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GlobFire Daily Fire Event Detection Based on MCD64A1
Fire boundaries based on the MODIS dataset MCD64A1. The data were computed based on an algorithm that relies on encoding in a graph structure a space-time relationship among patches of burned areas. Each fire has a unique number identifying the event. area burnt disaster fire globfire mcd64a1 -
GlobFire Final Fire Event Detection Based on MCD64A1
Fire boundaries based on the MODIS dataset MCD64A1. The data were computed based on an algorithm that relies on encoding in a graph structure a space-time relationship among patches of burned areas. Each fire has a unique number identifying the event. area burnt disaster fire globfire mcd64a1 -
MCD64A1.061 MODIS Burned Area Monthly Global 500m
The Terra and Aqua combined MCD64A1 Version 6.1 Burned Area data product is a monthly, global gridded 500m product containing per-pixel burned-area and quality information. The MCD64A1 burned-area mapping approach employs 500m MODIS Surface Reflectance imagery coupled with 1km MODIS active fire observations. The algorithm … burn change-detection fire geophysical global mcd64a1
[null,null,[],[[["GlobFire datasets provide daily and final fire boundaries based on the MODIS MCD64A1 dataset, using an algorithm that identifies burned areas and assigns unique identifiers to each fire event."],["The MCD64A1.061 dataset offers monthly, global, 500m resolution data on burned areas, utilizing MODIS imagery and active fire observations to map burn perimeters."],["All datasets use the MODIS MCD64A1 dataset, which focuses on identifying and mapping fire events and their impact."]]],["The content describes three datasets related to fire and burned areas, all utilizing the MODIS MCD64A1 dataset. Two datasets, \"GlobFire Daily\" and \"GlobFire Final,\" provide fire boundaries, computed by an algorithm using the space-time relationships between burned patches, each with a unique identifier. The third dataset, \"MCD64A1.061,\" is a monthly global product with 500m resolution, detailing burned areas and quality using surface reflectance imagery and active fire observations.\n"]]