# Measuring poverty in India with machine learning and remote sensing

arXiv: https://arxiv.org/abs/2202.00109 · HTML: https://mlsanity.com/paper/2202.00109/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 Dec 2021.

## Built on by (most cited first, 2 of 2)

- [Detecting and Mitigating Treatment Leakage in Text-Based Causal Inference: Distillation and Sensitivity Analysis](https://mlsanity.com/paper/2601.02400/) (2025)
- [Joint Utilization of Geospatial and census proxies for Autoencoder-Assisted Downscaling (JUGAAD) of socioeconomic indicators in India](https://mlsanity.com/paper/2607.20559/) (2026)

## Abstract (arXiv)

In this paper, we use deep learning to estimate living conditions in India. We use both census and surveys to train the models. Our procedure achieves comparable results to those found in the literature, but for a wide range of outcomes.