# Synthetic Reflections on Resource Extraction

arXiv: https://arxiv.org/abs/2602.09299 · HTML: https://mlsanity.com/paper/2602.09299/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 10 Feb 2026.

## Built on by (most cited first, 1 of 1)

- [Scrapyard AI](https://mlsanity.com/paper/2604.08803/) (2026)

## Abstract (arXiv)

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.