Markus Möller

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• PhD
• Senior Researcher at Julius Kühn-Institut

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...

Accurate estimates of the location, timing, and severity of soil-erosion events on arable land have eluded erosion-prediction technology for decades. Here, for the first time, we demonstrate how a machine learning model can nowcast the occurrence and relatively rank the severity of erosion events on arable field parcels at the regional scale with h...

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...

Heat and drought are major abiotic stressors threatening cereal yields, but little is known regarding the spatio-temporal development of their yield-effects. In this study, we assess genotype (G) × environment (E) × management (M) specific weather-yield relations utilizing spatially explicit weather indices (WIs) and variety trial yield data of win...

This document is the proposal for the consortium FAIRagro in the framework of the National Research Data Infrastructure (NFDI) in Germany. The proposal was submitted to the German Research Foundation (DFG) in Nov 2021. The proposal was finally accepted with a revised working program in Feb 2023. All financial resources (personnel, material, direct...

The Data Steward Service Center (DSSC) is the central institution within FAIRagro to develop data management tools based on the needs of the scientific community. The DSSC organizes the continuous exchange of RDM knowledge and experience with other institutions, channels user requests from the community, and transfers knowledge from the FAIRagro ta...

Crop yields are increasingly affected by climate change-induced weather extremes in Germany. However, there is still little knowledge of the specific crop-climate relations and respective heat and drought stress-induced yield losses. Therefore, we configure weather indices (WIs) that differ in the timing and intensity of heat and drought stress in...

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...

The data descriptor represents a Germany-wide and spatio-temporally consistent 1 x1 km² analysis-ready time series of interpolated days of the year (DOYs). The data set covers 56 entry dates of phenological development stages of 9 main crop types for the period between 1993 and 2021. The derivation of the 1624 records is based on phenological obser...

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...

Zusammenfassung FAIRagro ist ein Konsortium in der Nationalen Forschungsdateninfrastruktur (NFDI) in Deutschland um Forschungsdaten der Agrosystemforschung FAIR – d. h. auffindbar (F), zugänglich (A), interoperabel (I) und für andere Forschende domänenübergreifend nachnutzbar (R) zu machen. In der deutschen Forschungslandschaft rund um nachhaltige...

Download at: https://www.thuenen.de/media/publikationen/thuenen-workingpaper/ThuenenWorkingPaper_198.pdf (only in German) --- We provide an overview of the state of knowledge on the climate change impacts on German crop production and generate model-based, quantitative and spatially differentiated simulations of the yield changes of the most impo...

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...

Remote sensing (RS) enables a cost-effective, extensive, continuous and standardized monitoring of traits and trait variations of geomorphology and its processes, from the local to the continental scale. To implement and better understand RS techniques and the spectral indicators derived from them in the monitoring of geomorphology, this paper pres...

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...

Zusammenfassung Das Klima und die Witterung sind prägende Faktoren für den Pflanzenschutz. Bereits vor 100 Jahren haben sich Wissenschaftler im Nachrichtenblatt für den Deutschen Pflanzenschutzdienst dieser Thematik gewidmet. Die Aus-wirkungen des Klimawandels sind ambivalent und es wird insgesamt zu einer Veränderung des Schaderreger-spektrums kom...

To gain a better understanding of the global application of soil erosion prediction models, we comprehensively reviewed relevant peer-reviewed research literature on soil-erosion modelling published between 1994 and 2017. We aimed to identify (i) the processes and models most frequently addressed in the literature, (ii) the regions within which mod...

To gain a better understanding of the global application of soil erosion prediction models, we comprehensively reviewed relevant peer-reviewed research literature on soil-erosion modelling published between 1994 and2017. We aimed to identify (i) the processes and models most frequently addressed in the literature, (ii) the regions within which mode...

Soil erosion can present a major threat to agriculture due to loss of soil, nutrients, and organic carbon. Therefore, soil erosion modelling is one of the steps used to plan suitable soil protection measures and detect erosion hotspots. A bibliometric analysis of this topic can reveal research patterns and soil erosion modelling characteristics tha...

The status, changes, and disturbances in geomorphological regimes can be regarded as controlling and regulating factors for biodiversity. Therefore, monitoring geomorphology at local, regional, and global scales is not only necessary to conserve geodiversity, but also to preserve biodiversity, as well as to improve biodiversity conservation and eco...

There is an increasing need for small scale information about the temporal shifting of the phenological crop development for applications like fertilization, irrigation, crop and soil protection, weather index insurance, yield prediction, crop classification or as bio-indicator of climate change. This application note introduces PhenoWin, a tool to...

Systematic bibliometric investigations are useful to evaluate and compare the scientific impact of journal papers, book chapters and conference proceedings. Such studies allow the detection of emerging research topics, the analyses of cooperation networks, and the collection of in-depth insights into a specific research topic. In the presented work...

Infolge des Klimawandels wird erwartet, dass Ertragsschwankungen beim Anbau landwirtschaftlicher Kulturarten in Zukunft zunehmen werden. Angesichts dessen wird der Einsatz von Ertragsversicherungen (ErtV) und Wetterindexversicherungen (WIV) diskutiert. Allerdings ist aus unternehmerischer Sicht nicht die alleinige Stabilisierung des Ertrags, sonder...

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...

Climate change has been recognized as a main driver in the increasing occurrence of extreme weather. Weather indices (WIs) are used to assess extreme weather conditions regarding its impact on crop yields. Designing WIs is challenging, since complex and dynamic crop-climate relationships have to be considered. As a consequence, geodata for WI calcu...

Agricultural monitoring and assessment based on satellite data increasingly gains importance due to the growing number of available satellite sensors with high geometric and temporal resolution. Such tasks often require multiple images acquired on specific dates that among others account for inter-annual phenological variations to provide accurate...

A key challenge for the design of weather index insurances (WII) is the presence of basis risk, i.e. the actual loss of the insured farm is not fully covered by the insurance payment. Basis risk can occur dependent on the distance between the point of measurement of a specific weather event and the farm's location (spatial basis risk). The present...

"Monitoring of agricultural used soils at frequent intervals is needed to get a better understanding of processes like soil erosion or harvest forecast. This is crucial to support decision making and refining soil policies especially in the context of climate change. Parcel-specific soil coverage information can be derived by satellite imagery with...

The monitoring of erosion pattern requires up-to-date parcel-and phase-specific soil coverage information. Such dynamic data sets can be obtained by data fusion of satellite imagery of different temporal and geometric resolution in combination with phenological spatial data sets like interpolated phenological observations or satellite-based phenolo...

Abstract Monitoring of soils used for agriculture at frequent intervals is crucial to support decision making and refining soil policies especially in the context of climate change. Along with rainfall erosivity, soil coverage by vegetation or crop residues is the most dynamic factor affecting soil erosion. Parcel-specific soil coverage information...

Abstract Crop monitoring using remotely sensed image data provides valuable input for a large variety of applications in environmental and agricultural research. However, method development for discrimination between spectrally highly similar crop species remains a challenge in remote sensing. Calculation of vegetation indices is a frequently appli...

Bodenerosion auf landwirtschaftlich genutzten Flächen hat negative Folge sowohl für die Umwelt (Boden- und Gewässerqualität) als auch für Landwirtschaftbetriebe (Verringerung der Bodenfruchtbarkeit und Erträge). Die Bodenbedeckung ist ein entscheidender Faktor für die Bewertung des Bodenerosionsrisikos. Der Bodenbedeckungsgrad von Ackerfrüchten ist...

Soil erosion on agricultural land is a phenomenon with large economical and environmental consequences for both farmers and landscape. The large-scale identification of erosion hotspots as well as the simulation of protection measures require up-to-date information about vegetation coverage which can be provided by the analysis of high resolution r...

The presented work is evaluating the temporal stability of STARFM generated time-series in an intensively agriculturally used area in Central Germany. 10 Landsat 5 or 7 scenes from 2011 used to generate a daily synthetically timeseries, based on the MODIS terra product (500 m). Similarly, 13 RapidEye scenes were acquired. The synthetic Landsat prod...

The DynaC framework aims at the up-to-date derivation of the parcel-specific cover management factor as a temporally dynamic input parameter for soil erosion modeling. Parcel boundaries and parcels' fractional vegetation coverages (FVC) result from the analysis of multi-spectral and multitemporal satellite imagery. The FVC modeling results are vali...

European initiatives to harmonize geodata and the emergence of object-based image analysis techniques in remote sensing lead to increased demands regarding the quality assessment of thematic classification results. While common accepted metrics for the thematic accuracy assessment has already been established for decades, there is a deficit in gene...

European initiatives for data harmonization and the establishment of remote-sensing-based services aim at the production of up-to-date land-cover information according to generally valid standards for the accurate qualification of thematic classification results. This is particularly true since new satellite systems provide data of high temporal an...

Efficient computation of regional land-surface parameters for large-scale digital elevation models becomes more and more important, in particular for web-based applications. This paper studies the possibilities of decreasing computing time for such tasks by parallel processing using multi-threads on multi-core processors. As an example of calculati...

The simplified phenological model PHASE is presented which enables a quick and and on-the-fly Germany-wide prediction of phenological phases. The PHASE model bases on the assumption of linear relations between observed phenological events and phase-specific accumulated temperatures. The model was designed as simple as possible and is adapted to the...

The motivation for this article results from the fact that conceptual soil maps show oftentimes inaccuracies with regard to soil unit boundaries or misfits between original paper and actual soil-related information. Using the example of a German conceptual soil map (CSM), we introduce a procedure which could be considered as a framework for testing...

The German joint project DeCover 2 is developing a methodological framework to cope with the increasing demand for up-to-date land cover information using remote sensing techniques. New satellite systems like RapidEye provide both data of high geometric resolution and high repetition rates. Because of the Germany-wide diversity of natural condition...

Optical remote sensing data are widely used for the classification of natural and agricultural vegetation classes. The distinction of phenological stages within specific and between different species requires the availability of multi-temporal data sets. New satellite systems provide both data of high geometric resolution and high repetition rates....

This paper presents a methodological framework for scale-specific assessment of soil erosion by water. The framework enables the definition of hierarchical, functional and modular nested reference units which result from the integrated consideration of policy, process and model hierarchies. The framework is applied on three planning levels: at firs...

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Abstract Landforms and landscape context are of particular importance in understanding the processes of soil genesis and soil formation in the spatial domain. Consequently, many approaches for soil generation are based on classifications of commonly available digital elevation models (DEM). However, their application is often restricted by the lack...

Landschaftsökologische Modellierungen stehen im Spannungsfeld zwischen gesellschaftlichen Ansprüchen und der mangelnden maßstabsspezifischen Verfügbarkeit an thematischen Grundlagendaten und Bezugseinheiten. Gesellschaftliche Ansprüche resultieren aus der nationalen und europäischen Umweltgesetzgebung. Die maßstabsspezifische Datenverfügbarkeit bez...

Segmentation algorithms applied to remote sensing data provide valuable information about the size, distribution and context of landscape objects at a range of scales. However, there is a need for well-defined and robust validation tools to assessing the reliability of segmentation results. Such tools are required to assess whether image segments a...

Es ist nicht zu übersehen, dass die Bodenfunktionsbewertung angesichts nationaler und internationaler Bodenschutzgesetze und infolge veränderter EU-Richtlinien bei der Förderung landwirtschaftlicher Betriebe vor neuen Herausforderungen steht. Ebenso rücken die Ausmaße katastrophaler Hochwässer den Bodenschutz immer wieder in den Blickwinkel der Öff...

For the derivation of input parameters for mesoscale water and matter balance models and assessment procedures such as ABIMO, SWAT and ArcEGMO as well as for the evaluation of erosion risk potential differently aggregated data sets of the Corine Land Cover (CLC) classification had been utilized. The paper discusses the applicability of the CLC data...