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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 to fortnightly 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 et al., 2017 (in prep.).

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PANGAEA - Publishing Network for Geoscientific & Environmental Data  

Autor(es)

Truckenbrodt, Sina C -  Baade, Jussi - 

Id.: 69764854

Idioma: inglés  - 

Versión: 1.0

Estado: Final

Tipo:  application/zip, 13 datasets - 

Palabras clave'Chl' determination -  'FVC' determination -  'PAI' determination -  'Plant h' determination -  'PSM' determination -  ACF -  Aerosol optical thickness at 340 nm -  Aerosol optical thickness at 675 nm -  Aerosol optical thickness at 870 nm -  Aerosol optical thickness at 936 nm -  Altitude -  ALTITUDE -  Altitude, reference -  Alt ref -  Analytical method -  AOT_340 -  AOT_675 -  AOT_870 -  AOT_936 -  Apparent clumping Factor -  Application of the EO -  LDAS Prototype and Data Base to Prepare Sentinel -  2 Assimilation -  Area -  Awn l -  Awn length -  Awn length determination -  BBCH key -  Maximum growth state of plants on ESU -  Minimum growth state of plants on ESU -  Bias -  Bias of FVC [%] (fractional vegetation cover) -  derived from automatic pixel classification -  Bias of the PSM [%] (proportion of senescent material) -  Biom above gr/acreage -  Biomass, above ground per acreage -  Biomass, dry mass above ground -  Biom d above gr -  Calculated from 'Bias (FVC)' -  Calculated from 'BiasPSM' [%] -  Calculated from 'Depth soil', soils ,Dry m' and ,Wet m' -  Calculated from 'Leaf dry m' and leaf area 'Area -  Calculated from 'Leaf fresh m', 'Leaf dry m' and leaf area 'Area' -  Calculated from soils, Dry m' and ,Wet m' -  Calibration of chlorophyll meter measurements based on UV -  VIS spectrometry -  Camera orientation during acquisition of photos for determination of CanEye PAI -  Camera position during acquisition of nadir photos -  see further details -  Parameter metadata description -  Chl -  Chl a -  Chl a+b -  Chl b -  Chlorophyll a -  Chlorophyll a+b -  Chlorophyll b -  Chlorophyll content -  Chlorophyll meter -  Classification of phenological development after Meier 2001 -  Cloud cov -  Cloud coverage -  Clouds, occurrence -  Clouds close to sun -  Clouds occurr -  Column of water vapor -  Comment -  Completely clouds covered -  Counted -  CWV -  Data courtesy -  Geratal Agrar GmbH & Co. KG Andisleben -  Date/Time -  DATE/TIME -  Date/time end -  Date/time start -  Date and end time of ESU -  wide sampling with LAI2200 (#43 -  #49) -  Date and end time of measurements on ESU -  Date and starting time of ESU -  Date and starting time of measurements on ESU -  Dense haze -  DEPTH, soil -  Depth soil -  Derivation with CAN -  EYE V6.313 software from digital hemispherical photos -  DHHN92 -  German state height reference system -  reference level -  Amsterdam -  Differential Global Navigation Satellite System, virtual reference station -  Differential Global Navigation Satellite System (dGNSS), real time kinematic -  Direct solar irradiance at 340 nm -  Direct solar irradiance at 440 nm -  Direct solar irradiance at 675 nm -  Direct solar irradiance at 870 nm -  Direct solar irradiance at 936 nm -  Dry m -  Dry mass -  Dry mass of leaves sampled for determination of 'leaf dry mat' and 'leaf water' -  E 340 nm -  E 440 nm -  E 675 nm -  E 870 nm -  E 936 nm -  Ear -  Maximum inclination (ESU) -  Minimum inclination (ESU) -  Mode inclination (ESU) -  EO -  LDAS -  App -  Equivalent leaf water -  ESU -  Mean foliage tilt angle -  Number of readings taken with LAI2200 -  Standard error of mean foliage tilt angle -  Standard error of PAI -  original unit = m*2/m*2 -  true CanEye PAI -  true LAI2200 PAI -  True PAI -  Event -  Field estimate -  Field estimated -  File name -  File size -  File type -  Folding ruler -  FoS -  Fractional vegetation cover -  Fraction of sky -  Fresh mass of leaves sampled for determination of 'leaf water' -  Fruit yield per acreage -  Fr yield/acreage -  FVC -  Gravimetric analysis -  Gravimetric analysis (oven -  dried at 105°C) -  dried at 52°C) -  Gravimetric analysis and extrapolation -  transfer function -  HAE transformed with German Combined QuasiGeoid 2011 grid (GCG2011) -  Harvest and gravimetric analysis -  Haze, occurrence -  Haze occurr -  Image Acquisition date -  Incl -  Inclination -  LAI2200 -  Latitude -  LATITUDE -  Leaf dry mat -  Leaf dry matter -  Leaf sampling -  Leaf water -  Location -  Location of leaf investigated for 'Chl a' -  Location of leaf investigated for 'Chl a+b' -  Location of leaf investigated for 'Chl b' -  Location of leaf investigated with chlorophyll meter -  Longitude -  LONGITUDE -  Mass -  Max -  Maximum -  Mean -  Mean, statistical -  Mean of 'Bias FVC' [%] -  obtained for a certain Species and ESU -  Mean of 'Bias PSM' -  Medium haze -  Method -  Method to determine PAI (#37) -  Method to determine PAI ESU (#37) -  Min -  Minimum -  Name -  Name of elementary sampling unit (ESU), that represents a square with a diagonal length of 24m -  ESU comprises five secondary sampling points (SSPs) -  Name of ESU (elementary sampling unit), that represents a square with a diagonal length of 24m -  Names of the images that were selected for the validation of classification results that were used for the determination of FVC and PSM -  No -  No clouds -  No haze -  No pix -  Number -  Number of leaves sampled for determination of 'leaf dry mat' and 'leaf water' -  Number of pixels -  of sampling, LAI2200 at SSP00 -  of sampling, LAI2200 at SSP08 -  of sampling, LAI2200 at SSP12 -  of sampling, LAI2200 at SSP16 -  of sampling, LAI2200 at SSP24 -  of soil sampling -  Oktas -  Optical airm -  Optical airmass -  Orientation -  PAI -  PAI acquired with LAI2200 -  data gaps filled with transformed 'PAI CanEye (ESU)' -  PAI e -  Pixels classified as green and senescent vegetation -  Pixels classified as senescent vegetation -  Pixels validated per image -  Plant area index -  Plant area index, error -  Plant h -  Plant height -  Position -  Proportion of senescent material -  PSM -  QF Chl -  Quality flag, chlorophyll -  ref -  GV, class -  GV -  Number of validated pixels assigned (ref) to and classified (class) as green vegetation (GV) -  S -  Number of validated pixels assigned (ref) to green vegetation (GV) and classified (class) as soil (S) -  SV -  Number of validated pixels assigned (ref) to green vegetation (GV) and classified (class) as senescent vegetation (SV) -  S, class -  Number of validated pixels assigned (ref) to soil (S) and classified (class) as green vegetation (GV) -  Number of validated pixels assigned (ref) to and classified (class) as soil (S) -  Number of validated pixels assigned (ref) to soil (S) and classified (class) as senescent vegetation (SV) -  SV, class -  Number of validated pixels assigned (ref) to senescent vegetation (SV) and classified (class) as green vegetation (GV) -  Number of validated pixels assigned (ref) to senescent vegetation (SV) and classified (class) as soil (S) -  Number of validated pixels assigned (ref) to and classified (class) as senescent vegetation (SV) -  Reference pixels for green and senescent vegetation -  Reference pixels for senescent vegetation -  Sampled leaf area for determination of 'leaf dry mat' and 'leaf water' -  Sample ID -  Sampling ring -  See further details -  Soil moisture -  Soil moisture determined with the ML2x sensor -  Soil moisture sensor, Delta -  T Devices, ThetaProbe ML2x -  Soil sample -  Soil sampling location on acreages cultivated with potato -  Solar zenith angle -  Species -  Species cultivated in growing season -  SPP08 -  QF Chl a+b -  SPP12 -  QF Chl b -  SSP00 -  0 -  6 cm below soil surface -  Estimated gravimetric soil moisture with reference to the wet mass -  Estimated volumetric soil moisture with reference to the bulk volume -  QF Chl a -  Relative amount of leaf chlorophyll at SSP00 -  Standard error of 'PAI' -  Width of dry cracks (maximum) in the surrounding of the ML2x -  sensor sampling location -  SSP024 -  Relative amount of leaf chlorophyll at SSP24 -  SSP08 -  Relative amount of leaf chlorophyll at SSP08 -  SSP12 -  Dry mass of soil sample -  Gravimetric soil moisture with reference to the wet mass of soil sample -  Maximum sampling depth for the gravimetric determination of soil moisture -  Relative amount of leaf chlorophyll at SSP12 -  Volumetric soil moisture with reference to the bulk volume (sampling ring) -  Wet mass of soil sample -  SSP16 -  Relative amount of leaf chlorophyll at SSP16 -  SSP24 -  Standard deviation -  Standard deviation of 'Bias FVC' [%] -  Standard deviation of 'Bias PSM' -  Standard error -  Statistical evaluation of classified photos of harvested leaves -  Statistical evaluation of pixel -  based hierarchical classification of nadir photo -  Std dev -  Std e -  Sugar beet -  AGB comprises all parts of the plant above the ground except turnip -  Sun photometer, Microtops II -  Sunphotometer measurements -  SZA -  Thin clouds -  Thin haze -  Tilt -  Tilt angle -  time of sunphotometer measurement (#182 -  #204) -  Transformed 'Volt outp' -  calibrated based on gravimetric measurements -  Transformed differential Global Navigation Satellite System, real time kinematic -  Transformed differential Global Navigation Satellite System, virt. ref. station -  Uniform resource locator/link to file -  Uniform resource locator/link to image -  URL file -  URL image -  UTM32U -  Universal Transverse Mercator zone 32U -  UTM east -  UTM Easting, Universal Transverse Mercator -  UTM north -  UTM Northing, Universal Transverse Mercator -  UTM Zone -  UTM Zone, Universal Transverse Mercator -  Voltage output -  Volt outp -  Wet m -  Wet mass -  Width, maximum -  W max - 

Cobertura:  MEDIAN LATITUDE: 51.092600 * MEDIAN LONGITUDE: 10.916991 * SOUTH-BOUND LATITUDE: 51.070600 * WEST-BOUND LONGITUDE: 10.895750 * NORTH-BOUND LATITUDE: 51.108160 * EAST-BOUND LONGITUDE: 10.930440 * DATE/TIME START: 2013-04-20T00:00:00 * DATE/TIME END: 2014-10-29T11:11:00 - 

Tipo de recurso: Dataset  - 

Tipo de Interactividad: Expositivo

Nivel de Interactividad: muy bajo

Audiencia: Estudiante  -  Profesor  -  Autor  - 

Estructura: Atomic

Coste: no

Copyright: sí

: CC-BY: Creative Commons Attribution 3.0 Unported

Formatos:  application/zip, 13 datasets - 

Requerimientos técnicos:  Browser: Any - 

Relación: [IsBasedOn] Supplement to: Truckenbrodt, Sina C; Schmullius, Christiane C (in prep.): Evolution of soil and plant parameters on the agricultural Gebesee test site (central Germany) in 2013 and 2014: a comprehensive database for the set-up and validation of the EO-LDAS.
[References] Description of investigated parameters (URI: http://store.pangaea.de/Publications/Truckenbrodt_Baade-2017/Parameter_description.pdf)
[References] Metadata on the cultivars and investigated fields (URI: http://store.pangaea.de/Publications/Truckenbrodt_Baade-2017/Metadata_cultivation_fields.pdf)

Fecha de contribución: 20-may-2017

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