MorphoMetriX: a photogrammetric measurement GUI for morphometric analysis of megafauna

Torres, Walter I.; Bierlich, K. C.

doi:10.21105/joss.01825

Cited by 28 publications

(20 citation statements)

References 21 publications

(9 reference statements)

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“…CollatriX is a graphical user interface (GUI) developed using PyQt5 to collate outputs from MorphoMetriX (Torres & Bierlich, 2020), a photogrammetric measurement GUI designed for morphometric analysis of wild animals from aerial imagery. For each image used in MorphoMe-triX, a comma-separated-values sheet (.csv) is produced containing the custom measurements (length, area, angle) and their associated labels created by the user.…”

Section: Discussionmentioning

confidence: 99%

“…A safety option was built in CollatriX to increase user efficiency in working through large image datasets while avoiding user input errors. For example, MorphoMetriX automatically scales length measurements in pixels to real world values (i.e., meters) from manually entered altitude, focal length, and pixel dimension values (Torres & Bierlich, 2020). While this setup allows for each separate image to be scaled accordingly, there is potential for input errors when entering these values, especially when working through large datasets.…”

Section: Main Featuresmentioning

confidence: 99%

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CollatriX: A GUI to collate MorphoMetriX outputs

Bird¹,

Bierlich²

2020

JOSS

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Section: Discussionmentioning

confidence: 99%

Section: Main Featuresmentioning

confidence: 99%

CollatriX: A GUI to collate MorphoMetriX outputs

Bird¹,

Bierlich²

2020

JOSS

Self Cite

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“…If the issues with identifying reference points in this area can be resolved (e.g., software program modifications), the low variation achieved for replicate TBL measurements (1%–2%) suggests that small 1–2 cm changes in width would be detectable and thus useful for assessing body condition of dwarf minke whales and other cetaceans. Alternatively, further processing of suitable frames through an additional program that automatically calculates width at select intervals along the body (e.g., Christiansen et al, 2020; Torres and Bierlich, 2020) may provide a solution to the issue of manually identifying reference points inherent to the image processing software used herein.…”

Section: Discussionmentioning

confidence: 99%

Developing protocols for in‐water morphometric measurements of cetaceans using stereo‐videogrammetry

Hillcoat

Curnock

Gardiner

et al. 2020

Marine Mammal Science

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“…In a restoration context, these vegetation indices cannot only assess habitat health, but also help delineate habitats and differentiate species (Yaney-Keller et al, 2019). Open source software tools for UAS imagery are becoming more prevalent, enabling users to quickly conduct measurements on photographed organisms to assess their body condition and health (Torres and Bierlich, 2020). Advanced machine learning algorithms are now being widely used to classify UAS data based on spectral and 3D characteristics.…”

Section: Data Types and Usesmentioning

confidence: 99%

Unoccupied Aircraft Systems (UAS) for Marine Ecosystem Restoration

Ridge

Johnston

2020

Front. Mar. Sci.

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Assessing, implementing and monitoring ecosystem restoration can be a labor intensive process, often short term (<3 years), and potentially destructive to the habitat. Advances in remote sensing technology are generating rapid, non-destructive methods for siting, executing and monitoring restoration efforts, particularly in fragile marine environments. Unoccupied aircraft systems (UAS), or drones, are a highly flexible method for accessing and remote sensing ecosystems with on-demand capabilities, greater resolution than sensors from satellites and occupied aircraft, and the ability to cover large areas quickly. With the variety of platforms and payloads available, UASs are providing a suite of tools for conservation practitioners to properly plan marine ecosystem restoration projects and evaluate their success. Both conventional and specialized sensors coupled with image processing techniques can be used to gauge impact to and recovery of entire ecological communities. For example, high-resolution, multispectral imaging allows for discernment of population changes across trophic levels, concurrent with the discrimination of species (including rare) across a landscape, and detection of vegetation stress. Structure from Motion photogrammetric processing provides centimeter-scale three-dimensional models of habitat structure to measure ecologically significant aspects like rugosity and assess their change through time. Water quality around a broad impacted area can be remotely monitored via a number of payloads before and after restoration. Additionally, specially designed payloads can be used to manually disperse seeds or materials for restoration applications without disturbing the habitat. UASs have increasing potential to reduce the costs (both time and money) associated with restoration efforts, making site assessment and long-term, broad-scale monitoring more achievable. Here we present a review of the applications of UASs in marine ecosystem restoration with an overview of the special considerations of using this technology in the marine environment.

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MorphoMetriX: a photogrammetric measurement GUI for morphometric analysis of megafauna

Cited by 28 publications

References 21 publications

CollatriX: A GUI to collate MorphoMetriX outputs

CollatriX: A GUI to collate MorphoMetriX outputs

Developing protocols for in‐water morphometric measurements of cetaceans using stereo‐videogrammetry

Unoccupied Aircraft Systems (UAS) for Marine Ecosystem Restoration

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