Mapping the Spatial Distribution of Poverty Using Satellite Imagery in the Philippines

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Mapping the Spatial Distribution of Poverty Using Satellite Imagery in the Philippines

admin

2021-03-05

出版年

2021

国家

国际

领域

气候变化 ; 资源环境

英文摘要

Mapping the Spatial Distribution of Poverty Using Satellite Imagery in the Philippines

Publication | March 2021

This report presents the results of a feasibility study on generating high-quality poverty statistics in the Philippines using satellite imagery, geospatial data, and powerful machine-learning algorithms.

Download (Free: 2.23 MB)

Price

US$25.00 (paperback)

Citable URL

http://dx.doi.org/10.22617/SPR210076-2

The “leave no one behind” principle of the 2030 Agenda for Sustainable Development requires appropriate indicators for different segments of a country’s population. Conducted by ADB in collaboration with the Philippine Statistics Authority and the World Data Lab, the study aimed to enhance the granularity, cost-effectiveness, and compilation of high-quality poverty statistics in the Philippines.

Background
How are Poverty Statistics Estimated?
Tapping Computer Vision Algorithms for Predicting Poverty Rates
Using Random Forest Estimation to Compile Grid-Level Estimates of Poverty Head Counts
Key Findings
Summary and Conclusion

Additional Details

Type	Reports
Subjects	Economics Information and Communications Technology Poverty Sustainable Development Goals
Countries	Philippines
Pages	70
Dimensions	8.5 x 11
SKU	SPR210076-2
ISBN	978-92-9262-131-5 (print) 978-92-9262-132-2 (electronic) 978-92-9262-133-9 (ebook)