This research explores the application of remote sensing and GIS techniques to study the environmental impacts of paddy straw burning by farmers in Haryana and Punjab, the major northern rice producing states of India. In both these states, stubble burning is a common agricultural practice in the months of October and November, which significantly contributes to air pollution, soil erosion and climate change in this region. Remote sensing techniques, mainly through data from satellites such as Sentinel, MODIS and LANDSAT, provide an efficient way to monitor fire hotspots, smoke dispersion and post-harvest land use changes. Complementarily, GIS Applications facilitates spatial climate change analysis, enabling the integration of multi-source datasets to identify affected areas, assess air quality degradation and map the proximity of vulnerable populations and ecosystems. This study highlights the features of these techniques, such as real-time monitoring, comprehensive spatial coverage and multi-spectral analysis to detect emissions and heat signatures. However, the study also discusses the pros and cons of these techniques, including challenges such as low-resolution data cost, weather-dependent imagery, and data processing complexities. Integration of remote sensing and GIS provides valuable information about spatial and temporal patterns of stubble burning, which provides a basis for effective policy-making and sustainable agricultural practices.