Gebesee Database for the enhancement of crop monitoring applications: evolution of plant physiology, soil moisture, surface reflectance and atmospheric conditions on the agricultural Gebesee test site (central Germany) in 2013 and 2014
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| Autores principales: | , |
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| Formato: | Dataset Open Access |
| Lenguaje: | en |
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PANGAEA
2017
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| _version_ | 1867171370824105984 |
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| author | Truckenbrodt, Sina C Baade, Jussi |
| author_facet | Truckenbrodt, Sina C Baade, Jussi |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | Ground reference data are a prerequisite for the calibration, update and validation of land data assimilation systems facilitating large-scale crop monitoring based on Earth Observation data. Here, we provide a comprehensive database which was elaborated to test and validate the recently developed Earth Observation Land Data Assimilation System (EO-LDAS). In situ data was collected for seven crop types cultivated on the agricultural Gebesee test site (central Germany) in 2013 and 2014, i.e., winter barley, winter wheat, spring wheat, durum, winter rape, potato and sugar beet. The database contains information on the evolution of biophysical and biochemical plant parameters, phenology, leaf structure, soil moisture, atmospheric states and illumination conditions. In addition, surface reflectance was recorded with a field spectrometer. Data was collected with an approximately weekly resolution throughout the growing season. In addition, it was attempted to schedule days of field work according to the acquisition plans of RapidEye, SPOT5, Landsat 7 and 8, and on days with a high probability of low cloud coverage. Data was collected on up to three elementary sampling units (ESUs) per acreage. ESUs represent squares with a diagonal length of 24 m and consist of five secondary sampling points (SSPs). This experimental design permits an assessment of spatio-temporal variations of the investigated parameters. Coordinates of survey sites, nearby ground control points (GCPs) and check points (CPs) were recorded with a differential Global Navigation Satellite System (dGNSS) which supports accurate geo-referencing of satellite images. The experimental design of the field campaigns, methods employed in the determination of all parameters, and meteorological conditions in the measurement period are described in detail in Truckenbrodt & Schmullius, 2017. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_874251 |
| institution | PANGAEA |
| language | en |
| publishDate | 2017 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Gebesee Database for the enhancement of crop monitoring applications: evolution of plant physiology, soil moisture, surface reflectance and atmospheric conditions on the agricultural Gebesee test site (central Germany) in 2013 and 2014 Truckenbrodt, Sina C Baade, Jussi Application of the EO-LDAS Prototype and Data Base to Prepare Sentinel-2 Assimilation; EO-LDAS-App Ground reference data are a prerequisite for the calibration, update and validation of land data assimilation systems facilitating large-scale crop monitoring based on Earth Observation data. Here, we provide a comprehensive database which was elaborated to test and validate the recently developed Earth Observation Land Data Assimilation System (EO-LDAS). In situ data was collected for seven crop types cultivated on the agricultural Gebesee test site (central Germany) in 2013 and 2014, i.e., winter barley, winter wheat, spring wheat, durum, winter rape, potato and sugar beet. The database contains information on the evolution of biophysical and biochemical plant parameters, phenology, leaf structure, soil moisture, atmospheric states and illumination conditions. In addition, surface reflectance was recorded with a field spectrometer. Data was collected with an approximately weekly resolution throughout the growing season. In addition, it was attempted to schedule days of field work according to the acquisition plans of RapidEye, SPOT5, Landsat 7 and 8, and on days with a high probability of low cloud coverage. Data was collected on up to three elementary sampling units (ESUs) per acreage. ESUs represent squares with a diagonal length of 24 m and consist of five secondary sampling points (SSPs). This experimental design permits an assessment of spatio-temporal variations of the investigated parameters. Coordinates of survey sites, nearby ground control points (GCPs) and check points (CPs) were recorded with a differential Global Navigation Satellite System (dGNSS) which supports accurate geo-referencing of satellite images. The experimental design of the field campaigns, methods employed in the determination of all parameters, and meteorological conditions in the measurement period are described in detail in Truckenbrodt & Schmullius, 2017. |
| title | Gebesee Database for the enhancement of crop monitoring applications: evolution of plant physiology, soil moisture, surface reflectance and atmospheric conditions on the agricultural Gebesee test site (central Germany) in 2013 and 2014 |
| topic | Application of the EO-LDAS Prototype and Data Base to Prepare Sentinel-2 Assimilation; EO-LDAS-App |
| url | https://doi.org/10.1594/PANGAEA.874251 |