Unique ID: WB34

Division: POV
Issue Date: February 13th 2019
Last modified: February 22nd 2019
Collaborative

Using High Resolution Satellite Imagery and Detection Algorithms to Better Track Poverty in Pakistan

Using High Resolution Satellite Imagery and Detection Algorithms to Better Track Poverty in Pakistan

SDG: 01 - No Poverty17 - Partnerships for the Goals

We propose to use high resolution satellite imagery (< 1m) and detection algorithms to improve traditional poverty mapping techniques to better measure and monitor poverty in Pakistan. Specifically, we propose to acquire multi-spectral satellite data and develop an algorithm to identify the type of roofs used in local housing (Abelson et al., 2014). The main goal is to learn a) the extent to which high-resolution data improves the accuracy of poverty predictions, and b) the extent to which changes in poverty over time are captured by these satellite derived poverty predictors.

Project Sources
Project Sources
Type Of Institution: international organization
Region: South Asia
Country Area: Pakistan
Id Country Regional: country
SDG Indicators
SDG Indicators
SDG Comments: 1.1, 1.2, 1a, 1b, 17.18
SDG: 01 - No Poverty17 - Partnerships for the Goals
Other
Other
Income Level: Lower-middle-income
Iso: PK
Timeframe To Produce Indicator: NA
Write Your Own Review
You're reviewing:Using High Resolution Satellite Imagery and Detection Algorithms to Better Track Poverty in Pakistan
Your Rating