Assessment of Smog Pattern and its Effects on Visibility in Lahore Using Remote Sensing and GIS

Abstract

In recent times, many parts of the world are experiencing drastic levels of air pollution, which includessmog, the mixture of fog and smoke, polluted air formed by human activities like burning of coal, excessive use ofvehicles and many others. During November 2016, Lahore city also experienced the smog due to increased level of airpollutants. In earlier studies, very limited research work has been done related to smog, therefore, this research is aimedto study the pattern of smog in Lahore and its impact on visibility through remote sensing and GIS. Satellite images ofMODIS and Landsat OLI, of November, 2016 is used to study the pattern of smog, whereas the visibility data wasacquired from Pakistan Meteorological Department (PMD). For the processing and analysis of data ERDAS IMAGINE14 and ArcGIS 10.1 software were used. The findings of this research reveal that the dense smog cover on 2nd, 3rd,and 4th November 2016 leads to the considerable reduction in visibility. As on 2nd November’16, it was only 111.6meters (m) while during bright days it was recorded more than 300 m or 400 m.

Using Remote Sensing for Identifying Suitable Areas for Flood Shelter: A Case Study of Thatta, Sindh Pakistan

“…Additionally, FR is an understandable way to assess flood risk analysis and mapping for future management (Liao and Carin, 2009). Using remote sensing (RS) and Normalized Difference Vegetation Index NDVI to detect the smog and temperature values reflect the impact of urban development areas (Jahan et al, 2019). In terms of functioning, all models produce similar and comparable results for flood mapping.…”