Update ReadMe

README.md

@@ -65,4 +65,29 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: apache-2.0
+pretty_name: PrediTree
 ---
+
+# Temporal Multispectral Canopy Dataset
+
+## Dataset Description
+This dataset provides multi-temporal, multi-spectral imagery and canopy height information for remote sensing, forest monitoring, and environmental analysis. All data are alligned at 0.5m resolution.
+
+### Features
+| Column             | Description |
+|-------------------|-------------|
+| `chm`             | Canopy Height Model (CHM) in meters. |
+| `rgb_1`, `rgb_2`, `rgb_3` | RGB imagery captured at three time periods (year 1, 2, 3). |
+| `irc_1`, `irc_2`, `irc_3` | Infrared imagery for three time periods (year 1, 2, 3). |
+| `chm_mean_year`    | Average canopy height across years. |
+| `rgb_irc_year_1`, `rgb_irc_year_2`, `rgb_irc_year_3` | Acquisition year of combined RGB + infrared imagery for three time periods (year 1, 2, 3). |
+
+## Citation
+@inproceedings{debery2025preditree,
+  title={PrediTree: A Multi-Temporal Sub-meter Dataset of Multi-Spectral Imagery Aligned With Canopy Height Maps},
+  author={Debary, Hiyam and Fiaz, Mustansar and Klein, Levente},
+  booktitle={GAIA},
+  year={2025},
+  url={https://huggingface.co/datasets/hiyam-d/vhr_canopy_height_allier_50cm_small}
+}