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ESU Statistics: The visualized data represent the average conditions of all SSUs belonging to an ESU. The information is located in the center of the ESU (SSU5).
ESU Sampling Design

[min_ = minimum; max_ = maximum; median_ = median, mean_ = arithmetic mean, std_ = standard deviation]


String or Substring of the Sampling Location ESU (e.g. F1ESU1)
Type eg. 2022, 2021-06 or 2020-11-06
Filter Crop Type
Shortcut Mapping Date Field-no. Campaign-no. ESU Latitude Longitude Crop
F2ESU1 2022-04-12 2 1 1 53.87164 13.2591552 Winterwheat
F2ESU1 2022-05-03 2 2 1 53.87164 13.2591552 Winterwheat
F2ESU1 2022-06-09 2 3 1 53.87164 13.2591552 Winterwheat
F2ESU1 2022-06-28 2 4 1 53.87164 13.2591552 Winterwheat
F2ESU3 2022-04-12 2 1 3 53.867582 13.2683047 Winterwheat
F2ESU3 2022-05-03 2 2 3 53.867582 13.2683047 Winterwheat
F2ESU3 2022-06-09 2 3 3 53.867582 13.2683047 Winterwheat
F2ESU3 2022-06-28 2 4 3 53.867582 13.2683047 Winterwheat
F2ESU2 2022-04-12 2 1 2 53.869043 13.258388 Winterwheat
F2ESU2 2022-05-03 2 2 2 53.869043 13.258388 Winterwheat
F2ESU2 2022-06-09 2 3 2 53.869043 13.258388 Winterwheat
F2ESU2 2022-06-28 2 4 2 53.869043 13.258388 Winterwheat
F1ESU1 2022-04-13 1 1 1 53.8945604 13.2499103 Winterwheat
F1ESU1 2022-05-04 1 2 1 53.8945604 13.2499103 Winterwheat
F1ESU1 2022-06-07 1 3 1 53.8945604 13.2499103 Winterwheat
F1ESU1 2022-06-27 1 4 1 53.8945604 13.2499103 Winterwheat
F1ESU3 2022-04-13 1 1 3 53.8897298 13.2454408 Winterwheat
F1ESU3 2022-06-08 1 3 3 53.8897298 13.2454408 Winterwheat
F1ESU3 2022-06-27 1 4 3 53.8897298 13.2454408 Winterwheat
F1ESU2 2022-04-13 1 1 2 53.892253 13.2477485 Winterwheat
F1ESU2 2022-05-04 1 2 2 53.892253 13.2477485 Winterwheat
F1ESU2 2022-06-08 1 3 2 53.892253 13.2477485 Winterwheat
F1ESU3 2022-05-04 1 2 3 53.8897298 13.2454408 Winterwheat
F1ESU2 2022-06-27 1 4 2 53.892253 13.2477485 Winterwheat

Vegetation parameters


Fractional Vegetation Cover (FVC)

FVC refers to estimating the proportion of an area that is covered by vegetation, whereby it is not distinguished between vital, senescent and dry vegetation. The fractional vegetation cover value is estimated in percent.



Proportion of senescent material (PSM)

Vegetation components are classified in two categories: (1) living biomass and (2) senescent material. The senescent material includes all dry vegetation components at the designated area, whereby dry vegetation of the standing plants and components lying on the ground are included. PSM is defined as the proportion of senescent vegetation, which is the dry vegetation cover, related to the overall vegetation coverage as covered by the reference frame. Only the estimated value of the senescent material will be recorded.



Canopy height

Canopy height is the mean height of the highest vegetation component above the soil surface of several plants (Nakai et al., 2010).



Content of Leaf Chlorophyll (Chl)

Chl is defined as the mass of chlorophyll (in μg) per leaf area (in cm²) and will be derived from nondestructive absorbance measurements with a SPAD-502Plus (Konica Minolta, Inc.) chlorophyll meter.



Soil parameters


Soil Moisture

Soil moisture is the water that is held in the spaces between soil particles. Surface soil moisture is the water that is in the upper 10 cm of soil.



Leaf Area Index

The plant area index (PAI), i.e., the leaf area index (LAI) including ears and cornstalks (Neumann et al., 1989), is an important canopy structural parameter in radiative transfer models and retrieval models in general (Gobron, 2008). The LAI is defined as the one-sided leaf area in relation to the ground area (m3/m3). With non-destructive sampling, photosynthetic activity (e.g. Sun Scan) or the GAP fraction expressed by transmitted light in the ultraviolet spectra (e.g. LAI-2200) are measured. With the destructive vegetation sampling, more specific measurements are possible, because all plant parts (leafs, ears, cornstalks) can be measured separately in a scanner (e.g. LA3100). Here, GAP fraction in the ultraviolet spectra is measured that includes ears and cornstalks is measured (PAI). For a more accurate estimation of the LAI, laboratory values are required in order to calibrate the field measurements.


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