Assessing landscape changes associated to anthropic disturbances by means of the application of Structure from Motion photogrammetry using historical aerial imagery

2018 ◽  
Vol 46 ◽  
pp. 74-81
Author(s):  
Manel Llena ◽  
Marco Cavalli ◽  
Damià Vericat ◽  
Stefano Crema
Keyword(s):  
Structure From Motion ◽  
Aerial Imagery ◽  
Landscape Changes

Local Feature Performance Evaluation for Structure-from-Motion and Multi-View Stereo Using Simulated City-Scale Aerial Imagery

2020 ◽  
pp. 1-1
Author(s):  
Ke Gao ◽  
Hadi Ali Akbarpour ◽  
Joshua Fraser ◽  
Koundinya Nouduri ◽  
Filiz Bunyak ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Structure From Motion ◽  
Local Feature ◽  
Aerial Imagery

Using UAVs to Manage Archaeological Heritage

2020 ◽  
pp. 247-264
Author(s):  
Erin Friedman ◽  
Cory Look ◽  
Matthew Brown
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Structure From Motion ◽  
Heritage Management ◽  
Aerial Imagery ◽  
Surface Model ◽  
Archaeological Research ◽  
Archaeological Heritage ◽  
Sugar Plantation ◽  
Aerial Vehicles ◽  
Archaeological Excavations

This chapter explores the use of UAVs (unmanned aerial vehicles) for the use of archaeological investigations and heritage management at the historic sugar plantation of Betty’s Hope, Antigua. While the acquisition of low flying aerial imagery, such as kite photography, has been common practice within archaeological research, recent software innovations coupling photogrammetry and UAV technologies are providing new tools for exploration. Two different approaches for UAV acquisition are explored in this chapter: the first for use within archaeological excavations and the second for use at studying the landscape. Both have particular implications for heritage management, as the use of structure from motion (SfM) methodology coupled with aerial imagery can be used to produce an accurate 3D surface model of the site that is akin to site scanners and LiDAR technology. The important differences and limitations to these technologies are discussed.

scholarly journals Using structure-from-motion to create glacier DEMs and orthoimagery from historical terrestrial and oblique aerial imagery

2017 ◽  
Vol 42 (14) ◽  
pp. 2350-2364 ◽  
Author(s):  
Jordan R. Mertes ◽  
Jason D. Gulley ◽  
Douglas I. Benn ◽  
Sarah S. Thompson ◽  
Lindsey I. Nicholson
Keyword(s):  
Structure From Motion ◽  
Aerial Imagery

scholarly journals Mapping snow depth and volume at the alpine watershed scale from aerial imagery using Structure from Motion

2021 ◽  
Author(s):  
Joachim Meyer ◽  
S. McKenzie Skiles ◽  
Jeffrey Deems ◽  
Kat Bormann ◽  
David Shean
Keyword(s):  
Time Series ◽  
Structure From Motion ◽  
Snow Depth ◽  
Aerial Imagery ◽  
Aerial Images ◽  
Data Sets ◽  
Watershed Scale ◽  
Valuable Data ◽  
Snow Distribution ◽  
Alpine Watershed

Abstract. Time series mapping of water held as snow in the mountains at global scales is an unsolved challenge to date. In a few locations, lidar-based airborne campaigns have been used to provide valuable data sets that capture snow distribution in near real-time over multiple seasons. Here, an alternative method is presented to map snow depth and quantify snow volume using aerial images and Structure from Motion (SfM) photogrammetry over an alpine watershed (300 km2). The results were compared to the lidar-derived snow depth measurements from the Airborne Snow Observatory, collected simultaneously. Where snow was mapped by both ASO and SfM, the depths compared well, with a mean difference of 0.01 m, NMAD of 0.22 m, and snow volume agreement (difference 1.26 %). ASO though, mapped a larger snow area relative to SfM, with SfM missing ~14 % of total snow volume as a result. Analyzing the SfM reconstruction errors shows that challenges for photogrammetry remain in vegetated areas, over shallow snow (

scholarly journals Structure-From-Motion Photogrammetry of Antarctic Historical Aerial Photographs in Conjunction with Ground Control Derived from Satellite Data

2020 ◽  
Vol 13 (1) ◽  
pp. 21
Author(s):  
Sarah F. Child ◽  
Leigh A. Stearns ◽  
Luc Girod ◽  
Henry H. Brecher
Keyword(s):  
Data Collection ◽  
Structure From Motion ◽  
Temporal Scale ◽  
Aerial Imagery ◽  
Aerial Photographs ◽  
Aerial Image ◽  
Ground Control ◽  
In Situ Data ◽  
Glacier Dynamics

A longer temporal scale of Antarctic observations is vital to better understanding glacier dynamics and improving ice sheet model projections. One underutilized data source that expands the temporal scale is aerial photography, specifically imagery collected prior to 1990. However, processing Antarctic historical aerial imagery using modern photogrammetry software is difficult, as it requires precise information about the data collection process and extensive in situ ground control is required. Often, the necessary orientation metadata for older aerial imagery is lost and in situ data collection in regions like Antarctica is extremely difficult to obtain, limiting the use of traditional photogrammetric methods. Here, we test an alternative methodology to generate elevations from historical Antarctic aerial imagery. Instead of relying on pre-existing ground control, we use structure-from-motion photogrammetry techniques to process the imagery with manually derived ground control from high-resolution satellite imagery. This case study is based on vertical aerial image sets collected over Byrd Glacier, East Antarctica in December 1978 and January 1979. Our results are the oldest, highest resolution digital elevation models (DEMs) ever generated for an Antarctic glacier. We use these DEMs to estimate glacier dynamics and show that surface elevation of Byrd Glacier has been constant for the past ∼40 years.

Rapid mapping accuracy assessment using low-cost UAV and open-source Structure from Motion

2020 ◽  
Vol 52 ◽  
pp. 55-61
Author(s):  
Ettore Potente ◽  
Cosimo Cagnazzo ◽  
Alessandro Deodati ◽  
Giuseppe Mastronuzzi
Keyword(s):  
Open Source ◽  
Structure From Motion ◽  
Accuracy Assessment ◽  
Low Cost ◽  
Mapping Accuracy ◽  
Rapid Mapping ◽  
Source Structure
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