88.3 NASA_MODIS_active_fires_2016_2019
| metadata_field | |
|---|---|
| shortname | NASA_MODIS_active_fires_2016_2019 |
| title | NASA_MODIS_active_fires_2016_2019 |
| creator | Louis Giglio et al. |
| contact_email | car.data@sydney.edu.au |
| abstract |
Annual active fire density (fires/km2) from satellite-derived estimates of active fires (where detection confidence >30%) with 1km spatial resolution. The MODIS active fire product detects fires in 1-km pixels that are burning at the time of overpass under relatively cloud-free conditions using a contextual algorithm. Provided by Dr Luke Knibbs (and used to develop his automated satellite and land use regression models). For further information see: Giglio, L., Schroeder, W., and Justice, C. O., 2016, The Collection 6 MODIS active fire detection algorithm and fire products. Remote Sensing of Environment, 178:31-41. https://modis-fire.umd.edu/af.html https://modis-fire.umd.edu/files/MODIS_C6_Fire_User_Guide_C.pdf |
| additional_metadata | /home/public_share_data/ResearchData_CAR/Environment_General/Fire_MODIS/NASA_MODIS_active_fires_2016_2019 |
| alternate_identifier | https://cloud.car-dat.org/index.php/apps/files/?dir=/Environment_General/Fire_MODIS/NASA_MODIS_active_fires_2016_2019 |
| associated_party | |
| access_rules | Public |
| Recommended Citation | Giglio, L., Schroeder, W., Hall, J.V., & Justice, C.O. (2020): Collection 6 MOD14CMQ and MYD14CMQ monthly active fire climate modeling grid (CMG) 2016-2019. NASA MODIS. (Dataset). https://modis-fire.umd.edu/index.html. Downloaded from Centre for Air pollution, energy, and health Research https://cloud.car-dat.org/index.php/apps/files/?dir=/Environment_General/Fire_MODIS/NASA_MODIS_active_fires_2016_2019 |
| licence_code | other |
| accessibility | CAR |