Maja Schneider

12 Followers
7 Following
17 Posts
EuroCrops | Explainable AI | Earth Observation | Time Series Data
GitHubhttps://github.com/maja601
Super excited to share that our latest research on boosting #CropClassification with #SatelliteData is finally out in #RemoteSensingOfEnvironment ๐Ÿš€๐ŸŒพ
Look into our findings on improving accuracy in agricultural monitoring - you don't want to miss it if you're into #Agriculture and #RemoteSensing! โฉ https://www.sciencedirect.com/science/article/pii/S0034425724001214
Also, a huge shoutout to the incredible team behind this: Valentin Barriere, Martin Claverie, Guido Lemoine and Raphaรซl d'Andrimont; well done! ๐Ÿ™Œ

My colleague Michael Engel revealed one of the secrets of why we all love #RemoteSensing and #EarthObservation: Our planet is just absolutely stunning!

Make sure to flick through these incredible images and be reminded that Earth is not all just cold, rainy and grey (๐Ÿ‡ฉ๐Ÿ‡ช + ๐Ÿ‡ฌ๐Ÿ‡ง, I am looking at you!! )
๐ŸŒ ๐Ÿ’š

https://www.asg.ed.tum.de/en/lmf/remote-sensations/

Remote Sensations

How diverse are the annotations in #European #Crop #Datasets and how can we use that? (After months of #Harmonisation of course ๐Ÿ˜‰ )
Working with great people made this fantastic paper finally a thing and I could not be happier that our preprint is now published โžก https://www.researchsquare.com/article/rs-3725140/latest
Grab a mulled wine and enjoy this little Christmas treat/read ๐Ÿค— ๐ŸŽ„
Towards Understanding the Impact of European Agriculture on Biodiversity with an Updated Hierarchical Crop and Agriculture Taxonomy (HCAT)

Modern agriculture plays a significant role in driving the decline of global biodiversity. The homogenization of landscapes, the reduction of natural habitats, and the intense use of pesticides are substantial factors for natural species populations to shrink or even disappear. However, despit...

The official #DataDescriptior for #EuroCrops is now ready for you all to enjoy in #Nature #ScientificData ๐Ÿฅณ Give it a read if you are into #Agiculture and #Crops in #Europe ๐Ÿ‡ช๐Ÿ‡บ๐ŸŒพ(And I know you are!๐Ÿค“)

๐Ÿž๏ธ https://www.nature.com/articles/s41597-023-02517-0

I am so happy we made this work, and a big #ThankYou to the most fantastic co-authors Tobias Schelte, Felix Schmitz and Marco Kรถrner ๐Ÿ™Œ

EuroCrops: The Largest Harmonized Open Crop Dataset Across the European Union - Scientific Data

EuroCrops contains geo-referenced polygons of agricultural croplands from 16 countries of the European Union (EU) as well as information on the respective crop species grown there. These semantic annotations are derived from self-declarations by farmers receiving subsidies under the common agricultural policy (CAP) of the European Commission (EC). Over the last 1.5 years, the individual national crop datasets have been manually collected, the crop classes have been translated into the English language and transferred into the newly developed hierarchical crop and agriculture taxonomy (HCAT). EuroCrops is publicly available under continuous improvement through an active user community.

Nature
๐Ÿ‘ฉโ€๐ŸŽ“ NEW #POSTDOC OPENING ๐Ÿ‘จโ€๐ŸŽ“
Begรผm Demirs Remote Sensing Image Analysis group at TU Berling is looking for a postdoc to join their absolute fantastic team!
If you love working with #EO data (which I know you do!!), make sure to visit https://www.jobs.tu-berlin.de/en/job-postings/161877 ๐Ÿค“
Job Posting IV-111/23: Research Assistant - salary grade 14 TV-L Berliner Hochschulen - For qualification โ€“ Job Postings at Technische Universitรคt Berlin

๐Ÿ“ข๐Ÿ‡ฎ๐Ÿ‡น Calling all #TimeSeries and #XAI experts! ๐Ÿ•ฐ๏ธ๐Ÿ”๐Ÿ“ˆ Join us in Torino, Italy for #ECML #PKDD and #XAITS - a workshop on Explainable AI for Time Series data! ๐ŸŒŸ๐Ÿค– Submit your paper on explainable and interpretable time series modelling before June 12th! Don't miss out on this exciting opportunity to showcase your research and connect with other XAI-TS enthusiasts (like me and @jakobs!) ๐Ÿ™Œ๐Ÿ“๐Ÿ‘ฉโ€๐Ÿ”ฌ๐Ÿง‘โ€๐Ÿ”ฌ๐Ÿ‘จโ€๐Ÿ”ฌ

โฉ๏ธ https://lamarr-institute.github.io/xai-ts-workshop/

Call For Papers

XAI-TS Workshop
From satellites to equations ๐Ÿ›ฐ๏ธ๐Ÿงฎ
I'm trading in my remote sensing hat for a mathlete jersey! Excited to stay at Imperial College London for the next year and see where this new adventure takes me. #FromSpaceToEquations #PhDLife #ResearchExchange
To everyone who wants MORE than just a SIGMOID output ๐Ÿ™…โ€โ™€๏ธ ๐Ÿ™…โ€โ™‚๏ธ
@jakobs, his team (and me) are planning to host a Workshop on #ExplainableAI (#XAI) for #TimeSeries #Data at the #ECML #PKDD 2023 and we need your #Feedback!!
โ‰๏ธ https://forms.gle/YQJME4uS4QaYZTJb7
See you in Turin ๐Ÿ‡ฎ๐Ÿ‡น๐Ÿ˜
Workshop on Explainable AI for Time Series: Advances and Applications (ECML PKDD23)

This workshop aims to bring together experts and researchers to discuss recent developments and applications of explainable AI for Time Series data.

Google Docs