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.

Study of Atmospheric Turbidity on Different Algerian Sites Using a Model and MSG Satellite Images

Créateur:
MohAbdJulDje
Éditeur:
IEEE
Hôte:

Visit

doi.org

Languages

Arabic, Algerian Spoken

Licenses

https://doi.org/10.15223/policy-029https://doi.org/10.15223/policy-037

Similaires

Analysis of the atmospheric turbidity levels at two Tunisian sitesImproving evapotranspiration in a land surface model using biophysical variables derived from MSG/SEVIRI satelliteMapping Nigeria’s Poverty with Satellite Imagery Using Deep Learning: A Comparative Study of Day and Night Light Satellite ImagesPoverty Prediction by Using Deep Learning on Satellite ImagesHourly global solar radiation estimation from MSG-SEVIRI images-case study: AlgeriaChidinmaMadukife/GDP-Estimation-Using-Satellite-Images

Analysis of the atmospheric turbidity levels at two Tunisian sites

Improving evapotranspiration in a land surface model using biophysical variables derived from MSG/SEVIRI satellite

Abstract. Monitoring evapotranspiration over land is highly dependent on the surface state and veget

Mapping Nigeria’s Poverty with Satellite Imagery Using Deep Learning: A Comparative Study of Day and Night Light Satellite Images

Abstract: Poverty mapping plays a crucial role in understanding and addressing socioeconomic dispari

Poverty Prediction by Using Deep Learning on Satellite Images

Abstract: As the universe finds it challenging to define poverty, the world bank vi

Hourly global solar radiation estimation from MSG-SEVIRI images-case study: Algeria

Purpose This paper aims to propose an approach based on physical model integration for surface and

ChidinmaMadukife/GDP-Estimation-Using-Satellite-Images

A project on predicting provincial GDP in South Africa using satellite data and machine learning. A