Publications

Vetrita, Y; Cochrane, MA; Suwarsono; Priyatna, M; Sukowati, KAD; Khomarudin, MR (2021). Evaluating accuracy of four MODIS-derived burned area products for tropical peatland and non-peatland fires. ENVIRONMENTAL RESEARCH LETTERS, 16(3), 35015.

Abstract
Satellite-based burned area products are accurate for many regions. However, only limited assessments exist for Indonesia despite extensive burning and globally important carbon emissions. We evaluated the accuracy of four MODIS-derived (moderate resolution imaging spectroradiometer) burned area products (MCD45A1 collection 5.1, MCD64A1 (collection 5.1 and 6), FireCCI51), and their sensitivity to burned-area size and temporal window length used for detection. The products were compared to reference burned areas from SPOT 5 imagery using error matrices and linear regressions. The MCD45A1 product detected <1% of burned areas. The other products detected 38%-48% of burned area with accuracies increasing modestly (45%-57%) when smaller burns (<100 ha) were excluded, with MCD64A1 C6 performing best. Except for the MCD45 product, linear regressions showed generally good agreement in peatlands (R-2 ranging from 0.6 to 0.8) but detections were less accurate in non-peatlands (R-2 ranging from 0.2 to 0.5). Despite having higher spatial resolution, the FireCCI51 product (250 m) showed lower accuracy (OE = 0.55-0.88, CE = 0.33-0.50) than the 500 m MCD64A1 C6 product (OE = 0.43-0.79, CE = 0.36-0.51) but it was comparable to the C5.1 product (OE = 0.52-0.91, CE = 0.37-0.67). Dense clouds and smoke limited the accuracies of all burned area products, even when the temporal window for detection was lengthened. This study shows that emissions calculations based on burned area in peatlands remain highly uncertain. Given the globally significant amount of emissions from burning peatlands, specific attention is required to improve burned area mapping in these regions in order for global emissions models to accurately reflect when, where, and how much emissions are occurring.

DOI:
10.1088/1748-9326/abd3d1

ISSN:
1748-9326