical tool for rapid forest attribute updates. The availability of low-cost unmanned aerial …

Training point-based deep learning networks for forest segmentation with synthetic data

FR Capua, J Schandin, P De Cristóforis - arxiv preprint arxiv:2403.14115, 2024 - arxiv.org
Remote sensing through unmanned aerial systems (UAS) has been increasing in forestry in
recent years, along with using machine learning for data processing. Deep learning …

Training Point-Based Deep Learning Networks for Forest Segmentation with Synthetic Data

F Raverta Capua, J Schandin… - … Conference on Pattern …, 2024 - Springer
Remote sensing through unmanned aerial systems (UAS) has been increasing in forestry in
recent years, along with using machine learning for data processing. Deep learning …

Estimasi area tergenang akibat kenaikan muka air laut menggunakan data unmanned aerial vehicles (UAV) pada kawasan pesisir teluk Ambon dalam, provinsi …

TI Noya, JL Gaol, SB Agus - Jurnal Kelautan Tropis, 2024 - ejournal2.undip.ac.id
The estimation model of potential tidal flooding areas in this study was built using altimetry
satellite data for the period January 1993–July 2023, tidal data of Teluk Ambon Dalam (TAD) …

Data-driven design in virtual reality: combining user perception with operational and physiological measures

L Saunier - 2024 - theses.hal.science
This thesis explores the integration of hybrid methodologies for optimising user experience
and human-machine interactions in virtual reality (VR). Traditional design methods rely …