Published March 23, 2023 | Version v1
Dataset Open

TERENO Harz/Central German Lowland LTER, Annual Phenology, 2019

Creators

Description

Phenology metrics, green-up, maturity, senescence generated from Sentinel-2 Level-2A time series of the year 2019.

Methods

The phenology product is generated from a time series (1 year). The algorithm uses Normalised Difference Vegetation Index (NDVI).

Technical info

The final output consists of raster layers in GeoTIFF format with the following values per pixel: SOS : start of the season, expressed as Day Of the Year (DOY) SOSV: Vegetation Index value at SOS POS: peak of the season, expressed as Day Of the Year (DOY) PSOV: Vegetation Index value at POS EOS: end of season, expressed as Day Of the Year (DOY) EOSV: Vegetation Index value at EOS

Files

TERENOHarzCentralGermanLowlandLTER_Annual_Phenology_2019.zip

Files (894.7 MB)

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Checksum: md5:49f933a1bc092caa6d02040b76b67924

PID: http://hdl.handle.net/11304/380faf1c-e168-4802-a963-c3bfff089516
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Additional details

Identifiers

b2rec
399c0653601a46488082e0f5edafc0df

LTER metadata

Metadata URL
https://deims.org/d6ce4453-17a8-49d8-9c02-caae8b6629a6