A global dataset of forest regrowth following wildfires

We employed multiple remotely sensed datasets to generate the first global maps of forest structure regrowth including forest height, aboveground biomass (AGB), leaf area index (LAI), and fraction of photosynthetically active radiation (FPAR) following wildfires at a 30 m spatial resolution. The regrowth index for each structural parameter includes regrowth ratio and rate at 5-year intervals, primarily from 2000 to 2020. The dataset is stored in GeoTIFF format. We segmented the regrowth dataset globally into multiple regions due to the varied time series of data in different regions. For each region, we categorized the regrowth land type into the secondary forest (dense and non-dense forests) and other regrowth types. In areas of the secondary forest, we mapped the regrowth ratio and rate for each parameter (Height, AGB, LAI, and FPAR) of the secondary forest for multiple years at 5-year intervals. Taking Africa as an example, the filename and naming convention for the bands are: Filename: Africa_Height_regrowth.tif: Height regrowth of secondary forests following wildfires in Africa. Africa_AGB_regrowth.tif: AGB regrowth of secondary forests following wildfires in Africa. Africa_LAI_regrowth.tif: LAI regrowth of secondary forests following wildfires in Africa. Africa_FPAR_regrowth.tif: FPAR regrowth of secondary forests following wildfires in Africa. Bands of a file such as the Africa_height_regrowth.tif are: Regrowth_type_2020: Regrowth land type in 2020 following wildfires between 2000 and 2019. The dense forest, non-dense forest and others are coded as 10, 15, and 20, respectively. Height_regrowth_ratio_year: Height regrowth ratio of secondary forests following wildfires for a target year. Height_regrowth_rate_year: Height regrowth rate of secondary forests following wildfires for a target year.