Update README.md

README.md

@@ -7,12 +7,41 @@ Agriculture remains a cornerstone of Ghana's economy. More than half of the land
 <img src="study_area.png" alt="area of interest" width="500"/>
 
 ### Data 
+- CocoaMiningDS data contains a 3-class label (background-1, mining-2, cocoa-3), with dimensions ```1 x 128 x 128```
+
 - CocoaMiningDS relies on satellite imagery from [SmallMinesDS](https://huggingface.co/datasets/ellaampy/SmallMinesDS) which contains ```4270``` patches; ```2175``` each for 2016 and 2022
   
-- Each patch has an input shape of ```13 x 128 x 128``` and a corresponding mask of ```1 x 128 x 128```
+- The corresponding code for segmenting cocoa and mining landuse can be found [here](https://github.com/ellaampy/ml_cocoa_mining)
 
-- The labels contain 3 classes: background-1, mining-2, cocoa-3
 
 
 <img src="multilayer_sample_patches.png" alt="sample images" width="500"/>
 
+
+### Citation
+If you use the dataset or supporting code in your research, please cite `SmallMinesDS` and "Cocoa under Threat" as :
+
+```
+@ARTICaLE{10982207,
+  author={Ofori-Ampofo, Stella and Zappacosta, Antony and Kuzu, Rıdvan Salih and Schauer, Peter and Willberg, Martin and Zhu, Xiao Xiang},
+  journal={IEEE Geoscience and Remote Sensing Letters}, 
+  title={SmallMinesDS: A Multi-Modal Dataset for Mapping Artisanal and Small-Scale Gold Mines}, 
+  year={2025},
+  volume={},
+  number={},
+  pages={1-1},
+  keywords={Data mining;Foundation models;Gold;Satellite images;Sentinel-1;Optical sensors;Laser radar;Biological system modeling;Spaceborne radar;Radar imaging;Earth Observation;Semantic Segmentation;Mining;Machine Learning;Foundation Models},
+  doi={10.1109/LGRS.2025.3566356}}
+
+@ARTICaLE{id,
+  author={Ofori-Ampofo, Stella and Zappacosta, Antony and Kuzu, Rıdvan Salih and Schauer, Peter and Willberg, Martin and Zhu, Xiao Xiang},
+  journal={}, 
+  title={Cocoa under Threat: Assessing the Impact of Artisanal Gold Mining on Cocoa Landscapes using Remote Sensing and Foundation Model}, 
+  year={2025},
+  volume={},
+  number={},
+  pages={},
+  keywords={},
+  doi={00.000/000000}}
+
+```