Author ORCID Identifier
M. Courtney Hughes: https://orcid.org/0000-0002-8699-5701
Elizabeth J. Folkmann: https://orcid.org/0009-0004-0706-5584
Document Type
Article
Publication Title
International Health
Abstract
Low-and middle-income countries experience 77% of the world’s premature deaths caused by non- communicable diseases, and their underlying health determinant data are often scarce and inaccurate. Im- proving satellite imagery data literacy worldwide is an integral step toward using the vast amount of publicly available data collected via satellites, such as air pollution, green space and light at night—all determinants of non-communicable diseases. Existing machine learning–based algorithms enable automated analysis of satel- lite imagery data, but health officials and scientists must know where to find and how to apply these algorithms to measure risk and target interventions.
DOI
https://doi.org/10.1093/inthealth/ihae076
Publication Date
2025
Recommended Citation
Hughes MC, Folkmann EJ. The sky’s the limit: Improving satellite imagery data literacy to address noncommunicable diseases. International Health. 2025. https://doi.org/10.1093/inthealth/ihae076
Original Citation
Hughes MC, Folkmann EJ. The sky’s the limit: Improving satellite imagery data literacy to address noncommunicable diseases. International Health. 2025. https://doi.org/10.1093/inthealth/ihae076
Department
School of Health Studies
