2 citations · 2 across the 1 of their papers we have counts for
3 papers
Leveraging ChatGPT's Multimodal Vision Capabilities to Rank Satellite Images by Poverty Level: Advancing Tools for Social Science Research
Hamid Sarmadi, Ola Hall, Thorsteinn Rögnvaldsson +1
This paper investigates the novel application of Large Language Models (LLMs) with vision capabilities to analyze satellite imagery for village-level poverty prediction. Although L…
Towards Explaining Satellite Based Poverty Predictions with Convolutional Neural Networks
Hamid Sarmadi, Thorsteinn Rögnvaldsson, Nils Roger Carlsson +3
Deep convolutional neural networks (CNNs) have been shown to predict poverty and development indicators from satellite images with surprising accuracy. This paper presents a first…
What matters in the new field of machine learning and satellite imagery-based poverty predictions? A review with relevance for potential downstream applications and development research
Olan Hall, Francis Dompae, Ibrahim Wahab +1
This paper reviews the state of the art in satellite and machine learning based poverty estimates and finds some interesting results. The most important factors correlated to the p…