A Two-Stage Algorithm for Pan-Asian Haze Mapping with the FY-4A/AGRI Geostationary Imager
Haze, as a critical factor affecting regional air quality and human health, necessitates accurate remote sensing identification for pollution monitoring and climate research. This study proposes a two-stage haze mapping algorithm (THMA), based on a backpropagation neural network and a random forest...
Bewaard in:
| Hoofdauteurs: | , , , , , , , |
|---|---|
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
MDPI AG
2026-02-01
|
| Reeks: | Remote Sensing |
| Onderwerpen: | |
| Online toegang: | https://www.mdpi.com/2072-4292/18/5/737 |
| Tags: |
Geen labels, Wees de eerste die dit record labelt!
|