Using deep transfer learning and satellite imagery to estimate urban air quality in data-poor regions
Indexed from repository: NASA Technical Reports Server
(
ntrs.nasa.gov)
Document Information
| Document Title | Using deep transfer learning and satellite imagery to estimate urban air quality in data-poor regions |
|---|---|
| Author / Organization | Nishant Yadav, Meytar Sorek-Hamer, Michael Von Pohle, Ata Akbari Asanjan, Adwait Sahasrabhojanee, Esra Suel, Raphael E Arku, Violet Lingenfelter, Michael Brauer, Majid Ezzati, Nikunj Oza, Auroop R. Ganguly |
| Subject & Discipline | REPRINT |
| Categories | Aerospace & Aviation |
| Publication Year | 2026 |
| License / Rights | Public Domain / NASA STI Open Access |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
NASA Technical Reports Server
(ntrs.nasa.gov)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-56834 |
| Original Source Link | Visit Source Page on ntrs.nasa.gov » |