dllFire: Download CCI fire data GeoTIFF files that contain...

In RETURN-project/makeDataCube: Prepare raster datasets for upscaling recovery indicators

Description

Possible values: • 0 (zero): when the pixel is not burned. • 1 to 366: day of the first detection when the pixel is burned. • -1: when the pixel is not observed in the month. • -2: used for pixels that are not burnable: water bodies, bare areas, urban areas, permanent snow and ice.

Usage

dllFire(ofolder, logfile)

Arguments

ofolder	Full path to store the dataset
logfile	logfile

Details

The confidence level is the probability that the pixel is actually burned. A pixel with a confidence level of 80 means that it is burned with a probability of 80

Possible values: - 0 (zero): when the pixel is not observed in the month, or it is not burnable (not vegetated). - 1 to 100: Probability values. The closer to 100, the higher the confidence that the pixel is actually burned. This value expresses the uncertainty of the detection for all pixels, even if they are classified as unburned.

More information can be found in the Fire_cci_D4.2_PUG-MODIS_v1.0.pdf document or using the following url: https://www.esa-fire-cci.org/FireCCI51

Naming convention: yyyymmdd-ESACCI-L3S_FIRE-BA-MODIS-AREA-fv5.1-JD_crop.tif refers to the julian day layer for year yyyy, month mm and day dd. yyyymmdd-ESACCI-L3S_FIRE-BA-MODIS-AREA-fv5.1-CL_crop.tif refers to the confidence layer for year yyyy, month mm and day dd. Downloaded from: https://www.esa-fire-cci.org/FireCCI51 After registering, you can access the data from the ftp (under the folder pixel, version 5.1)

To be cited as: M.L. Pettinari, J. Lizundia-Loiola, E. Chuvieco (2020)ESA CCI ECV Fire Disturbance: D4.2Product User Guide-MODIS, version 1.0. Available at: https://www.esa-fire-cci.org/documents

Scientific literature: Lizundia-Loiola, J., Otón, G., Ramo, R., Chuvieco, E. (2020) A spatio-temporal active-fire clustering approach for global burned area mapping at 250 m from MODIS data. Remote Sensing of Environment 236: 111493, https://doi.org/10.1016/j.rse.2019.111493.

Chuvieco E., Yue C., Heil A., Mouillot F., Alonso-Canas I., Padilla M., Pereira J. M., Oom D. and Tansey K. (2016). “A new global burned area product for climate assessment of fire impacts.” Global Ecology and Biogeography 25(5): 619-629, https://doi.org/10.1111/geb.12440.

Chuvieco E., Lizundia-Loiola J., Pettinari M.L. Ramo R., Padilla M., Tansey K., Mouillot F., Laurent P., Storm T., Heil A., Plummer S. (2018) “Generation and analysis of a new global burned area product based on MODIS 250m reflectance bands and thermal anomalies”. Earth System Science Data 10: 2015-2031, https://doi.org/10.5194/essd-10-2015-2018.

Value

stores file to disk

RETURN-project/makeDataCube documentation built on Feb. 11, 2022, 3:04 p.m.