Update README.md

README.md

@@ -10,7 +10,6 @@ pinned: false
 ---
 
 # Sentinelhub grant: Sponsoring request ID 1c081a - Towards a Smart Eco-epidemiological Model of Dengue in Colombia using Satellite in Collaboration with MIT Critical Data Colombia.
-Project supported by ESA Network of Resources Initiative
 
 Project proposal ([READ MORE](https://eo4society.esa.int/wp-content/uploads/2023/06/towards-a-smart-eco-epidemiological-model-of-dengue-in-colombia-using-satellite.pdf))
 
@@ -19,17 +18,16 @@ Project proposal ([READ MORE](https://eo4society.esa.int/wp-content/uploads/2023
 
 ## Model Description
 
-- **Repository:** [Code](https://github.com/sebasmos/satellite.extractor)
-- The proposed dataset format is shared in [Metadengue](https://github.com/sebasmos/MetaDengue)
+- **Dataset extraction Repository:** [Satellite Extractor Code](https://github.com/sebasmos/satellite.extractor)
+- **ML model training scripts** [SatelliteBench Code](https://github.com/mitcriticaldatacolombia/SatelliteBench.)
+- The proposed dataset format is shared in [Metadengue Repository](https://github.com/sebasmos/MetaDengue)
 - **ESA project:** Sponsoring request ID 1c081a - Towards a Smart Eco-epidemiological Model of Dengue in Colombia using Satellite in Collaboration with MIT Critical Data Colombia)
 - **Point of Contact:** [Sebastian A. Cajas Ordóñez](mailto:sebasmos@mit.edu)
 
-
 ## Summary 
 
 
-Here below find all the dataset's versions and descriptions. 
-
+Here below find all the dataset's versions and descriptions. The dataset employed in this study spans 81 municipalities in Colombia from 2016 to 2018, resulting in a total of 12,636 satellite images. The metadata associated with these images encompasses static sociodemographic variables, indices of poverty, and access to education. Additionally, dynamic epidemiological and climatic metadata were collected, providing a comprehensive spatiotemporal context for the analyses.
 
 *Baseline method from satellite extractor*: Raw data from Sentinel 2LC1 with recursive artifact removal, clouds removal based on LeastCC and Nearest Interpolation for spatial resolution.
 
@@ -77,18 +75,17 @@ wget path_to_data/images.zip && unzip images.zip -d images/
 wget path_to_data/annotations.zip && unzip annotations.zip -d annotations/
 ```
 
-## Sponsors
-
-* Project supported by ESA Network of Resources Initiative.
-
-Oracle for Research Cloud Credits:  “Towards a Smart Eco-epidemiological Model of Dengue in Colombia using Satellite Images” project by the Oracle for Research Program.
-
 ## Licensing Information
 The dataset is released under the terms of MIT. By using this, you are also bound to the respective Terms of Use and License of the original source.
 
 ##  Author & Mantainer
 
-[Sebastián Cajas Ordóñez](https://sebasmos.github.io/)
+[Sebastián Andrés Cajas Ordóñez](https://sebasmos.github.io/)
+
+## Acknowledgements
+
+This work is supported in part by Oracle for Research through Oracle Cloud Credits and related resources provided by Oracle for Research, as well as the European Space Agency’s Network of Resources Initiative under the sponsoring request ID 1c081a, and MISTI-Colombia, Cali seed fund. LAC is funded by the National Institute of Health through R01 EB017205, DS-I Africa U54 TW012043-01 and Bridge2AI OT2OD032701, and the National Science Foundation through ITEST 2148451.
+
 
 ## Contributors 
 
@@ -112,4 +109,15 @@ Satellite extractor, [Source code] GitHub. https://github.com/sebasmos/satellite
   journal={arXiv preprint arXiv:2401.11114},
   year={2024}
 }
+
+@article{moukheiber2024multimodal,
+  title={A multimodal framework for extraction and fusion of satellite images and public health data},
+  author={Moukheiber, Dana and Restrepo, David and Cajas, Sebasti{\'a}n Andr{\'e}s and Montoya, Mar{\'\i}a Patricia Arbel{\'a}ez and Celi, Leo Anthony and Kuo, Kuan-Ting and L{\'o}pez, Diego M and Moukheiber, Lama and Moukheiber, Mira and Moukheiber, Sulaiman and others},
+  journal={Scientific Data},
+  volume={11},
+  number={1},
+  pages={634},
+  year={2024},
+  publisher={Nature Publishing Group UK London}
+}
 ```