Near-surface remote sensing of plant condition in mine site restoration environments

Jaume Ruscalleda Alvarez

Research output: ThesisDoctoral Thesis

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In this thesis, I used two near-surface remote sensing data sources (hyperspectral reflectance and thermal imagery) to assess plant condition in functionally and morphologically diverse plant species growing in a restored mine site of Western Australia. In a glasshouse experiment, I accurately estimated leaf water content at the leaf level, and plant water status at the plant level on a wide range of species . I also obtained meaningful estimates of stomatal conductance using thermal images (which worked best for broad-leaved species). In the field, a combination of remotely sensed proxy indicators from hyperspectral data successfully tracked plant condition through seasons.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • The University of Western Australia
  • Yong, John, Supervisor
  • Stevens, Jason, Supervisor
  • Veneklaas, Erik, Supervisor
Thesis sponsors
Award date22 Jun 2023
Publication statusUnpublished - 2022


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