Monitoring technologies

Data. Data that are collected in a fast, accurate, cheap, and reproducible manner. This task sounds easy, but it is in fact it remains one of the most important challenges that ecologists are faced with to understand and predict how ecological systems may response to disturbance and climate change. In the SalGo Team we are developing field-based and computer-based solutions to expedite how ecological data are integrated into ecological models.

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We are collaborating with leaders in autonomous robotics and AI from the Oxford Robotics Institute, as well as monitoring ecosystems in South Africa, China, and the UK using UAV (unmanned aerial vehicles; aka drones), to integrate all of these technologies and computer algorithms for a faster, cheaper, and more reliable pipeline of ecological understanding and prediction.

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SalGo team members:

  • Erola Fenollosa
  • Sam Levin
  • Jessie McLean
  • Sruthi Moorthy
  • Ollie Spacey
  • Alice Rosen
  • Rob Salguero-Gómez
  • Rachael Thornley
  • Man Qi

Selected collaborators:

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Selected publications:

Brook L, Pearce D, Kwoka K, Jawadea N, Qi MFenollosa E, Beker D, Whicker J, Davis K, Salguero-Gómez R, Wanga R, Chappella S. 2023. A video-rate hyperspectral camera for monitoring plant health and biodiversity. Proceedings of the Society of Photographic Instrumentation Engineers 12879 DOI 10.1117/12.3001623

Jackson J, Lawson C, Adelmant C, Huhtala E, Fernandes P, Hodgson RKing HWilliamson L, Maseyk K, Hawes N, Hector A & Salguero-Gómez R. 2022. Flexible estimation of biodiversity with short-range multispectral imaging in a temperate grassland. Ecology & Evolution 12, e9623 DOI 10.1002/ece3.9623

Bogdan A, Levin SSalguero-Gómez R, Knight T. 2021. Demographic analysis of Israeli Carpobrotus populations: management strategies and future directions. PLoS ONE 16, e0250879 DOI 10.1371/journal.pone.0250879