firedata: Data on burned area, land cover, climate, vegetation, and...

In SOfireA: Satellite Observations for Fire Activity

Description

This data.frame contains several datasets on burned area, climate, soil moisture, vegetation, land cover, and socioeconomic variables. The data was extracted for sampled 0.25° grid cells of the globe and has monthly time steps. The data includes the following variables:

• cellid: identifier of grid cells

• lon: longitude

• lat: latitude

• regid: identifier for regions

• time: time (months between 1997 and 2011)

• area: area of grid cells (ha)

• train: indicator if data is used for training (train=1) or evaluation (train=4)

• GFED burned area version 4 (Giglio et al., 2013), http://www.globalfiredata.org

  • GFED.BA.obs: Fractional burned area of a 0.25° grid cell, used for optimization of SOFIA models

  • GFED.BA.unc: uncertainty of burned area

• ESA land cover_cci version 1.6.1, http://maps.elie.ucl.ac.be/CCI/viewer/index.php

  • CCI.LC.Tree.BE: broadleaved evergreen tree

  • CCI.LC.Tree.BD: Broadleaved deciduous trees

  • CCI.LC.Tree.NE: Needle-leaved evergreen trees

  • CCI.LC.Tree.ND: Needle-leaved deciduous trees

  • CCI.LC.Shrub.BE: Broadleaved evergreen shrubs

  • CCI.LC.Shrub.BD: Broadleaved deciduous shrubs

  • CCI.LC.Shrub.NE: Needle-leaved evergreen shrubs

  • CCI.LC.Herb: Natural grass and herbaceous vegetation

  • CCI.LC.Crop: Cropland and managed grass

  • CCI.LC.HrbCrp: Natural and managed grass and croplands = Herb + Crop

  • CCI.LC.Tree: Coverage of trees = Tree.BE + Tree.BD + Tree.NE + Tree.ND

  • CCI.LC.Shrub: Coverage of shrubs = Shrub.BE + Shrub.BD + Shrub.NE

  • CCI.LC.Broadleaf: Coverage of broadleaved vegetation = Tree.BE + Tree.BD + Shrub.BE + Shrub.BD

  • CCI.LC.Needleleaf: Coverage of needle-leaved vegetation = Tree.NE + Tree.ND + Shrub.NE

• CRU TS3.23 climate data (Harris et al., 2014), https://crudata.uea.ac.uk/cru/data/hrg/cru_ts_3.23

  • CRU.T.orig: Mean monthly air temperature (degC)

  • CRU.T.annual: Mean air temperature in the actual month and the 12 months before a fire

  • CRU.WET.orig: Monthly number of wet day

  • CRU.WET.annual: Mean number of wet days in the actual month and the 12 months before a fire

  • CRU.DTR.orig: Mean monthly diurnal temperature range (K)

• GPCC precipitation version 7, http://dx.doi.org/10.5676/DWD_GPCC/FD_M_V7_050

  • GPCC.P.orig: Monthly total precipitation (mm)

  • GPCC.P.annual: Total precipitation in the actual month and the 12 months before a fire

• ESA soil moisture_cci version 2.3 (Dorigo et al.) , http://cci.esa.int/data

  • CCI.SM.orig Mean monthly surface soil moisture

  • CCI.SM.annual Mean monthly surface soil moisture

• GIMMS fraction of absorbed photosynthetic active radiation version 3g (Zhu et al., 2013), http://cliveg.bu.edu/modismisr/lai3g-fpar3g.html

  • GIMMS.FAPAR.orig: Mean monthly FAPAR

  • GIMMS.FAPAR.pre: FAPAR in the month before a fire

  • GIMMS.FAPAR.annual: Mean FAPAR in the 12 months before a fire

• Multi-sensor harmonized vegetation optical depth (Liu et al., 2011b, 2015)

  • Liu.VOD.orig: Mean monthly VOD

  • Liu.VOD.pre: VOD in the month before a fire

  • Liu.VOD.annual: Mean VOD in the 12 months before a fire

• GRUMP population density version 1 (years 1990, 1995, 2000) (Balk et al., 2006), http://dx.doi.org/10.7927/H4R20Z93

  • PD.med: Population density (individuals km-2), median estimate of three methods for temporal inter- and extrapolation (spline interpolation, linear interpolation, interpolation with last value as constant)

• Night light development index (year 2006) (Elvidge et al., 2012), http://ngdc.noaa.gov/eog/dmsp/download_nldi.html

  • NLDI: Night light development index, but grid cells without night lights or population set to 1.01

Format

A data.frame.

References

Forkel, M., et al. (2016): in prep.

Examples

require(ModelDataComp)

data(firedata)
colnames(firedata)
dim(firedata)

# spatial distribution of the data
ScatterPlot(firedata$lon, firedata$lat, fit.global=FALSE, plot.type="points")

# latitudinal pattern of burned area
fit <- ScatterPlot(firedata$lat, firedata$GFED.BA.obs)

SOfireA documentation built on May 2, 2019, 6:07 p.m.