Detection of Illegal Kiln Activity During SMOG Period

TL;DR

This paper presents a method using low-resolution remote sensing data to detect illegal brick kiln activity during SMOG periods by analyzing heat signatures and atmospheric gas concentrations.

Contribution

It introduces a novel approach combining remote sensing data with gas concentration analysis to identify illegal kiln operations during pollution-prone periods.

Findings

Effective detection of illegal kiln activity during SMOG periods.

Correlation between heat signatures and gas concentrations established.

Potential for real-time monitoring of industrial pollution sources.

Abstract

Brick Kilns are known to be a leading cause of air pollution. The toxins and gaseous emissions from brick kilns leads to SMOG. It is a mixture of invisible toxic gases such as carbon monoxide (CO), ozone (O$_3$), sulphur dioxide (SO$_2$) and particulate matter like soot and carcinogens. We propose how low spatial resolution remote sensing data can be used to identify illegal industrial activity i.e. kiln operation particularly during winter SMOG period through heat signature values and the concentration of gases like CO, NO$_2$, SO$_2$ and O$_3$ in the atmosphere.