State of the art historical global burned area (BA) products largely rely on MODIS data, offering long temporal coverage but limited spatial resolution. As a result, small fires and complex landscapes remain underrepresented in global fire history reconstructions. By contrast, Landsat provides the only continuous satellite record extending back to the 1980s with substantially finer resolution, yet its use at global scale has long been hindered by infrequent revisits, cloud contamination, massive data volumes, and processing challenges. We compared MODIS FireCCI51 with the only existing Landsat-based product, GABAM, in a mountainous region, showing that the latter detects a higher number of burn scars, including small events, with higher Producer’s Accuracy (0.68 vs. 0.08) and similar User’s Accuracy (0.85 vs 0.83). These results emphasize the value of Landsat for reconstructing past fire regimes. Crucially, recent advances in cloud computing, data cubes, and processing pipelines now remove many of the former barriers to exploiting the Landsat archive globally. We argue that it is time to reconsider Landsat’s role and integrate it with MODIS-based routines to build comprehensive, accurate databases of historical fire activity, ultimately enabling improved understanding of long-term global fire dynamics.
Fornacca et al. (Thu,) studied this question.