eLTER Digital Asset Register
  • eLTER Digital Asset Register
  • Search
  • Help
  • Login

Filters

Data level

  • Level 0 (27)

Site

  • TERENO Harz/Central German Lowland LTER - Germany (27)

Resource type

  • Signpost (27)
27 records found
Signpost
Available
PUBLISHED
TERENO Harz Central German Lowland - Phenology SOSD (2019)
Start of season date (DOY). The phenology product was generated from Sentinel-2 Level-2A from Normalized Difference Vegetation Index (NDVI) time-series of year 2019. The day of year (DOY) goes from Jan 1st = 1 to Dec 31st = 365 (366 in leap years).
Signpost
Available
PUBLISHED
TERENO Harz Central German - Phenology StdintraCvmask (2019)
Abstract: Phenological Annual Summary Statistics based on Ecosystem Functional Attribute framework. The result are based on S2 interpolated with a bayesian implementation of Harmonic Model. Methods: Details of the method can be found in Vicario S, Adamo M, Alcaraz-Segura...
Signpost
Available
PUBLISHED
TERENO Harz Central German - Phenology MeanCvmask (2020)
Abstract: Phenological Annual Summary Statistics based on Ecosystem Functional Attribute framework. The result are based on S2 interpolated with a bayesian implementation of Harmonic Model. Methods: Details of the method can be found in Vicario S, Adamo M, Alcaraz-Segura...
Signpost
Available
PUBLISHED
TERENO Harz Central German Lowland - Hydroperiod (2017 - 2018)
The annual hydroperiod is generated from a series of inundation maps (derived from EO data) by interpolating the inundation status per pixel as follows: if a pixel is inundated at two sequential (selected) dates, then it is assumed inundated for n-days, but n/2 days...
Signpost
Available
PUBLISHED
TERENO Harz Central German Lowland - Phenology POSV (2019)
Vegetation Index value at POSD. The phenology product was generated from Sentinel-2 Level-2A from Normalized Difference Vegetation Index (NDVI) time-series of year 2020.
Signpost
Available
PUBLISHED
TERENO Harz Central German - Phenology MeanMean (2020)
Abstract: Phenological Annual Summary Statistics based on Ecosystem Functional Attribute framework. The result are based on S2 interpolated with a bayesian implementation of Harmonic Model. Methods: Details of the method can be found in Vicario S, Adamo M, Alcaraz-Segura...
Signpost
Available
PUBLISHED
TERENO Harz Central German - Phenology StdintraMean (2020)
Abstract: Phenological Annual Summary Statistics based on Ecosystem Functional Attribute framework. The result are based on S2 interpolated with a bayesian implementation of Harmonic Model. Methods: Details of the method can be found in Vicario S, Adamo M, Alcaraz-Segura...
Signpost
Available
PUBLISHED
TERENO Harz Central German - Phenology MaxposCvmask (2019)
Abstract: Phenological Annual Summary Statistics based on Ecosystem Functional Attribute framework. The result are based on S2 interpolated with a bayesian implementation of Harmonic Model. Methods: Details of the method can be found in Vicario S, Adamo M, Alcaraz-Segura...
Signpost
Available
PUBLISHED
TERENO Harz Central German Lowland - Snowcover (2019 - 2020)
Sentinel-2 Snow Cover Extent (SCE) is obtained by applying the methodology reported in https://doi.org/10.3390/rs13101957. The final output consists of 20 m resolution raster masks in GeoTIFF format with: 0, No snow; 100, Snow; 205, Cloud; 254, No Data.
Signpost
Available
PUBLISHED
TERENO Harz Central German Lowland - Hydroperiod (2018 - 2019)
The annual hydroperiod is generated from a series of inundation maps (derived from EO data) by interpolating the inundation status per pixel as follows: if a pixel is inundated at two sequential (selected) dates, then it is assumed inundated for n-days, but n/2 days...
Signpost
Available
PUBLISHED
Harz - GPP biweekly (2019)
Abstract: Bi-weekly Gross Primary Productivity (GPP) estimated across the Harz Lowland Germany National park deciduous forest with a mixed of beech trees. The result are based on an empirical model which linearly correlate the Land Surface Water Index (LSWI) derived...
Signpost
Available
PUBLISHED
TERENO Harz Central German Lowland - Hydroperiod (2019 - 2020)
The annual hydroperiod is generated from a series of inundation maps (derived from EO data) by interpolating the inundation status per pixel as follows: if a pixel is inundated at two sequential (selected) dates, then it is assumed inundated for n-days, but n/2 days...
Signpost
Available
PUBLISHED
TERENO Harz Central German - Phenology MeanCvmask (2019)
Abstract: Phenological Annual Summary Statistics based on Ecosystem Functional Attribute framework. The result are based on S2 interpolated with a bayesian implementation of Harmonic Model. Methods: Details of the method can be found in Vicario S, Adamo M, Alcaraz-Segura...
Signpost
Available
PUBLISHED
TERENO Harz Central German Lowland - Phenology POSD (2019)
Peak of season date (DOY). The phenology product was generated from Sentinel-2 Level-2A from Normalized Difference Vegetation Index (NDVI) time-series of year 2019. The day of year (DOY) goes from Jan 1st = 1 to Dec 31st = 365 (366 in leap years).
Signpost
Available
PUBLISHED
TERENO Harz Central German - Phenology SdintermCvmask (2019-2020)
Abstract: Phenological Annual Summary Statistics based on Ecosystem Functional Attribute framework. The result are based on S2 interpolated with a bayesian implementation of Harmonic Model. Methods: Details of the method can be found in Vicario S, Adamo M, Alcaraz-Segura...
Signpost
Available
PUBLISHED
TERENO Harz Central German Lowland - Phenology EOSV (2019)
Vegetation Index value at EOSD. The phenology product was generated from Sentinel-2 Level-2A from Normalized Difference Vegetation Index (NDVI) time-series of year 2019.
Signpost
Available
PUBLISHED
TERENO Harz Central German - Phenology SdintermMean (2019-2020)
Abstract: Phenological Annual Summary Statistics based on Ecosystem Functional Attribute framework. The result are based on S2 interpolated with a bayesian implementation of Harmonic Model. Methods: Details of the method can be found in Vicario S, Adamo M, Alcaraz-Segura...
Signpost
Available
PUBLISHED
TERENO Harz Central German - Phenology MaxposCvmask (2020)
Abstract: Phenological Annual Summary Statistics based on Ecosystem Functional Attribute framework. The result are based on S2 interpolated with a bayesian implementation of Harmonic Model. Methods: Details of the method can be found in Vicario S, Adamo M, Alcaraz-Segura...
Signpost
Available
PUBLISHED
TERENO Harz Central German Lowland - Phenology EOSD (2019)
Vegetation Index value at SOSD. The phenology product was generated from Sentinel-2 Level-2A from Normalized Difference Vegetation Index (NDVI) time-series of year 2021.
Signpost
Available
PUBLISHED
Harz - GPP monthly (2019)
Abstract: Monthly Gross Primary Productivity (GPP) estimated across the Harz Lowland Germany National park deciduous forest with a mixed of beech trees. The result are based on an empirical model which linearly correlate the Land Surface Water Index (LSWI) derived from...
  • Page 1
  • Next →