![]() ![]() Remote sensing can provide additional spatio-temporal fire information to improve fire emission estimates. Ground-based fire data are primarily limited to the total burned area, with their completeness changing yearly with the location. While ground-based data are valuable, they have some restrictions that can be overcome by remote sensing. ![]() Considerable research has been published employing remote sensing data from coast to coast. In this context, continental-scale carbon emissions assessments were primarily attempted using ground-based datasets for forest ecosystem fires. It is extremely significant to measure the contribution of global forest fire and emissions trends of greenhouse gases. This is the main reason why large-scale forest fires release atmospheric carbon dioxide (CO 2) and hence, are responsible for increasing the rate of climate change to a great extent. As vegetation burns, release the carbon stored within them. ![]() Thus, forest fire, and climate change is intertwined concepts. It can play an important role in combustible environments, such as shrublands, grasslands, and forests, and contribute to climate change. 2Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Indiaįorest fires are emitting substantial amounts of greenhouse gases and particulate matter into the atmosphere than assumed in state climate targets.1CSIR-National Botanical Research Institute, Lucknow, India. ![]()
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