Dataset: ESA Biomass Climate Change Initiative (Biomass_cci): Global datasets of forest above-ground biomass for the years 2010, 2017 and 2018, v3#

Dataset identifier: esacci.BIOMASS.yr.L4.AGB.multi-sensor.multi-platform.MERGED.3-0.r1
Data store: cciodp

How to open this dataset in AVL JupyterLab  

cciodp_store = new_data_store('cciodp')
ds = cciodp_store.open_data('esacci.BIOMASS.yr.L4.AGB.multi-sensor.multi-platform.MERGED.3-0.r1')

Bounding box map#

Bounding box map
Map tiles and data from OpenStreetMap, under the ODbL.

Basic information#

Parameter Value
Bounding box longitude (°) -180.0 to 180.0
Bounding box latitude (°) -90.0 to 90.0
Time range 2010-01-01 to 2020-12-31
Time period 1Y

Click here for full dataset metadata.

Variable list#

Click on a variable name to jump to the variable’s full metadata.

Variable Long name Units
agb Above-ground biomass Mg/ha
agb_se Above-ground biomass standard_error Mg/ha

Full variable metadata#

agb#

Field Value
long_name Above-ground biomass
ancillary_variables agb_se
grid_mapping crs
units Mg/ha
valid_min 0.0
valid_max 10000.0
orig_data_type int16
fill_value -32768
size 191362500000
shape 3, 157500, 405000
chunk_sizes 1, 11250, 11250
file_chunk_sizes 1, 11250, 11250
data_type int16
dimensions time, lat, lon
file_dimensions time, lat, lon

agb_se#

Field Value
long_name Above-ground biomass standard_error
grid_mapping crs
units Mg/ha
valid_min 0.0
valid_max 10000.0
orig_data_type int16
fill_value -32768
size 191362500000
shape 3, 157500, 405000
chunk_sizes 1, 11250, 11250
file_chunk_sizes 1, 11250, 11250
data_type int16
dimensions time, lat, lon
file_dimensions time, lat, lon

crs#

Field Value
GeoTransform -180 0.00088888888888 0 80 0 -0.00088888888888
grid_mapping_name latitude_longitude
inverse_flattening 298.257223563
longitude_of_prime_meridian 0.0
long_name CRS definition
semi_major_axis 6378137.0
false_easting 0.0
false_northing 0.0
spatial_ref GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563,AUTHORITY[\"EPSG\",\"7030\"]],AUTHORITY[\"EPSG\",\"6326\"]],PRIMEM[\"Greenwich\",0],UNIT[\"degree\",0.0174532925199433],AUTHORITY[\"EPSG\",\"4326\"]]
DODS strlen: 0
orig_data_type bytes1024
size 1
shape 1
chunk_sizes 1
file_chunk_sizes 1
data_type bytes1024
dimensions
file_dimensions

Full dataset metadata#

Field Value
title ESA Biomass Climate Change Initiative (Biomass_cci): Global datasets of forest above-ground biomass for the years 2010, 2017 and 2018, v3
source ALOS-2 PALSAR-2 FB and WB mosaics, Sentinel-1 GRD
history AGB estimation with BIOMASAR-L, v202106, AGB estimation with BIOMASAR-C, v202106, Merging of AGB estimates, v202106
references http://cci.esa.int/biomass
product_version 3-0
comment These data were produced at ESA CCI as part of the ESA Biomass CCI project.
project Climate Change Initiative - European Space Agency
ecv BIOMASS
institute Gamma Remote Sensing
processing_level L4
product_string MERGED
data_type AGB
abstract This dataset comprises estimates of forest above-ground biomass for the years 2010, 2017 and 2018. They are derived from a combination of Earth observation data, depending on the year, from the Copernicus Sentinel-1 mission, Envisat’s ASAR instrument and JAXA’s Advanced Land Observing Satellite (ALOS-1 and ALOS-2), along with additional information from Earth observation sources. The data has been produced as part of the European Space Agency's (ESA's) Climate Change Initiative (CCI) programme by the Biomass CCI team. This release of the data is version 3. Compared to version 2, this is a consolidated version of the Above Ground Biomass (AGB) maps. This version also includes a preliminary estimate of AGB changes for two epochs. The data products consist of two (2) global layers that include estimates of: 1) above ground biomass (AGB, unit: tons/ha i.e., Mg/ha) (raster dataset). This is defined as the mass, expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots 2) per-pixel estimates of above-ground biomass uncertainty expressed as the standard deviation in Mg/ha (raster dataset) In addition, files describing the AGB change between 2018 and the other two years are provided (labelled as 2018_2010 and 2018_2017). These consist of two sets of maps: the standard deviation of the AGB change and a quality flag of the AGB change. Note that the change itself can be simply computed as the difference between two AGB maps, so is not provided directly. Data are provided in both netcdf and geotiff format.
publication_date 2021-11-25T12:12:01
uuid 5f331c418e9f4935b8eb1b836f8a91b8
catalog_url https://catalogue.ceda.ac.uk/uuid/5f331c418e9f4935b8eb1b836f8a91b8
sensor_id multi-sensor
platform_id multi-platform
cci_project BIOMASS