Update README.md

README.md

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-# Models for "_Characterizing long-term boreal forest ecosystems dynamics in Khanty-Mansi Autonomous Okrug (West Siberia) using time series remote sensing data and deep learning methods_"
-
-## Paper
-
-Paper is published at Forest Ecology and Management and is available at (link here)
-
-## Other data
-
-Jupyter notebooks, statistics and model logs are published on GitHub (link here), maps are published on Zenodo (link here)
-
-## Models description
-
-This repository contains SegFormer model checkpoints of 5 models that model dominant tree species, forest productivity class, forest type, age and growing stock in boreal forests of West Siberia.
-
+---
+metrics:
+- accuracy
+- f1
+pipeline_tag: image-segmentation
+tags:
+- geospatial
+- forest
+- species
+- productivity
+- age
+---
+# Models for "_Characterizing long-term boreal forest ecosystems dynamics in Khanty-Mansi Autonomous Okrug (West Siberia) using time series remote sensing data and deep learning methods_"
+
+## Paper
+
+Paper is published at Forest Ecology and Management and is available at (link here)
+
+## Other data
+
+Jupyter notebooks, statistics and model logs are published on GitHub (link here), maps are published on Zenodo (link here)
+
+## Models description
+
+This repository contains SegFormer model checkpoints of 5 models that model dominant tree species, forest productivity class, forest type, age and growing stock in boreal forests of West Siberia.
+
 The checkpoints are created with Remote Sensing Processor library, but can be loaded with Lightning too.