HyLand consists of three sub-projects (SP), "Soil", "Crop" and "Yield".

In the SP "Soil" field spectra will be measured and soil samples will be taken during field campaigns. The soil samples will be chemically and physically analyzed and reflection measurements will be realized in laboratory. The quantification of relevant soil parameters from laboratory reflection spectra will be made by using different empirical-statistical approaches. Later a quantification of relevant soil parameters from hyperspectral remote sensing data should follow. Additionally in SP "Soil" methods will be developed to detect and remove effects of disturbances (e.g. stubbles) on the spectral signature of soils. The validation of these approaches shall be conducted with terrestrial laserscanning (TLS). Finally the developed models will be assigned on simulated EnMAP-spectra.

The SP "Crop" develops multivariate statistical models based on spectral signatures and corresponding basic nutrients to derive nutrient supply rates from hyperspectral imagery. Reference data on nutritional statuses of soils and crop biomass will be collected and surveyed. Non-linear data modeling techniques like PLSR, SVM or MARS will be implemented to assess the nutritional statuses. Inter-correlations between the supply states of different nutrients will be investigated to detect and avoid pseudo-correlations within the spectral models. The sub-project also analysis the different nutritional soil statuses and their effects on the nutritional states of the crop biomass. The spectral models will be validated and used to derive nutrient state maps from hyperspectral airborne data and simulated EnMAP spectra.

One of the first tasks of the SP "Yield" is the adaption of the yield model APSIM (Agricultural Production Systems sIMulator) to the conditions of the projects test sites. Furthermore, field campaigns will be realized for spectral data collection (Penta-Spec, field spectroradiometer) and sampling of crops. During the whole project duration yield projection will take place to acquire reference data for yield estimation. Spatial datasets for crop heights and modeling of coverage and biomass will be derived by TLS-data. Soil and crop parameters will be assessed from spectral data by inverting radiative transfer modeling. Subsequently, coupling of parameters derived from simulated EnMAP data with the yield model APSIM will be enabled. Finally yield model estimates will be validated.

The developed models will be implemented in the EnMAP Box. To achieve the project aims and to make use of synergy effects HyLand cooperates with two other EnMAP preparation projects.

  • Joint project" EnMAP BMP" - University Trier and University Bonn (->)
  • EnMAP project " Methoden zur Ableitung des funktionellen Zusammenhanges ökosystemarer Prozesse in hyperspektralen Daten unterschiedlicher räumlicher Auflösung " - Helmholtz Centre for Environmental Research (UFZ), Leipzig

Duration: 01/11/2010 - 31/10/2013

Funding: Federal Ministry of Economics and Technology (BMWi) / German Aerospace Center (DLR)