Advancing an agenda for women in planning: an epilogue

Osborne, Natalie; Grant-Smith, Deanna; Bosman, Caryl

doi:10.1080/07293682.2017.1297322

Cited by 4 publications

(3 citation statements)

References 22 publications

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“…A pixhawk cube 2 autopilot and Ardu Pilot Mission Planner (Osborne, 2019) flight control software were used for piloting the UAV, in fully automatic and semi‐manual modes (semi‐manual can allow for altitude and speed to be maintained but the pilot can control direction). We opted to fly at 65 m altitude in 2018 and 100 m in 2020.…”

Section: Methodsmentioning

confidence: 99%

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Using water‐landing, fixed‐wing UAVs and computer vision to assess seabird nutrient subsidy effects on sharks and rays

Schiele,

Rowcliffe,

Clark

et al. 2023

Remote Sens Ecol Conserv

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Bird colonies on islands sustain elevated productivity and biomass on adjacent reefs, through nutrient subsidies. However, the implications of this localized enhancement on higher and often more mobile trophic levels (such as sharks and rays) are unclear, as spatial trends in mobile fauna are often poorly captured by traditional underwater visual surveys. Here, we explore whether the presence of seabird colonies is associated with enhanced abundances of sharks and rays on adjacent coral reefs. We used a novel long‐range water‐landing fixed‐wing unoccupied aerial vehicle (UAV) to survey the distribution and density of sharks, rays and any additional megafauna, on and around tropical coral islands (n = 14) in the Chagos Archipelago Marine Protected Area. We developed a computer‐vision algorithm to distinguish greenery (trees and shrubs), sand and sea glitter from visible ocean to yield accurate marine megafauna density estimation. We detected elevated seabird densities over rat‐free islands, with the commonest species, sooty tern, reaching densities of 932 ± 199 per km−2 while none were observed over former coconut plantation islands. Elasmobranch density around rat‐free islands with seabird colonies was 6.7 times higher than around islands without seabird colonies (1.3 ± 0.63 vs. 0.2 ± SE 0.1 per km2). Our results are evidence that shark and ray distribution is sensitive to natural and localized nutrient subsidies. Correcting for non‐sampled regions of images increased estimated elasmobranch density by 14%, and our openly accessible computer vision algorithm makes this correction easy to implement to generate shark and ray and other wildlife densities from any aerial imagery. The water‐landing fixed‐wing long‐range UAV technology used in this study may provide cost effective monitoring opportunities in remote ocean locations.

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Section: Methodsmentioning

confidence: 99%

“…A pixhawk cube 2 autopilot and Ardu Pilot Mission Planner (Osborne, 2019) flight control software were used Figure 1. The UAV system is handed back to the pilot by the daughter craft crew, after retrieval from a successful water landing, in 2018.…”

Section: Aerial Transects and Uav Designmentioning

confidence: 99%

Using water‐landing, fixed‐wing UAVs and computer vision to assess seabird nutrient subsidy effects on sharks and rays

Schiele,

Rowcliffe,

Clark

et al. 2023

Remote Sens Ecol Conserv

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show abstract

“…For each flight, paths were generated in Mission Planner, 50 with an altitude of 30 m, and a distance between scan lines of 4 m, which was chosen to ensure sufficient overlap in the imagery for generating a high quality 3D reconstruction and also to obtain more dense measurements for the radiation data. The height of 30 m allowed testing of the detection system's capabilities given the low activity level of the sources with a significant background signature present.…”

Section: Rmax Missionsmentioning

confidence: 99%

Radiation search operations using scene understanding with autonomous UAV and UGV

Christie

Shoemaker

Kochersberger

et al. 2017

Journal of Field Robotics

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Autonomously searching for hazardous radiation sources requires the ability of the aerial and ground systems to understand the scene they are scouting. In this paper, we present systems, algorithms, and experiments to perform radiation search using unmanned aerial vehicles (UAV) and unmanned ground vehicles (UGV) by employing semantic scene segmentation. The aerial data is used to identify radiological points of interest, generate an orthophoto along with a digital elevation model (DEM) of the scene, and perform semantic segmentation to assign a category (e.g. road, grass) to each pixel in the orthophoto. We perform semantic segmentation by training a model on a dataset of images we collected and annotated, using the model to perform inference on images of the test area unseen to the model, and then refining the results with the DEM to better reason about category predictions at each pixel. We then use all of these outputs to plan a path for a UGV carrying a LiDAR to map the environment and avoid obstacles not present during the flight, and a radiation detector to collect more precise radiation measurements from the ground. Results of the analysis for each scenario tested favorably. We also note that our approach is general and has the potential to work for a variety of different sensing tasks.

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Creating Reflective Peer Leaders

Winter

Grant-Smith

2023

Best Practices and Programmatic Approaches for Mentoring Educational Leaders

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This chapter explores a mentoring intervention for a group of higher degree research students at an Australian university designed to develop their academic and reflective writing through skills-based instruction and the development of a student-driven community of practice. To analyse and evaluate this initiative, the chapter provides a detailed description and unpacking of the program's motivations, objectives, and outcomes using 16 mentoring design elements. The program is also evaluated using an extended application of the 3P presage, process, product model. Three data sets were used to evaluate the success of the program: doctoral participants' evaluations at the time of the workshops and 12 months after the workshop and the reflections of the mentor and educator expert response for the program. The chapter concludes by identifying key learnings and potential for further application of a revised model for delivering holistic and co-designed learning experiences for future leaders such as doctoral students.

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Advancing an agenda for women in planning: an epilogue

Cited by 4 publications

References 22 publications

Using water‐landing, fixed‐wing UAVs and computer vision to assess seabird nutrient subsidy effects on sharks and rays

Using water‐landing, fixed‐wing UAVs and computer vision to assess seabird nutrient subsidy effects on sharks and rays

Radiation search operations using scene understanding with autonomous UAV and UGV

Creating Reflective Peer Leaders

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