Over the last decade, Dubai emirate witnessed a vast, rapid growing population, that doubled since 2008. Nowadays, Dubai consider as the most populated emirate within the United Arab Emirates (UAE). With such increasing population, and new urban developments, sustainable urban planning procedures play an essential role in Dubai’s environmental quality such as air quality, and pollution. Therefore, this study utilizes Remote Sensing and Geographic Information system (GIS) to investigate Dubai’s environmental quality by addressing and locating green areas and its percentage compared to population as standardized by the World Health Organization (WHO) for a healthy living. The study methodology is divided into three steps. First, Landsat satellite medium spatial resolution, and multi-spectral imagery used as an input for segmentation and object-based analysis. Considering the spectral and spatial signatures for green areas machine learning techniques adopted to select the most significant features to classify and extract green areas. Second, using environmental relational indices, green areas percentages were quantitatively compared to Sentinel 5b air quality maps, such as NO2 and SO2, as well as the population density maps. Finally, GIS used to to locate districts with limited green areas and high pollution to improve environmental standards. The study results can be used as a measure for the municipality policy makers to ensure sustainable urban development that follows WHO environmental standards.

Duration:

7 months (Jan 2020- July 2020)

Team Members:

  • Eng. Diena AlDogom
  • Eng. Saeed Almansoori
  • Eng. Alya Al Maazmi
  • Eng. Meera Al Shamsi

 

A Remote Sensing and GIS approach for environmental green areas planning using Dubai manucipility satellite imagery, Dubai-UAE