Calum Hoad

My PhD thesis is available here

I am a fourth-year PhD student on SENSE CDT, using optical data from satellites and drones to better understand Arctic vegetation change. In particular, I am interested in the sensitivity of Arctic greening analyses to changing abiotic phenomena and how this sensitivity may scale with spatial and temporal resolution. To date, I have focussed my PhD on the impact late-lying snow patches have on the vegetation metrics central to Arctic greening analyses. My research has included two field seasons, in the Canadian sub-Arctic Yukon (2022, 10 weeks) and the Arctic tundra of Western Greenland (2023, 5 weeks).

Changing snow persistence in tundra landscapes affects the detection of vegetation change with satellite imagery

Published as an article in Environmental Research Letters.

The amount of vegetation within a satellite pixel can affect our abiltiy to detect whether the vegetation is changing

Abrupt disturbance events, like landslides, can confuse our interpretation of ecological change from satellite imagery

You can find the pre-print of my work examining the relationship between vegetation metrics central to Arctic greening and fine-scale snow persistence here, and the graphic summary of the work is included below.

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