@inproceedings{9b86c5cb673a41bcb497d4bb2ba8086c,
title = "Synthetic Reflections on Resource Extraction",
abstract = "This paper describes how AI models can be augmented and adapted to interpret landscapes. We present the technical framework of a Sentinel-2 satellite asset interpretation pipeline that combines statistical operations, human judgment, and generative AI models to produce succinct commentaries on industrial mining sites across the planet. To this end we introduce a novel bespoke landscape descriptor, the Urban Dwelling and Mining Index, and discuss how this metric can improve the performance of a multimodal language model in assessing the spatial distribution of mining operations.",
keywords = "Earth Observation, Landscape Interpretation, Mining, Planetary Computing, Repurposing Technology, Resource Extraction, Retrieval Augmented Generation",
author = "Tammali, \{Sai Krishna\} and Vinaya Kumar and Marc B{\"o}hlen",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.; 14th International Conference on Distributed, Ambient and Pervasive Interactions, DAPI 2026, held as part of the 28th International Conference on Human-Computer Interaction, HCII 2026 ; Conference date: 26-07-2026 Through 31-07-2026",
year = "2026",
doi = "10.1007/978-3-032-30038-6\_27",
language = "English",
isbn = "9783032300379",
series = "Lecture Notes in Computer Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "465--484",
editor = "Streitz, \{Norbert A.\} and Shin{\textquoteright}ichi Konomi",
booktitle = "Distributed, Ambient and Pervasive Interactions - 14th International Conference, DAPI 2026, Held as Part of the 28th HCI International Conference, HCII 2026, Proceedings",
address = "Germany",
}