Advertisement

Towards Remote Sensing Datasets Collection and Processing

  • Boudriki Semlali Badr-eddineEmail author
  • Chaker El Amrani
Conference paper
Part of the Lecture Notes in Intelligent Transportation and Infrastructure book series (LNITI)

Abstract

The world is witnessing important increases in industrial, transport and agriculture activities. This leads to economic growth, but, on the other hand, causes substantial damage in urban air, due to emissions of harmful gases, mainly CO, SO2, NO2 and PM. The World Health Organization (WHO) confirms that daily exposure to pollutants causes approximately three millions of deaths (Smith et al. in Annu Rev Public Health 35(1):185–206, [3]). It is therefore necessary to assess continuously the air quality. In this context, a Java-based application was developed to acquire data from EUMETSAT geostationary and Polar Orbit satellites, through the Mediterranean Dialogue Earth Observatory (MDEO) terrestrial station (El Amrani et al. in Development of a real-time urban remote sensing initiative in the mediterranean region for early warning and mitigation of disasters. IEEE, pp. 2782–2785, [2]). This application filters, subsets, processes and visualizes products covering Morocco zone. Thanks to this program, significant correlations were found between emissions and industrial activities related to power thermal plants, factories, transportation and ports.

Keywords

Remote sensing Air pollution Data processing Data visualization JAVA application 

References

Journal article

  1. 1.
    Clerbaux, C., Hadji-Lazaro, J., Turquety, S., George, M., Boynard, A., Pommier, M., … Van Damme, M.: Tracking pollutants from space: eight years of IASI satellite observation. C. R. Geosci. 347(3), 134–144 (2015).  https://doi.org/10.1016/j.crte.2015.06.001CrossRefGoogle Scholar
  2. 2.
    El Amrani, C., Rochon, G.L., El-Ghazawi, T., Altay, G., Rachidi, T.: Development of a real-time urban remote sensing initiative in the mediterranean region for early warning and mitigation of disasters. IEEE, pp. 2782–2785 (2012).  https://doi.org/10.1109/IGARSS.2012.6350855
  3. 3.
    Schowengerdt, R.A.: Remote sensing: models and methods for image processing. 3rd ed., p. 2. Academic Press (2007). ISBN 978-0-12-369407-2Google Scholar
  4. 4.
    Smith, K.R., Bruce, N., Balakrishnan, K., Adair-Rohani, H., Balmes, J., Chafe, Z., … Rehfuess, E.: Millions dead: how do we know and what does it mean? Methods used in the comparative risk assessment of household air pollution. Annu. Rev. Public Health 35(1), 185–206 (2014).  https://doi.org/10.1146/annurev-publhealth-032013-182356CrossRefGoogle Scholar

Website

  1. 5.
    EUMETSAT Website: Current Satellites. Retrieved from https://www.eumetsat.int/website/home/Satellites/CurrentSatellites/index.html
  2. 6.
    Unidata Website: NetCDF format. Retrieved from https://www.unidata.ucar.edu/software/netcdf/
  3. 7.
    Github Website: Folium Library. Retrieved from https://github.com/python-visualization/folium
  4. 8.
    Matplotlib Website: Basemap Library. Retrieved from https://matplotlib.org/basemap/users/examples.html
  5. 9.
    Maroc-address Website: factories and thermal power plants of Morocco. Retrieved from http://www.maroc-adresses.com/

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Boudriki Semlali Badr-eddine
    • 1
    Email author
  • Chaker El Amrani
    • 1
  1. 1.Abdelmalek Essaâdi UniversityTétouanMorocco

Personalised recommendations