{"type":"ScholarlyArticle","title":"VitSegh24: Illegal Mining Footprints Surveillance with GeoSpatial Imagery of Ghana","authors":[{"name":"Andrews Ata Kangah","slug":"andrews-ata-kangah","given":"Andrews Ata","family":"Kangah","affiliation":"Geomappers Engineering Ltd ."},{"name":"Armstrong Francis Tumawu","slug":"armstrong-francis-tumawu","given":"Armstrong Francis","family":"Tumawu","affiliation":"Geomappers Engineering Ltd ."}],"abstract":"Extractive operations along the mineral-rich coasts of Ghana over so many years have begun costing the lives of indigenous people living near the affected areas. Assessing the environmental impact of these activities over the 67 years of its perpetuation, underpins all local and global climate efforts, sustainability, and prevention of its adverse effects. This paper presents VitSegh24, an image segmentation model based on the Segformer pretrained model. The model is fine-tuned on high-resolution publicly available satellite masks data covering features like waste rock dumps, pits, water ponds, tailings dams and heap leach pads all identifiable within 238,533 square kilometers land cover of the country. We propose this model and future automation of the inference pipeline as a key tool that can be scaled over the entire continent of Africa, towards climate action and responsible land use. The code and dataset is provided at https://github.com/armtos-np/vitsegh","doi":"10.24963/ijcai.aai4g.2024/4","url":"https://ijcai.org/proceedings_aai4g/2024/4","pdf":"https://ijcai.org/proceedings_aai4g/2024/0004.pdf","markdown":"https://ijcai.org/proceedings_aai4g/2024/4.md","bibtex":"https://ijcai.org/proceedings_aai4g/2024/bibtex/4","volume":{"slug":"aai4g-2024","title":"Proceedings of the Second IJCAI AI for Good Symposium in Africa hosted by Deep Learning Indaba","short_title":"AI for Good Africa 2024","url":"https://ijcai.org/proceedings_aai4g/2024/","year":2024,"location":"Dakar, Senegal","dates":"1-7 September 2024","editors":"Avishkar Bhoopchand, Girmaw Abebe Tadesse, Sibusisiwe Makhanya, Frank Dignum, Georgina Curto","isbn":"978-1-956792-07-2","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.aai4g.2024"},"section":"Indaba","track":"Indaba","number":4,"pages":{"first":25,"last":30},"keywords":["Indaba: Indaba"],"videos":[],"references":[{"position":1,"raw":"[Bonafilia et al., 2020] Derrick Bonafilia, Beth Tellman, Tyler Anderson, and Erica Issenberg. 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