Data Publications

TERENO (Northeast), Climate station Seedorf, Germany

hasData_Center_Short_Name
  • Deutsches GeoForschungsZentrum GFZ
hasDataset_Online_Resource
hasDataset_Release_Date
  • 2018
hasDataset_Title
  • TERENO (Northeast), Climate station Seedorf, Germany
hasEntry_ID
  • 10.5880/TERENO.DLR.2018.013
hasKeyword
  • terrestrial environment
  • soil moisture
  • agricultural management
  • TERENO
  • Durable Environmental Multidisciplinary Monitoring Information Network
  • DEMMIN
  • Deutsches Fernerkundungsdatenzentrum
  • Earth Observation Center
  • Nationales Bodensegment
  • TERENO Northeast
  • abiotic environment
  • agroindustry
  • in situ
  • point
  • scientific and technical information
  • soil moisture regime
hasSummary
  • The Seedorf climate station is part of an agrometeorological test site and aims at supplying environmental data for algorithm development in remote sensing and environmental modelling, with a focus on soil moisture and evapotranspiration.The site is intensively used for practical tests of remote sensing data integration in agricultural land management practices. First measurement infrastructure was installed by DLR in 1999 and instrumentation was intensified in 2011 and later as the site became part of the TERENO-NE observatory. The agrometeorological station Seedorf was installed in 2004. It is located on flat terrain, surrounded by agricultural used fields. The station is equipped with sensor for measuring the following variables: Temperature, Precipitation, RelativeHumidity, LeafWetness, WindDirection, WindSpeed, PyrgeometerCG3incoming, PyrgeometerCG3outgoing, PyranometerCM3incoming, PyranometerCM3outgoing, Soiltemperature000cm, Soiltemperature005cm, Soiltemperature010cm, Soiltemperature020cm, Soiltemperature050cm, AC_Soilmoisture010cm, AC_Soilmoisture020cm, AC_Soilmoisture040cm, AC_Soilmoisture060cm, AC_Soilmoisture080cm and AC_Soilmoisture100cm The dataset is also available through the TERENO Data Discovery Portal. The datafile will be extended once per year as more data is acquired at the stations and the metadatafile will be updated. New columns for new variables will be added as necessary. In case of changes in dta processing, which will result in changes of historical data, an new Version of this dataset will be published using a new doi. New data will be added after a delay of several months to allow manual interference with the quality control process.
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