Die netzpolitische Glaskugel

Mit einer netzpolitischen Glaskugel in die Zukunft schauen, um herauszufinden, ob wir uns auf diese freuen wollen oder sie fürchten sollen, ist eine große Herausforderung. Antworten soll das Workshop-Konzept Die netzpolitische Glaskugel (durchgeführt beim Forum Kommunikationskultur im November 2019) geben, das die Autor*innen in diesem Beitrag vorstellen. Sie werfen dabei exemplarisch einen utopischen, einen dystopischen sowie trendigen Blick in die Zukunft und präsentieren im Anschluss einen Methodenmix zum Thema Datenschutz

Konzepte großmaßstäbiger Bodenkarten

Auf Basis der Daten des Fachinformationssystems Boden, der Bodenschätzung und weiterer Informationen aus einer digitalen Reliefanalyse und der Landnutzung wurden Methoden zur digitalen Erstellung von großmaßstäbigen Bodenkarten (digital soil mapping) Sachsens getestet. Die Publikation beschreibt die Aufbereitung der Grundlagendaten sowie die Anwendung der Methoden. Redaktionsschluss: 22.01.202

Future European Expendable Launcher Options and Technology Preparation

The paper describes latest results of the most recent activities in Germany in the technical assessment of future European launcher architecture. In a joint effort of DLR-SART with German launcher industry a next generation upper-medium class expendable TSTO and options for new liquid fuel upper stages for the small VEGA-launcher are addressed. The WOTAN study has investigated fully cryogenic launchers as well as those with a combination of solid and cryogenic stages, fulfilling a requirement of at least 5000 kg single payload into GTO. With this study finished, final performance data as well as critical technical and programmatic issues are presented. The VENUS research on potential new VEGA upper stages is now focused on storable and on Vinci-based cryogenic propulsion and includes not only the VEGA solid propellant lower composite, but also its potential more powerful future upgrade. In its second part the paper gives an overview on advanced cryogenic upper-stage technologies presently under investigation in Germany. A research cooperation of German launcher industry, university academia and DLR has been initiated to work jointly on various identified needs

Modeling Of Dynamic Weather Indexes By Coupling Spatial Phenological And Precipitation Data - A Practical Application In The Context Of Weather Index-based Insurances

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 study aimed to derive spatial data sets and use them for the design of test site- and phenological phasespecific precipitation indexes. We studied for 20 German crop farms the hedging efficiency of WII, i.e. how the variability of farm specific total gross margins would have changed if farmers had purchased the designed WII. The hedging efficiency is different from farm to farm and not always a risk reduction (positive HE) results. Although these might be not the best results, a new methodology to minimize spatial basis risk could be introduced by designing highly dynamic indexes, which are flexible and precise in terms of time and space. The contribution of the present study to the WII research is the analysis of the HE of WII based on these indexes

Phenological NDVI time series for the dynamic derivation of soil coverage information

"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 high temporal and geometric resolution. However, their usable number is mostly, due to cloud cover, not representative for the phenological characteristics of vegetated classes. To overcome temporal constraints, spatial and temporal fusion models like STARFM or ESTARFM are increasingly applied to derive high resolution time series of remotely sensed biophysical parameters based on high-spatial/low-temporal resolution imagery like Landsat or Sentinel-2 and low-spatial/high-temporal resolution imagery like MODIS. We show how their combination with corresponding phenological information enables the definition of temporal windows in which models predicting fractional Vegetation coverage (FV C) or bare soils (BS) can be selectively applie

Konzepte großmaßstäbiger Bodenkarten

Auf Basis der Daten des Fachinformationssystems Boden, der Bodenschätzung und weiterer Informationen aus einer digitalen Reliefanalyse und der Landnutzung wurden Methoden zur digitalen Erstellung von großmaßstäbigen Bodenkarten (digital soil mapping) Sachsens getestet. Die Publikation beschreibt die Aufbereitung der Grundlagendaten sowie die Anwendung der Methoden. Redaktionsschluss: 22.01.202

Konzepte großmaßstäbiger Bodenkarten

Auf Basis der Daten des Fachinformationssystems Boden, der Bodenschätzung und weiterer Informationen aus einer digitalen Reliefanalyse und der Landnutzung wurden Methoden zur digitalen Erstellung von großmaßstäbigen Bodenkarten (digital soil mapping) Sachsens getestet. Die Publikation beschreibt die Aufbereitung der Grundlagendaten sowie die Anwendung der Methoden. Redaktionsschluss: 22.01.202

German Research Cooperation Upper Stage

The paper gives an overview on the Research Network Upper Stage, created to investigate advanced cryogenic upperstage technologies in Germany. To satisfy future market demands the need of advanced cryogenic upper stages, technologies has been identified. A research network of German launcher industry, University and DLR has been initiated to work jointly on various identified key technological areas: propellant management technology, further extension of the DLR TAU-Code, the simulation of the propulsion system, the composite fibre technologies and avionics technologies

Coupling of phenological information and simulated vegetation index time series: Limitations and potentials for the assessment and monitoring of soil erosion risk

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 can be derived by satellite imagery with high geometric resolution. However, their usable number is mostly, due to cloud cover, not representative for the phenological characteristics of vegetated classes. To overcome temporal constraints, spatial and temporal fusion models, such as STARFM, are increasingly applied to derive high-resolution time series of remotely sensed biophysical parameters, based on fine spatial/coarse temporal resolution imagery, such as Landsat, and coarse spatial/fine temporal resolution imagery, such as MODIS. In this context, the current study introduces an evaluation scheme for simulated vegetation index time series which enables the assessment of their performance during multiple phenological phases. The evaluation scheme is based on Germany-wide available spatial predictions of phenological phases as well as RapidEye imagery and parcel-specific crop-type information. The evaluation results show that the simulation accuracy is basically controlled by the temporal distance between MODIS and Landsat base pairs, as well as the ability of the actual Landsat image to properly represent the phenological phase of the Landsat image simulated by MODIS. In addition, we discuss the potential of simulated index times series and corresponding phenological information for the dynamic (1) definition of temporal windows where soils are potentially covered by no, sparse or dense vegetation or crop residues and (2) parameterization of soil erosion models. The database thus obtained opens up new possibilities for an efficient and dynamic erosion monitoring, which can support soil protection and hazard prevention