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Land Surface Phenology 2014-present (raster 300 m), global, yearly - version 2

Land Surface Phenology describes vegetation changes observed from satellite remote sensing and constitutes therefore an aggregate signal from heterogeneous surface conditions that may not be representative of any single plant species response. LSP indicates the timing, date of occurrence, and corresponding value of the vegetation index used, of key phases of the vegetation development cycle. In particular, phenological metrics related to the start, end of growing season, length of the season and maximum development, seasonal total and partly integrals (as productivity parameters), as well as growth and senescence rated, intra-annual coefficient of variation, etc. are provided.

Default

IdentificationAbout this resource

Alternate Identifier

0c769ab4-93a0-4254-aeaa-dd97de6c7eaa

Publication Date
2025-12-18
Title

Land Surface Phenology 2014-present (raster 300 m), global, yearly - version 2

Short Name

Land Surface Phenology 2014-present (raster 300 m)

Abstract

Land Surface Phenology describes vegetation changes observed from satellite remote sensing and constitutes therefore an aggregate signal from heterogeneous surface conditions that may not be representative of any single plant species response. LSP indicates the timing, date of occurrence, and corresponding value of the vegetation index used, of key phases of the vegetation development cycle. In particular, phenological metrics related to the start, end of growing season, length of the season and maximum development, seasonal total and partly integrals (as productivity parameters), as well as growth and senescence rated, intra-annual coefficient of variation, etc. are provided.

Dataset Language

English

 
Dataset Creator
  Copernicus Land Monitoring Service - ()

Metadata Provider
  European Environment Agency - (Point of contact)

Dataset Contact
  European Commission - (Owner)

Dataset Contact
  European Commission's Joint Research Centre - (Publisher)

Keywords (Theme)
  • Land

  • Phenology

  • Surface

Keywords (GEMET - INSPIRE themes, version 1.0)
  • Orthoimagery

Keywords (Categories)
  • Biota

  • Environment

  • Farming

  • Imagery base maps earth cover

Geographic Coverage

Geographic Description

Global

Bounding Box

West Bounding Coordinate

-180

East Bounding Coordinate

180

North Bounding Coordinate

90

South Bounding Coordinate

-90

Bounding Altitudes

Minimum
Maximum
Unit

Temporal Coverage

Range of Dates

Begin Date

2014-01-01

End Date

resourceLicensesLicense Information

Intellectual Rights

The Copernicus component is governed by Regulation (EU) No 2021/696 of the European Parliament and of the Council of 28 April 2021 establishing the Union Space Programme and the European Union Agency for the Space Programme and repealing Regulations (EU) No 912/2010, (EU) No 1285/2013 and (EU) No 377/2014 and Decision No 541/2014/EU. Within the Copernicus component, a portfolio of land monitoring activities has been delegated by the European Union to the European Environment Agency (EEA) and the DG Joint Research Centre of the European Commission.

Resource License

License Name

No limitations to public access

URL
https://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations
Acknowledgements
 

Distribution

Online

A brief description of the the content of online URL.

Copernicus Data Space Ecosystem download services

URL
https://documentation.dataspace.copernicus.eu/Data/CopernicusServices/CLMS.html

Distribution

Online

A brief description of the the content of online URL.

OGC WMTS

URL
https://documentation.dataspace.copernicus.eu/APIs/SentinelHub/OGC.html
 
 

Project

• Project

Title
Abstract

Personnel

Organization Name

Individual Name

Given Name
Surname
Position Name
 
 

Methods

• Method

Method Step

Description

The input data for the LSP estimation are global 5-day PPI time series calculated from PROBA-V and Sentinel-3/OLCI BRDF normalized top-of-canopy reflectances (TOC-r) in the red band and in the near infrared (NIR) band. The BRDF algorithm normalizes the TOC-r to the nadir viewing at 10:00AM local solar time. Besides using the red and NIR bands of TOC-r BRDF data in the Plant Phenology Index (PPI) calculation, the product uses the quality information layer which provides information on the quality of the BRDF-correction.The PPI data are fed through to TIMESAT 4.2 for smoothing, computation of phenology and productivity parameters, and derivation of quality flags. The product is based on Copernicus Sentinel-3 data (copyright governed by the Legal notice on the use of Copernicus Sentinel Data and Service Information -

https://sentinels.copernicus.eu/documents/247904/690755/Sentinel_Data_Legal_Notice

).

Citation

(2025).Land Surface Phenology 2014-present (raster 300 m), global, yearly - version 2-. European Commission's Joint Research Centre https://doi.org/10.2909/77a7f444-2715-41df-bf09-38df610589a5

 
 

Data Tables

• Data Table

Name

Physical

Data Format

Externally Defined Format

Format Name

GeoTIFF

 
 






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