Heike Gerighausen

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• Dr.
• Senior Researcher at Julius Kühn-Institut

Catch crops are intermediate crops sown between two main crop cycles. Their adoption into the cropping system has increased considerably in the last years due to its numerous benefits, in particular its potential in carbon fixation and preventing nitrogen leaching during winter. The growth period of catch crops in Germany is often marked by dense c...

Operational crop monitoring applications, including crop type mapping, condition monitoring, and yield estimation, would benefit from the ability to robustly detect and map crop phenology measures related to the crop calendar and management activities like emergence, stem elongation, and harvest timing. However, this has proven to be challenging du...

Detailed and accurate statistics on crop productivity are key to inform decision-making related to sustainable food production and supply ensuring global food security. However, annual and high-resolution crop yield data provided by official agricultural statistics are generally lacking. Earth observation (EO) imagery, geodata on meteorological and...

Soils provide habitat, regulation and utilization functions. Therefore, Germany aims to reduce soil sealing to 30 ha day $$^{-1}$$ - 1 by 2030 and to eliminate it by 2050. About 55 ha day $$^{-1}$$ - 1 of soil are damaged (average 2018–2021), but detailed information on its soil quality is lacking. This study proposes a new approach using geo-infor...

Earth observation with advanced, large-scale technologies as satellite piloted Synthetic Aperture Radar (SAR) appear essential to monitor agricultural ecosystems in near future. Radar backscatter e.g. allows insights to crop conditions, soil properties and direct mapping of vegetation growth. Precise SAR pre-processing is a substantial prerequisite...

Spatiotemporally accurate estimates of crop traits are essential for both scientific modeling and practical decision making in sustainable agricultural management. Besides efficient and concise methods to derive these traits, site- and crop-specific reference data are needed to develop and validate retrieval methods. To address this shortcoming, th...

Digital transformation is a key to turn public authorities into organisations that make decisions based on data-driven insights. The use of big geodata can enable public authorities to tackle complex sustainability issues. However, the efficient management of large amounts of geodata through implementing viable data infrastructures represents a maj...

Digitale Technologien gelten als möglicher Schlüssel zur Verknüpfung von Nachhaltigkeit, Klimaanpassung und wirtschaftlicher Effizienz in der Pflanzenproduktion. Die Heterogenität und Dezentralität des landwirtschaftlichen Systems stellt besondere Anforderungen an den Entwurf datengetriebener Lösungen: Daten entstehen lokal in landwirtschaftlichen...

Der Gehalt und die räumliche Verteilung organischen Kohlenstoffs in Böden stellen eine wesentliche Information zur Bewertung des Bodenzustandes dar. In der vorliegenden Arbeit wurde daher eine quantitative Schätzung des organischen Kohlenstoffs aus räumlich hochaufgelösten multispektralen Satellitendaten in einem landwirtschaftlich geprägten Gebiet...

Developing SDG indicators for the assessment of yield capacity, land use intensity and vulnerability of agricultural soils in Germany.

- growing status and condition of sugarbeets during growing season are important for sugarbeet processing industry to plan production - operational monitoring on parcel level is needed - status quo (e.g. field inspections) is still costly and labor intensive - Copernicus Sentinel-1 (S1) and Sentinel-2 (S2) data can provide high resolution informati...

There is a growing need for an area-wide knowledge of SOC contents in agricultural soils at the field scale for food security and monitoring long-term changes related to soil health and climate change. In Germany, SOC maps are mostly available with a spatial resolution of 250 m to 1 km2. The nationwide availability of both digital elevation models...

There is a growing need for an area-wide knowledge of SOC contents in agricultural soils at field scale for food security, monitoring long-term changes related to soil health and climate change. In Germany, large-scale SOC maps are mostly available with a spatial resolution of 250 m to 1 km2. The nationwide availability of both digital elevation mo...

In Germany, the agriculture produces by far the largest share of basic food and animal feed. In addition, raw materials such as construction and insulation materials and fuels are increasingly being produced for industrial use by the agricultural sector.Arable production systems thus represent an indispensable part of food security. At the same tim...

The digitization of agriculture has been advancing for a number of years, but is not yet being implemented on a large scale in farms in Germany. In the area of spatial data use, the main challenges lie in the inadequate definition of interfaces and in a lack of data and knowledge transfer between science and practice. This is where the “AgriSens -...

Glyphosate is one of the most widely used non-selective systemic herbicides, but nowadays its application is controversially discussed. Optical remote sensing techniques might provide a sufficient tool for monitoring glyphosate use. In order to investigate the potential of this technology, a laboratory experiment was set-up using pots with rolled g...

In the face of rapid global change it is imperative to preserve geodiversity for the overall conservation of biodiversity. Geodiversity is important for understanding complex biogeochemical and physical processes and is directly and indirectly linked to biodiversity on all scales of ecosystem organization. Despite the great importance of geodiversi...

Plant breeding, especially conventional as well as marker assisted selection of suitable genotypes requires labor and time consuming screening of large amounts of plant material in field trials. In order to speed up the phenotyping process and to increase the number of genotypes being tested, new sensor systems have to be introduced. Innovative non...

The European Copernicus program delivers optical and radar satellite imagery at a high temporal frequency and at a ground resolution of 10m worldwide with an open data policy. Since July 2017 the satellite constellation of the Sentinel-1 and-2 satellites is fully operational, allowing e.g. coverage of Germany every 1-2 days by radar and every 2-3 d...

The Copernicus program headed by the European Commission (EC) in partnership with the European Space Agency (ESA) will launch up to twelve satellites, the so called " Sentinels " for earth and environmental observations until 2020. Within this satellite fleet, the Sentinel-1 (microwave) and Sentinal-2 (optical) satellites deliver valuable informati...

Leaf area index (LAI) and above ground biomass dry matter (DM) are key variables for crop growth monitoring and yield estimation. High prediction accuracies of these parameters are a vital prerequisite for sophisticated yield projections. The aim of the study was to examine the predictive ability of partial least squares regression (PLSR) for LAI a...

Die Vielzahl der Funktionen, die der Boden in einem Ökosystem übernimmt, verleiht ihm einen hohen Stellenwert im Mensch-Umwelt-System. Der Boden landwirtschaftlicher Nutzflächen ist im Besonderen eine elementare Säule der Ernährung der Menschheit. Kenntnisse zu seiner spezifischen Ausprägung und seinen physikalisch-chemischen Eigenschaften sind von...

Information on soil clay and organic carbon content on a regional to local scale is vital for a multitude of reasons such as soil conservation, precision agriculture, and possibly also in the context of global environmental change. The objective of this study was to evaluate the potential of multi-annual hyperspectral images acquired with the HyMap...

To counteract possible implications caused by soil erosion on agricultural fields, erosion risk needs to be assessed quantitatively. However, the provision of appropriate model input parameters currently poses a problem, in particular on a regional to local scale. In our research we focus on the determination of soil variables linked to soil erosio...

One of the main research objectives of the working group Thematic Processors and Validation (TPV) of the Remote Sensing Data Centre (DLR-DFD) is the automation of remote sensing data processing. Whereby, the focal point of research is the derivation of value-added products for agriculture and forestry objectives. Three examples are given to outline...

This paper gives an introduction to the agricultural test site DEMMIN which is operated by DLR-DFD since 1999. The paper provides a description of the specific characteristics of the area, the existing data base and its in-situ measuring instrumentation. During the AgriSAR campaign in 2006, numerous airborne radar and optical data sets were acquire...

Physically based erosion models have been widely accepted in soil erosion risk assessment in the past years but their application is still restricted due to a large disparity between required model input parameters and data availability. Hyperspectral imaging may offer an alternative to solve that problem providing high spatial and spectral informa...

This paper presents the results of automated extraction of crop characteristics from hyperspectral earth observation data. The data was acquired with an airborne AHS imaging spectrometer in the framework of the joint European AgriSAR 2006 campaign. The AgriSAR campaign was directed by the ESA and took place at the DEMMIN test site in northeast Germ...