🌍Exploring Sentinel-2 with the Copernicus Data Space Ecosystem (CDSE)? Hugh Graham’s guide with vrtility in #rstats. Includes authentication & query of imagery and building cloud-free composites […] [Original post on fosstodon.org]

Chapter 1: Introduction to Geocomputation 🌍📊 What is geocomputation? Why use R for spatial analysis? 📌 This chapter traces its history, connects it to FOSS4G, and explores R’s power for geospatial work. Learn about R-spatial’s evolution! 🚀 🔗 […] [Original post on fosstodon.org]

🔍 Interested in spatial machine learning with R?🌍 We compare caret, tidymodels, and mlr3 for spatial tasks — and show how their workflows differ. Read it here: https://geocompx.org/post/2025/sml-bp1/ #machinelearning #spatialAnalysis #rstats #rspatial

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.

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...

"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...

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...

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.

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