Dataset: ESA Land Cover Climate Change Initiative (Land_Cover_cci): Global Plant Functional Types (PFT) Dataset, v2.0.8#

Dataset identifier: esacci.LC.yr.L4.PFT.Unspecified.Unspecified.Map.2-0-8.r1
Data store: cciodp

How to open this dataset in AVL JupyterLab  

cciodp_store = new_data_store('cciodp')
ds = cciodp_store.open_data('esacci.LC.yr.L4.PFT.Unspecified.Unspecified.Map.2-0-8.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 1992-01-01 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
WATER Water [none]
BARE Bare [none]
BUILT Built [none]
GRASS-MAN Managed grasses [none]
GRASS-NAT Natural grasses [none]
SHRUBS-BD Broadleaved deciduous shrubs [none]
SHRUBS-BE Broadleaved evergreen shrubs [none]
SHRUBS-ND Needleleaved deciduous shrubs [none]
SHRUBS-NE Needleleaved evergreen shrubs [none]
WATER_INLAND Inland Water [none]
SNOWICE Permanent snow and ice [none]
TREES-BD Broadleaved deciduous trees [none]
TREES-BE Broadleaved evergreen trees [none]
TREES-ND Needleleaved deciduous trees [none]
TREES-NE Needleleaved evergreen trees [none]
LAND Land [none]
WATER_OCEAN Oceanic water [none]

Full variable metadata#

WATER#

Field Value
_Unsigned false
description Percentage cover of surface water (ocean and permanent inland water bodies) in the 300 m pixel.
long_name Water
orig_data_type uint8
fill_value 65535
size 243544320000
shape 29, 64800, 129600
chunk_sizes 1, 2025, 2025
file_chunk_sizes 1, 2025, 2025
data_type uint16
dimensions time, lat, lon
file_dimensions time, lat, lon

BARE#

Field Value
_Unsigned false
long_name Bare
description Percentage cover of bare soil in the 300 m pixel.
orig_data_type uint8
fill_value 65535
size 243544320000
shape 29, 64800, 129600
chunk_sizes 1, 2025, 2025
file_chunk_sizes 1, 2025, 2025
data_type uint16
dimensions time, lat, lon
file_dimensions time, lat, lon

BUILT#

Field Value
_Unsigned false
long_name Built
description Percentage cover of built (artificial impervious area, e.g., buildings) in the 300 m pixel.
orig_data_type uint8
fill_value 65535
size 243544320000
shape 29, 64800, 129600
chunk_sizes 1, 2025, 2025
file_chunk_sizes 1, 2025, 2025
data_type uint16
dimensions time, lat, lon
file_dimensions time, lat, lon

GRASS-MAN#

Field Value
_Unsigned false
long_name Managed grasses
description Percentage cover of managed grasses (i.e., herbaceous crops) in the 300 m pixel.
orig_data_type uint8
fill_value 65535
size 243544320000
shape 29, 64800, 129600
chunk_sizes 1, 2025, 2025
file_chunk_sizes 1, 2025, 2025
data_type uint16
dimensions time, lat, lon
file_dimensions time, lat, lon

GRASS-NAT#

Field Value
_Unsigned false
long_name Natural grasses
description Percentage cover of natural grasses in the 300 m pixel.
orig_data_type uint8
fill_value 65535
size 243544320000
shape 29, 64800, 129600
chunk_sizes 1, 2025, 2025
file_chunk_sizes 1, 2025, 2025
data_type uint16
dimensions time, lat, lon
file_dimensions time, lat, lon

SHRUBS-BD#

Field Value
_Unsigned false
long_name Broadleaved deciduous shrubs
description Percentage cover of broadleaved deciduous shrubs in the 300 m pixel.
orig_data_type uint8
fill_value 65535
size 243544320000
shape 29, 64800, 129600
chunk_sizes 1, 2025, 2025
file_chunk_sizes 1, 2025, 2025
data_type uint16
dimensions time, lat, lon
file_dimensions time, lat, lon

SHRUBS-BE#

Field Value
_Unsigned false
long_name Broadleaved evergreen shrubs
description Percentage cover of broadleaved evergreen shrubs in the 300 m pixel.
orig_data_type uint8
fill_value 65535
size 243544320000
shape 29, 64800, 129600
chunk_sizes 1, 2025, 2025
file_chunk_sizes 1, 2025, 2025
data_type uint16
dimensions time, lat, lon
file_dimensions time, lat, lon

SHRUBS-ND#

Field Value
_Unsigned false
long_name Needleleaved deciduous shrubs
description Percentage cover of needleleaved deciduous shrubs in the 300 m pixel.
orig_data_type uint8
fill_value 65535
size 243544320000
shape 29, 64800, 129600
chunk_sizes 1, 2025, 2025
file_chunk_sizes 1, 2025, 2025
data_type uint16
dimensions time, lat, lon
file_dimensions time, lat, lon

SHRUBS-NE#

Field Value
_Unsigned false
description Percentage cover of needleleaved evergreen shrubs in the 300 m pixel.
long_name Needleleaved evergreen shrubs
orig_data_type uint8
fill_value 65535
size 243544320000
shape 29, 64800, 129600
chunk_sizes 1, 2025, 2025
file_chunk_sizes 1, 2025, 2025
data_type uint16
dimensions time, lat, lon
file_dimensions time, lat, lon

WATER_INLAND#

Field Value
_Unsigned false
long_name Inland Water
description Percentage cover of permanent inland water bodies in the 300 m pixel. Excludes ocean (i.e., ocean pixels are set to 0% cover in this file).
orig_data_type uint8
fill_value 65535
size 243544320000
shape 29, 64800, 129600
chunk_sizes 1, 2025, 2025
file_chunk_sizes 1, 2025, 2025
data_type uint16
dimensions time, lat, lon
file_dimensions time, lat, lon

SNOWICE#

Field Value
_Unsigned false
long_name Permanent snow and ice
description Percentage cover permanent snow and ice in the 300 m pixel.
orig_data_type uint8
fill_value 65535
size 243544320000
shape 29, 64800, 129600
chunk_sizes 1, 2025, 2025
file_chunk_sizes 1, 2025, 2025
data_type uint16
dimensions time, lat, lon
file_dimensions time, lat, lon

TREES-BD#

Field Value
_Unsigned false
long_name Broadleaved deciduous trees
description Percentage cover of broadleaved deciduous trees in the 300 m pixel.
orig_data_type uint8
fill_value 65535
size 243544320000
shape 29, 64800, 129600
chunk_sizes 1, 2025, 2025
file_chunk_sizes 1, 2025, 2025
data_type uint16
dimensions time, lat, lon
file_dimensions time, lat, lon

TREES-BE#

Field Value
_Unsigned false
long_name Broadleaved evergreen trees
description Percentage cover of broadleaved evergreen trees in the 300 m pixel.
orig_data_type uint8
fill_value 65535
size 243544320000
shape 29, 64800, 129600
chunk_sizes 1, 2025, 2025
file_chunk_sizes 1, 2025, 2025
data_type uint16
dimensions time, lat, lon
file_dimensions time, lat, lon

TREES-ND#

Field Value
_Unsigned false
long_name Needleleaved deciduous trees
description Percentage cover of needleleaved deciduous trees in the 300 m pixel.
orig_data_type uint8
fill_value 65535
size 243544320000
shape 29, 64800, 129600
chunk_sizes 1, 2025, 2025
file_chunk_sizes 1, 2025, 2025
data_type uint16
dimensions time, lat, lon
file_dimensions time, lat, lon

TREES-NE#

Field Value
_Unsigned false
long_name Needleleaved evergreen trees
description Percentage cover of needleleaved evergreen trees in the 300 m pixel.
orig_data_type uint8
fill_value 65535
size 243544320000
shape 29, 64800, 129600
chunk_sizes 1, 2025, 2025
file_chunk_sizes 1, 2025, 2025
data_type uint16
dimensions time, lat, lon
file_dimensions time, lat, lon

LAND#

Field Value
_Unsigned false
long_name Land
description Percentage cover of land(no ocean and permanent inland water bodies) in the 300 m pixel.
orig_data_type uint8
fill_value 65535
size 243544320000
shape 29, 64800, 129600
chunk_sizes 1, 2025, 2025
file_chunk_sizes 1, 2025, 2025
data_type uint16
dimensions time, lat, lon
file_dimensions time, lat, lon

WATER_OCEAN#

Field Value
_Unsigned false
long_name Oceanic water
description Percentage cover of ocean in the 300 m pixel. Excludes inland water (i.e., inland water pixels are set to 0% cover in this file).
orig_data_type uint8
fill_value 65535
size 243544320000
shape 29, 64800, 129600
chunk_sizes 1, 2025, 2025
file_chunk_sizes 1, 2025, 2025
data_type uint16
dimensions time, lat, lon
file_dimensions time, lat, lon

Full dataset metadata#

Field Value
title ESA Land Cover Climate Change Initiative (Land_Cover_cci): Global Plant Functional Types (PFT) Dataset, v2.0.8
project Medium Resolution Land Cover - Climate Change Initiative - European Space Agency
references https://maps.elie.ucl.ac.be/CCI/viewer/download.php, https://climate.esa.int/fr/projects/land-cover/about/, https://catalogue.ceda.ac.uk/uuid/26a0f46c95ee4c29b5c650b129aab788
source ESA CCI land cover maps, auxiliary derived satellite data products
history lc-classification-1.0,pft-classification-1.0,lc-user-tools-4.6
product_version 2-0-8
ecv LC
institute Universite Catholique de Louvain
processing_level L4
product_string Map
data_type PFT
sensor_id Unspecified
platform_id Unspecified
abstract This dataset contains Global Plant Functional Types (PFT) data, from the ESA Medium Resolution Land Cover (MRLC) Climate Change Initiative project. The data provides yearly data, and initially covers the time period from 1992 to 2020. It is anticipated that the dataset will be updated annually going forward. The PFT v2.0.8 global dataset has 14 layers, each describing the percentage cover (0-100%) of a plant functional type at a spatial resolution of 300 m: broadleaved evergreen trees, broadleaved deciduous trees, needleleaved evergreen trees, needleleaved deciduous trees, broadleaved evergreen shrubs, broadleaved deciduous shrubs, needleleaved evergreen shrubs, needleleaved deciduous shrubs, natural grasses, herbaceous cropland (i.e., managed grasses), built, water, bare areas, and snow and ice. "Plant Functional Types” (PFTs) refer to globally representative and similarly behaving plant types. PFTs can be related to physiognomy and phenology, climate (which defines the geographical ranges in which a plant type can grow and reproduce under natural conditions, and physiological activity (e.g., C3/C4 photosynthetic pathways). All terrestrial zones of the Earth between the parallels 90°N and 90°S are covered. The PFT dataset has a regular latitude-longitude grid with a grid spacing of 0.002777777777778°, corresponding to ~300 m at the equator and ~200 m in the midlatitudes. The Coordinate Reference System used for the global land cover database is a geographic coordinate system (GCS) based on the World Geodetic System 84 (WGS84) reference ellipsoid. The plant functional type (PFT) distribution was created by combining auxiliary data products with the CCI MRLC map series. The LC classification provides the broad characteristics of the 300 m pixel, including the expected vegetation form(s) (tree, shrub, grass) and/or abiotic land type(s) (water, bare area, snow and ice, built-up) in the pixel. For some classes, the class legend specifies an expected range for the fractional covers of the contributing PFTs and broadly differentiates between natural and cultivated vegetation. We used a quantitative, globally consistent method that fuses the 300-metre MRLC product with a suite of existing high-resolution datasets to develop spatially explicit annual maps of PFT fractional composition at 300 metres. The new PFT product exhibits intraclass spatial variability in PFT fractional cover at the 300-metre pixel level and is complementary to the MRLC maps since the derived PFT fractions maintain consistency with the original LC class legend. This dataset was generated to reduce the cross-walking component of uncertainty by adding spatial variability to the PFT composition within a LC class. This work moved beyond fine-tuning the cross-walking approach for specific LC classes or regions and, instead, separately quantifies the PFT fractional composition for each 300 m pixel globally. The result is a dataset representing the cover fractions of 14 PFTs at 300 m for each year within the time range, consistent with the CCI MRLC LC maps for the corresponding year. This study was carried out with the continued support of the European Space Agency Climate Change Initiative under the contract ESA/No.4000126564 Land_Cover_cci.
publication_date 2023-01-26T15:44:40
uuid 26a0f46c95ee4c29b5c650b129aab788
catalog_url https://catalogue.ceda.ac.uk/uuid/26a0f46c95ee4c29b5c650b129aab788
cci_project LC