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

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.

Download Full-text

Structure from Motion Using Homography Constraints for Sequential Aerial Imagery

6th International Symposium of Space Optical Instruments and Applications - Space Technology Proceedings ◽

10.1007/978-3-030-56488-9_4 ◽

2021 ◽

pp. 37-44

Author(s):

Banglei Guan ◽

Zhang Li ◽

Qifeng Yu ◽

Yang Shang ◽

Xiaolin Liu

Keyword(s):

Structure From Motion ◽

Aerial Imagery

Download Full-text

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

Earth Surface Processes and Landforms ◽

10.1002/esp.4188 ◽

2017 ◽

Vol 42 (14) ◽

pp. 2350-2364 ◽

Cited By ~ 20

Author(s):

Jordan R. Mertes ◽

Jason D. Gulley ◽

Douglas I. Benn ◽

Sarah S. Thompson ◽

Lindsey I. Nicholson

Keyword(s):

Structure From Motion ◽

Aerial Imagery

Download Full-text

CAN DRONES MEASURE LWD?: HIGH RESOLUTION AERIAL IMAGERY AND STRUCTURE FROM MOTION AS A METHOD FOR QUANTIFYING INSTREAM WOOD

10.1130/abs/2017am-308662 ◽

2017 ◽

Cited By ~ 1

Author(s):

Tyler Truksa ◽

◽

Jake Bowman ◽

Jaime Goode

Keyword(s):

High Resolution ◽

Structure From Motion ◽

Aerial Imagery ◽

Instream Wood

Download Full-text

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

Remote Sensing ◽

10.3390/rs13010021 ◽

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.

Download Full-text

Supplementary material to "Mapping snow depth and volume at the alpine watershed scale from aerial imagery using Structure from Motion"

10.5194/tc-2021-34-supplement ◽

2021 ◽

Author(s):

Joachim Meyer ◽

S. McKenzie Skiles ◽

Jeffrey Deems ◽

Kat Bormann ◽

David Shean

Keyword(s):

Structure From Motion ◽

Snow Depth ◽

Aerial Imagery ◽

Watershed Scale ◽

Alpine Watershed ◽

Supplementary Material

Download Full-text

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

10.5194/tc-2021-34 ◽

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 (

Download Full-text