Unique ID: WB34
| Division: | POV |
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| Issue Date: | February 13th 2019 |
| Last modified: | February 22nd 2019 |
Cost: FREE
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
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
| Type Of Institution: | international organization |
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| Region: | South Asia |
| Country Area: | Pakistan |
| Id Country Regional: | country |
SDG Indicators
| SDG Comments: | 1.1, 1.2, 1a, 1b, 17.18 |
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| SDG Relevance: | |
| SDG: | 01 - No Poverty17 - Partnerships for the Goals |
Other
| Income Level: | Lower-middle-income |
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| Iso: | PK |
| Timeframe To Produce Indicator: | NA |
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