Results 81 to 90 of about 10,639 (216)

Using UAV‐derived point clouds to measure high resolution cliff dynamics in soft lithologies: Demons bluff, Victoria, Australia

Earth Surface Processes and Landforms, Volume 51, Issue 4, April 2026.
This study investigates coastal cliff dynamics at Demons Bluff, a 1.5 km stretch of soft Eocene–Oligocene marine sediments along the high‐energy southern coastline of Victoria, Australia (38.405°S, 144.204°E). Using a four‐year bi‐monthly time series of UAV‐derived Structure‐from‐Motion (SfM) point clouds (n = 29), we quantify spatial and temporal ...
Todd A. Doran, David M. Kennedy, R. Jak McCarroll, Blake M. Allan, Daniel Ierodiaconou   +4 more
wiley   +1 more source

Chapter 6 - SfM photogrammetry for GeoArchaeology

, 2020
Geoarchaeological studies have benefits from new technological developments in remote-sensing technologies that have become an integral and important part of the archeological researches. In particular, structure-from-motion (SfM) photogrammetry is one of the most successful emerging techniques in high-resolution topography (HRT) and provides ...
Cucchiaro, Sara, Fallu, Daniel Joseph, Zhao, Pengzhi, Tarolli, Paolo, Brown, Antony   +4 more
openaire   +1 more source

MEASUREMENT ACCURACY ON 3D POINT CLOUD GENERATED USING MULTISPECTRAL IMAGERY BY DIFFERENT CALIBRATION METHODS [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
The state-of-the-art lightweight multispectral cameras are widely used for low altitude remote sensing, also can be exploited as a tool for close-range photogrammetry application.
K. Zainuddin, K. Zainuddin, Z. Majid, M. F. M. Ariff, K. M. Idris   +4 more
doaj   +1 more source

New metric products, movies and 3D models from old stereopairs and their application to the in situ palaeontological site of Ambrona [PDF]

, 2017
[ES] Este artículo está basado en la información del siguiente proyecto:● LDGP_mem_006-1: "[S_Ambrona_Insitu] Levantamiento fotogramétrico del yacimiento paleontológico “Museo in situ” de Ambrona (Soria)", http://hdl.handle.net/10810/7353● LDGP_mem_006-1:
Lopetegi Galarraga, Ane, Martínez Lázaro, Rosa, Pérez Vidiella, Pablo, Rodríguez Miranda, Álvaro, Uceda Queirós, Sandra, Valle Melón, José Manuel   +5 more
core   +1 more source

UAVs unveil the role of small scale vegetation structure on wader nest survival

Remote Sensing in Ecology and Conservation, Volume 12, Issue 2, Page 211-225, April 2026.
In this study, we combine high‐resolution vegetation structural metrics derived from unmanned aerial vehicle (UAV) imagery with on‐field wader nest survival monitoring. We show that the immediate vegetation height and heterogeneity within a 2‐meter buffer surrounding the clutch of the recorded ground‐nesting wader species positively influenced its ...
Miguel Silva‐Monteiro, Miguel Villoslada, Thaisa Bergamo, Triin Kaasiku, Camilo Carneiro, David Kleijn   +5 more
wiley   +1 more source

The Synergistic Effects of GCPs and Camera Calibration Models on UAV-SfM Photogrammetry

Drones
Previous studies have shown that the use of appropriate ground control points (GCPs) and camera calibration models can optimize photogrammetry. However, the synergistic effects of GCPs and camera calibration models on UAV-SfM photogrammetry are still ...
Zixin Wang, Leyan Shi, Jinzhou Li, Wen Dai, Wangda Lu, Mengqi Li   +5 more
doaj   +1 more source

Validation of Geodetic Seafloor Benchmark Stability Using Structure‐From‐Motion and Seafloor Pressure Data

Earth and Space Science, 2019
One commonly used method to measure and detect centimeter‐scale changes on land is structure‐from‐motion (SfM) photogrammetry, wherein sets of digital images are used to generate three‐dimensional spatial models.
Matthew J. Cook, John B. DeSanto
doaj   +1 more source

Merging Unmanned Aerial Systems (UAS) Imagery and Echo Soundings with an Adaptive Sampling Technique for Bathymetric Surveys

Remote Sensing, 2018
Bathymetric surveying to gather information about depths and underwater terrain is increasingly important to the sciences of hydrology and geomorphology.
Laura V. Alvarez, Hernan A. Moreno, Antonio R. Segales, Tri G. Pham, Elizabeth A. Pillar-Little, Phillip B. Chilson   +5 more
doaj   +1 more source

Comparing convolutional neural network and random forest for benthic habitat mapping in Apollo Marine Park

Remote Sensing in Ecology and Conservation, Volume 12, Issue 2, Page 275-291, April 2026.
A comparison of Convolutional Neural Network (CNN) and Random Forest (RF) model predictions of benthic habitats within Apollo Marine Park. The CNN (left) and RF (right) classification maps show the spatial distribution of three habitat types: high energy circalittoral rock with seabed‐covering sponges, low complexity circalittoral rock with non‐crowded
Henry Simmons, Dang Nguyen, Benjamin Misiuk, Daniel Ierodiaconou, Sunil Gupta, Oli Dalby, Mary Young   +6 more
wiley   +1 more source

Interpretation at the controller's edge: designing graphical user interfaces for the digital publication of the excavations at Gabii (Italy) [PDF]

, 2016
This paper discusses the authors’ approach to designing an interface for the Gabii Project’s digital volumes that attempts to fuse elements of traditional synthetic publications and site reports with rich digital datasets.
Johnson, Tyler D., Opitz, Rachel S.
core   +1 more source