Historical Structure from Motion (HSfM): Automated processing of historical aerial photographs for long-term topographic change analysis

Knuth, Friedrich; Shean, David; Bhushan, Shashank; Schwat, Eli; Alexandrov, Oleg; McNeil, Christopher J.; Dehecq, Amaury; Florentine, Caitlyn; O’Neel, S.

doi:10.1016/j.rse.2022.113379

Cited by 20 publications

(16 citation statements)

References 71 publications

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“…Traditionally, air photos were taken "for mapping, charting of the sea coasts, building of highways, town planning and any ground activity, including disasters, where a measure of size or change had to be made" (Carbonetto, 1983). While these are still relevant applications of air photos in more modern times, recent advancement in GIS and remote sensing have also allowed these digital images to be used in projects involving landscape validation, feature identification and characterization, terrain classification, and more (Carvalho & Reef, 2022;Gomez et al, 2015;Knuth et al, 2023).…”

Section: Alma Digitalmentioning

confidence: 99%

Publishing historical air photos in Alma Digital

Duplain

2024

ACMLA Bulletin

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Air photos have been used to support GIS-related research projects at the University of Ottawa, particularly in the field of climate science. The University of Ottawa Library houses a large collection of historical paper air photos and have recently increased efforts to further digitize this collection. Traditionally, the photographs have been searchable through a custom ArcGIS Online Web App, but this standalone portal has been limited in the accessibility and discoverability of these resources. In 2021, the University of Ottawa Library implemented Alma Digital as its institutional DAMS, which allowed its digital assets to be searchable directly within the library catalog, Omni. Following the implementation of this DAMS, close to 1,000 of the Library’s digital air photo collection were added to this platform. This has provided a new discovery portal for these digital air photos. Work to improve the discoverability, organization, and description of these resources, as well as numerous digitization projects, is still ongoing.

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Section: Alma Digitalmentioning

confidence: 99%

Publishing historical air photos in Alma Digital

Duplain

2024

ACMLA Bulletin

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“…Subsequent steps involved image cropping to enhance focus, detail, and optimize data processing, ensuring the creation of a representative, uninterrupted image. The image was further positioned to align with realworld map coordinates, aiming to eradicate distortions caused by Earth's rotation, satellite motion, and surface curvature, adhering to the methodologies proposed by Knuth et al (2023). Image editing was conducted to augment the interpretability of data, catering to both digital and manual interpretation.…”

Section: Processing Analysis and Layout Creationmentioning

confidence: 99%

“…Mapping through remote sensing or aerial photography involves collecting image data, followed by image correction and digitization into a line map. Remote sensing image interpretation, categorized as visual or digital, aims to identify objects within the images (Knuth et al 2023).…”

Section: Introductionmentioning

confidence: 99%

Spatial distribution of paddy field’s heavy metals diversity contamination in Samarinda using remote sensing imagery

PALUPI,

HARDI,

FAHRUNSYAH

et al. 2024

Biodiversitas

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Abstract. Palupi NP, Hardi EH, Fahrunsyah, Rahayu DE, Nugroho RA, Darma S, Idris SD. 2023. Spatial distribution of paddy field’s heavy metals diversity contamination in Samarinda using remote sensing imagery. Biodiversitas 24: 6743-6752. The adverse effects of heavy metal contamination on rice fields posing a significant threat to food safety. This study, conducted from May to July 2023 in Samarinda East Kalimantan, Indonesia, aims to determine the distribution of active rice fields and heavy metal contamination through Kriging's interpolation method. Aerial photographic interpretations, facilitated by ArcGIS 10.4, were performed with 144 sample points within 4 Districts. The content of heavy metals was assessed by Atomic Absorption Spectroscopy at specific wavelengths: 248.3 nm for Fe, 228.8 nm for Pb, 283.3 nm for Cd, 357.9 nm for Cr, 279.5 nm for Mn, 213.9 nm for Zn, and 324.7 nm for Cu, following guidelines of SNI 8910:2021. The research showed that existing rice fields were concentrated in North Samarinda District (380,416 ha), Loa Janan Ilir District (210,133 ha), Sambutan District (404,682 ha), and Palaran District (188,617 ha) with Fe content ranged from 4.976,45 ppm to 16.800,485 ppm, exceeding the critical Fe limit in soil of 500 ppm set by SNI. Mn content ranged from 22.65 ppm to 564.88 ppm, surpassing the critical soil threshold of 0.15 ppm for Mn according to SNI. Cu content varied from 3.32 ppm to 121.75 ppm, exceeding critical Cu limit of 0.04 ppm. Zn content ranged from 8.61 ppm to 223.12 ppm, surpassing the critical limit of Zn's pollution in the soil (0.06 ppm). Pb content ranged from 10.72 ppm to 32,84 ppm, categorized as intermediate compared to the threshold of 0.07 ppm for Pb in soil. Cd content ranged from 0.04 ppm to 0.739 ppm, exceeding the critical limit of 0.01 ppm set by SNI. Cr content was detected to be less than 0.032 ppm, falling into a very low category, with the critical limit for Cr content in soil set at 0.5 ppm according to SNI.

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“…In contrast with classical stereophotogrammetry, the so-called structure from motion (SfM) is a nearly automated compilation of digital image processing strategies that minimises the degree of human intervention to generate both digital elevation models (DEM) and orthographic mosaics from aerial frames [35,39].…”

Section: Cartographic Products and Imagery Of Deception Islandmentioning

confidence: 99%

Deception Island 1967–1970 Volcano Eruptions from Historical Aerial Frames and Satellite Imagery (Antarctic Peninsula)

et al. 2023

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Aerial frames and satellite imagery are widely recognized data sources from which to produce maps. For volcanoes, maps enable the quantification of erupted ash and the destruction caused. The last eruptive sequence on Deception Island was endured from 1967 to 1970. Analogue maps were produced via classical photogrammetric methods with a high degree of human intervention mainly to analyse the volcanic-centres areas only. However, historical aerial frames cover the whole of Deception Island. Structure from motion photogrammetry, a near-automated compilation of digital image processing strategies, minimizes the degree of human intervention to produce orthographic mosaics and digital elevation models from digital aerial frames. Orthographic mosaics were produced from historical aerial frames of 1956 and 1968, and a Kompsat-3 image of 2020. Their shared root-mean-square deviation was 1.8 m and 1.7 m in easting and northing, respectively, at ground control points measured with phase-differential global navigation satellite systems. The digital elevation models were processed with a root-mean-square deviation of 2.3 m and 3.6 m from 1956 and 1968 aerial frames, respectively. As the first application, erupted ashfall and the subsequent destruction, mainly at the former Chilean and British bases, were identified, and the volume of erupted ash was assessed to be over 0.16 km3 within the area mapped by these new digital cartographic products.

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Historical Structure from Motion (HSfM): Automated processing of historical aerial photographs for long-term topographic change analysis

Cited by 20 publications

References 71 publications

Publishing historical air photos in Alma Digital

Publishing historical air photos in Alma Digital

Spatial distribution of paddy field’s heavy metals diversity contamination in Samarinda using remote sensing imagery

Deception Island 1967–1970 Volcano Eruptions from Historical Aerial Frames and Satellite Imagery (Antarctic Peninsula)

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