Andy Cunliffe

These are the last few days to register for the Machine Learning for Earth Observation (ml4eo.org) conference happening on June 18-20. The event includes training workshops and over 50 contributions from academia and industry. Bursaries are available for students who don’t otherwise have funding.

Join us at #ML4EO 2025, a conference on Machine Learning for Earth Observation @exeter.ac.uk!

Whether you’re from academia, the public sector, or industry, ML4EO is an opportunity to reflect on RS and identify the most promising directions for future innovation.

Registration is now open: ml4eo.org

It's fantastic to see this new paper led by @bpickstone.bsky.social from her MSc project with @tess-lab.org. Her findings that 10 m grain Sentinel-2 data & relatively simple random forest models are more useful than finer spatial grain & complex CNN models are useful for applied forest monitoring.

Postdoctoral Research Fellow at University of Exeter An opportunity for an academic position as a Postdoctoral Research Fellow is available, as advertised on jobs.ac.uk. Apply now and explore other academic job openings.

Job opportunity for a Postdoctoral Research Fellow to join our PREDICT: Predicting Resilience and Early Detection of Impending Climate Transitions project, esp. focussing on remote sensing of permafrost.

The application deadline is the 5th of Feb though so be quick!

www.jobs.ac.uk/job/DLN726/p...

Repeated drone photogrammetry surveys demonstrate that reconstructed canopy heights are sensitive to wind speed but relatively insensitive to illumination conditions Unoccupied aerial vehicle (UAV) based structure-from-motion (SfM) photogrammetry surveys are becoming a standard tool for ecologists to measure plant structure and biomass in non-forest ecosystems....

"Canopy heights reconstructed with drone photogrammetry are sensitive to wind speed but relatively insensitive to illumination conditions." Critical insight for anyone working with these approaches from PhD student Glenn Slade's recent paper in @ijremotesensing.bsky.social

doi.org/10.1080/0143...

Untangling the environmental drivers of gross primary productivity in African rangelands - Communications Earth & Environment Total precipitation, temperature and soil nitrogen are the main drivers of gross primary productivity in dry rangelands in sub-Saharan Africa, with more variable rainfall having a small but negative i...

Re-celebrating this recent paper led by talented @tess-lab.org PhD student Guy Lomax on "Untangling the environmental drivers of gross primary productivity in African rangelands" published in @commsearth.bsky.social h.bsky.social

www.nature.com/articles/s43...

Browning events in Arctic ecosystems: Diverse causes with common consequences Arctic ecosystems are experiencing extreme climatic, biotic and physical disturbance events that can cause substantial loss of plant biomass and productivity, sometimes at scales of >1000 km2. Collect...

I'm delighted to see our new paper "Browning events in Arctic ecosystems: diverse causes with common consequences" out in PLOS Climate. Thanks to Gareth Phoenix's leadership, this should become a benchmark study!

doi.org/10.1371/jour...

For anyone seeking funding to engage with the learning or research communities at the University of Exeter, please check out this Funding Finder we've developed exeter.shinyapps.io/funding_find..., signposting hundreds of funding awards for every nationality and level.

Terrestrial Ecosystem Science & Services Visit the post for more.

We work closely with many partners, including those from academia and non-academic settings to progress an applied research agenda to develop and share insights into sustainable ecosystem function across scales, in socially just ways. For more information visit tess-lab.org

Intro: I'm Andy Cunliffe, leading the Terrestrial Ecosystem Science and Services Lab at the University of Exeter. We aim to improve understanding of how landscapes function & can be managed for sustainable social & ecological benefit, using geospatial tools alongside spatial ecology & social science

We are undergoing a second data call!

Here, we are focusing on tree species and the annotated RGB imagery.

@COSTprogramme @isprs
#drones #trees #deeplearning

PS: All data calls within @3DForEcoTech are available here: https://t.co/Tf5m1eZ7Ub

👇👇👇 https://t.co/jZcTQkpBZO

📢 Data Call Alert!
We’re building an international database for tree species classification! Share aerial RGB/RGBI imagery & manual tree species annotations by 30 Nov 2024. Contributors will join as co-authors! Here: https://bit.ly/3As0v17 #RemoteSensing #OpenData