Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Aerosol Optical Depth (AOD) of African Countries

Domaine:

environment and energy

Type de record:

dataset
Créateur:
Tus
Hôte:
Satellite Data for Air Quality Prediction Model

Visit

www.kaggle.com

Tags

africaearth and naturepollutionbusinesshealthintermediatetabularregression

Licenses

CC BY-NC-SA 4.0

Similaires

Machine-Learning Approaches for Assessing Aerosol Optical Depth (AOD) in Ghana, West AfricaCharacterization of aerosol optical depth (AOD) anomalies in September and October 2022 over Skukuza in South AfricaMeasurement of aerosol optical depth and sub-visual cloud detection using the optical depth sensor (ODS)Diurnal variability of aerosol optical depth observed at AERONET (Aerosol Robotic Network) sitesModIs Dust AeroSol (MIDAS): A global fine resolution dust optical depth datasetTrend relationship between mountain normalized difference vegetation index (NDVI) and aerosol optical depth (AOD) across two decades: implication for water quality within the Lesotho Highlands, Drakensberg, South Africa

Machine-Learning Approaches for Assessing Aerosol Optical Depth (AOD) in Ghana, West Africa

In the field of environmental health, assessing air pollution exposure has historically posed challe

Characterization of aerosol optical depth (AOD) anomalies in September and October 2022 over Skukuza in South Africa

International audience Abstract. Most major field campaigns, such as the Southern Afr

Measurement of aerosol optical depth and sub-visual cloud detection using the optical depth sensor (ODS)

International audience A small and sophisticated optical depth sensor (ODS) has been

Diurnal variability of aerosol optical depth observed at AERONET (Aerosol Robotic Network) sites

Diurnal variability of aerosol optical depth is important for various applications, including satell

ModIs Dust AeroSol (MIDAS): A global fine resolution dust optical depth dataset

Monitoring and describing the spatiotemporal variability of dust aerosols is crucial to und

Trend relationship between mountain normalized difference vegetation index (NDVI) and aerosol optical depth (AOD) across two decades: implication for water quality within the Lesotho Highlands, Drakensberg, South Africa