Medium Resolution Vegetation Phenology and Productivity: Plant phenology index (raster 500m), Oct. 2022

This metadata refers to the Plant Phenology Index (PPI) dataset, one of the near real-time (NRT) Vegetation Index products of the pan-European Medium Resolution Vegetation Phenology and Productivity (MR-VPP), component of the Copernicus Land Monitoring Service (CLMS).

The Plant Phenology Index (PPI) is a physically based vegetation index for improved monitoring of plant phenology, that is developed from a simplified solution to the radiative transfer equation by Jin and Eklundh (2014). PPI has a linear relationship with green leaf area index, a strong correlation with gross primary productivity, and is capable of disentangling remotely sensed plant phenology from snow seasonality. It is reported to be superior to other indices for spring phenology retrieval over the northern latitudes and for GPP estimation in African semi-arid ecosystems. Comparison of satellite-derived PPI to ground observations of plant phenology and gross primary productivity (GPP) shows strong similarity of temporal patterns over several Nordic boreal forest sites. Further information is available in the Product User Manual: https://land.copernicus.eu/user-corner/technical-library/clms_mrvpp_pum_d1-0.pdf

The PPI time series dataset is made available as raster files with 500 x 500m resolution, in ETRS89-LAEA projection corresponding to the MCD43 tiling grid, for those tiles that cover the EEA38 countries and the United Kingdom and for the period from January 2000 until today.

The full on-line access to open and free data for this resource will be made available by the end of 2022. Until then the data will be made available 'on-demand' by filling in the form at: https://land.copernicus.eu/contact-form

Simple

Date ( Creation )
2022-06-08
Date ( Publication )
2022-10-10
Edition
01.00
Identifier
copernicus_r_3035_500_m_mrvpp-ppi_p_2000-now_v01_r00

Point of contact

No information provided.

Point of contact

No information provided.

Point of contact

No information provided.

Point of contact

No information provided.
Maintenance and update frequency
Annually
GEMET - INSPIRE themes, version 1.0 ( Theme )
  • Habitats and biotopes
  • Orthoimagery
  • Environmental monitoring facilities
Keywords
Continents, countries, sea regions of the world. ( Place )
  • EEA38 (from 2020)
  • United Kingdom
Keywords
GEMET ( Theme )
  • plant ecology
  • plant production
  • productivity
  • land
  • remote sensing
  • index
  • vegetation
Spatial scope ( Theme )
Temporal resolution ( Temporal )
  • Annually
EEA topics ( Theme )
  • Agriculture and food
  • Land use
  • Forests and forestry
Access constraints
Other restrictions
Other constraints
no limitations to public access
Use constraints
Other restrictions
Other constraints

Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.

Free, full and open access to this data set is made on the conditions that:

1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.

2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.

3. Where that data or information has been adapted or modified, the user shall clearly state this.

4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.
Spatial representation type
Grid
Distance
500  m
Metadata language
en
Character set
UTF8
Topic category
  • Environment
  • Imagery base maps earth cover
  • Climatology, meteorology, atmosphere
N
S
E
W
thumbnail


Begin date
2000-01-01
Unique resource identifier
EPSG:3035
Distribution format
  • GeoTIFF ( )

OnLine resource
User manual ( WWW:LINK-1.0-http--link )
Hierarchy level
Dataset

Conformance result

Date ( Publication )
2010-12-08
Explanation
See the referenced specification
Statement
Vegetation Phenology and Productivity parameters (VPP) are based on Plant Phenology Index (PPI) seasonal trajectories and are yearly produced for two seasons using the Timesat software. The Plant Phenology Index (PPI) is a physically based vegetation index for improved monitoring of plant phenology, that is developed from a simplified solution to the radiative transfer equation by Jin and Eklundh (2014). PPI has a linear relationship with green leaf area index, a strong correlation with gross primary productivity, and is capable of disentangling remotely sensed plant phenology from snow seasonality. It is reported to be superior to other indices for spring phenology retrieval over the northern latitudes and for GPP estimation in African semi-arid ecosystems.
File identifier
de0bc1e4-5b32-44fa-9690-1eb9e64aff9d XML
Metadata language
en
Character set
UTF8
Hierarchy level
Dataset
Date stamp
2023-02-20T11:09:36.924Z
Metadata standard name
ISO 19115/19139
Metadata standard version
1.0
Point of contact
  European Environment Agency
Kongens Nytorv 6 , Copenhagen , K , 1050 , Denmark
 
 

Overviews

overview

Spatial extent

N
S
E
W
thumbnail


Keywords

EEA topics
Agriculture and food Forests and forestry Land use
GEMET
index land plant ecology plant production productivity remote sensing vegetation
GEMET - INSPIRE themes, version 1.0
Environmental monitoring facilities Habitats and biotopes Orthoimagery
Spatial scope
European

Provided by

Associated resources

Not available