A REVIEW ON METHODS FOR DETECTING STUBBLE RESIDUE BURNING USING SATELLITE REMOTE SENSING

Abstract

Stubble residue burning is a significant environmental issue, contributing to air pollution, greenhouse gas emissions, and public health hazards. Satellite remote sensing has emerged as a vital tool for detecting and monitoring stubble burning events over large areas. This paper reviews the various methods used for detecting stubble residue burning through satellite remote sensing. Various methods discussed include thermal anomaly detection, smoke plume identification, spectral analysis and the role of machine learning. A comparative analysis of these methods is provided, focusing on their accuracy, resolution, computational requirements and ability to capture the spatial and temporal dynamics of stubble burning. Sentinel-2 MSI and MODIS data is used to detect and visualize the fire for state of Punjab region.