Global assessment of the temporal reporting accuracy and precision of the MODIS burned area product

A method for the systematic evaluation of the temporal reporting accuracy and precision of burned area products conducted using active fire detections as the reference dataset is described. The method is applied globally to 6 years of Moderate Resolution Imaging Spectroradiometer (MODIS) burned area and active fire product data. The distribution of the time difference between active fire and burned area detections that occur within 90 days is analysed and summary statistics extracted globally. The median time difference in reporting between the MODIS burned area and the active fire product detections is 1 day and the majority of MODIS burned area product detections occur temporally close to an active fire detection: 50% within a single day and 75% within 4 days. Users of the MODIS burned area product with temporal reporting requirements should be aware of these findings if using the approximate day of burning information provided in the burned area product.

[1]  Stefan W. Maier,et al.  Improving estimates of savanna burning emissions for greenhouse accounting in northern Australia: limitations, challenges, applications , 2009 .

[2]  David P. Roy,et al.  Southern Africa Validation of the MODIS, L3JRC, and GlobCarbon Burned-Area Products , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[3]  J. Morisette,et al.  Validation analyses of an operational fire monitoring product: The Hazard Mapping System , 2008 .

[4]  D. Roy,et al.  The collection 5 MODIS burned area product — Global evaluation by comparison with the MODIS active fire product , 2008 .

[5]  D. Morton,et al.  Validation of GOES and MODIS active fire detection products using ASTER and ETM+ data , 2008 .

[6]  P. Barbosa,et al.  A MODIS assessment of the summer 2007 extent burned in Greece , 2008 .

[7]  J. Grégoire,et al.  A new, global, multi‐annual (2000–2007) burnt area product at 1 km resolution , 2008 .

[8]  D. Roy,et al.  A focus group study of factors that promote and constrain the use of satellite-derived fire products by resource managers in southern Africa. , 2007, Journal of environmental management.

[9]  Jeffrey T. Morisette,et al.  Validation of active fire detection from moderate-resolution satellite sensors: the MODIS example in northern eurasia , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[10]  Javier Gallego,et al.  A sampling method for the retrospective validation of global burned area products , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[11]  C. Justice,et al.  Global distribution and seasonality of active fires as observed with the Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) sensors , 2006 .

[12]  Sundar A. Christopher,et al.  Mesoscale modeling of Central American smoke transport to the United States: 1. “Top‐down” assessment of emission strength and diurnal variation impacts , 2006 .

[13]  Will Steffen,et al.  Establishing A Earth Observation Product Service For The Terrestrial Carbon Community: The Globcarbon Initiative , 2006 .

[14]  C. Justice,et al.  Validation of the MODIS active fire product over Southern Africa with ASTER data , 2005 .

[15]  D. Roy,et al.  Prototyping a global algorithm for systematic fire-affected area mapping using MODIS time series data , 2005 .

[16]  S. Plummer,et al.  Burnt area detection at global scale using ATSR‐2: The GLOBSCAR products and their qualification , 2004 .

[17]  J. Pereira,et al.  Vegetation burning in the year 2000: Global burned area estimates from SPOT VEGETATION data , 2004 .

[18]  Sundar A. Christopher,et al.  Real‐time monitoring of South American smoke particle emissions and transport using a coupled remote sensing/box‐model approach , 2004 .

[19]  C. Justice,et al.  Seasonal variation and ecosystem dependence of emission factors for selected trace gases and PM2.5 for southern African savanna fires , 2003 .

[20]  Yoram J. Kaufman,et al.  An Enhanced Contextual Fire Detection Algorithm for MODIS , 2003 .

[21]  D. Roy,et al.  An overview of MODIS Land data processing and product status , 2002 .

[22]  David P. Roy,et al.  MODIS land data storage, gridding, and compositing methodology: Level 2 grid , 1998, IEEE Trans. Geosci. Remote. Sens..