Indian Village Satellite Imagery and Energy Access Dataset
datasetposted on 07.11.2017 by Kyle Bradbury, Boning Li, Benjamin Brigman, Gouttham Chandrasekar, Shamikh Hossain, Trishul Nagenalli, Leslie Collins, Timothy Johnson, Marc Jeuland
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
This dataset contains remote sensing data for every village in the state of Bihar, India. For most of these villages, the data contains the corresponding electrification rate as reported by the Garv data platform from the Indian government as of July 2017. This dataset contains satellite imagery, political boundaries, lights at night imagery, rainfall measurements, and vegetation indices data for 45,220 villages and the electrification rate data for 32,817 of those villages. This dataset may be of particular interest to those investigating how electricity access maps to infrastructure and agricultural production.
This dataset was compiled as part of the Summer 2017 Duke University Data+ team, titled "Electricity Access in Developing Countries from Aerial Imagery."
Duke University Data+; Duke University Energy Initiative; Bass Connections in Energy