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README.md

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-license: mit
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+<h1 style="text-align: center;"> :frog: :herb: EcoWikiRS: Learning Ecological Representations of Satellite Images from Weak
+Supervision with Species Observations and Wikipedia</h1>
+
+<a href="https://orcid.org/0009-0008-1527-3913">Valerie Zermatten <img alt="ORCID logo" src="https://info.orcid.org/wp-content/uploads/2019/11/orcid_16x16.png" width="16" height="16" /></a>,<a href="https://orcid.org/0000-0001-5607-4445"> Javiera Castillo-Navarro <img alt="ORCID logo" src="https://info.orcid.org/wp-content/uploads/2019/11/orcid_16x16.png" width="16" height="16" /></a>,<a href="https://orcid.org/0000-0002-1731-8993">Pallavi Jain <img alt="ORCID logo" src="https://info.orcid.org/wp-content/uploads/2019/11/orcid_16x16.png" width="16" height="16" /></a>,<a href="https://orcid.org/0000-0003-0374-2459"> Devis Tuia<img alt="ORCID logo" src="https://info.orcid.org/wp-content/uploads/2019/11/orcid_16x16.png" width="16" height="16" /></a>
+<a href="https://orcid.org/0000-0001-5607-4445"> Diego Marcos <img alt="ORCID logo" src="https://info.orcid.org/wp-content/uploads/2019/11/orcid_16x16.png" width="16" height="16" /></a>
+
+
+[![ArXiv](https://img.shields.io/badge/arXiv-2503.20871-B31B1B.svg?logo=arxiv&logoColor=white)](https://arxiv.org/abs/2504.19742) [![GitHub](https://img.shields.io/badge/GitHub-EcoWikiRS-black?logo=github)](https://github.com/eceo-epfl/EcoWikiRS) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.13121149.svg)](https://zenodo.org/records/15236742)
+
+
+
+
+<h4> Overview </h4>
+
+The **WikiRS** dataset, composed of triplets of images, species list and Wikipedia sentences :
+- **91k high-resolution aerial images** (50cm, RGB bands) from the swissIMAGE product 
+- crowd-sourced species observations from **2745 different species**,  collected from **GBIF**, geolocated within the footprint of the aerial image.
+- **103K different sentences** describing the habitat of the observed species, extracted from the corresponding Wikipedia article.
+
+
+<h4> How to cite this work: </h4>
+
+```
+@InProceedings{Zermatten_2025_WikiRS,
+    author    = { Zermatten, Valerie and Castillo-Navarro, Javiera and Jain, Pallavi and Tuia, Devis and Marcos, Diego},
+    title     = {EcoWikiRS: Learning Ecological Representations of Satellite Images from Weak Supervision with Species Observations and Wikipedia},
+    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
+    month     = {June},
+    year      = {2025},
+    pages     = {00-00}
+}
+```
+
+
+<h4>Additional data information </h4>
+
+- More information on the EUNIS ecosystem type map is available on the European Environment Agency website : [**Ecosystem type map** (all classes)](https://www.eea.europa.eu/en/analysis/maps-and-charts/ecosystem-type-map-all-classes-1).
+
+- The raw aerial images with 10cm resolution from the swissIMAGE product can be openly downloaded from the [swisstopo website ](https://www.swisstopo.admin.ch/de/orthobilder-swissimage-10-cm)
+
+
+
+Other smaller resources are mentioned in the relevant code sections. 

ecowikirs.zip

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