Analysis of 2D/3D Urban Density Indices in Context of Land Surface Temperature

Cities worldwide cover only 2 % of earth`s surface but spend almost 75 % of the world`s energy resources (Gago et al. 2013). The emission of heat and the structure of built-up areas can increase the phenomenon of urban heat islands (UHI), which highly infects the well-being of all inhabitants. Future work will focus on monitoring capabilities to manage the development of urban settlements. The study investigates the relationship between urban density indices and land surface temperature (LST) using multi-sensor remote sensing data. All processing steps are performed for the City of Cologne, Germany. The input data are consisting of high resolution multi-spectral Ikonos imagery, as well as an object height model, derived from Light Detection And Ranging (LiDAR) data and thermal information, provided by the Landsat 7 satellite mission. The first working step, the derivation of six land cover (LC) classes, is based on a geographic object based image analysis (GEOBIA) approach. Therefore, LiDAR and pan-sharped Ikonos data with a spatial resolution of one meter are used. In a second step, and based on the extracted LC and object height information, existing and new measures of urban density are computed, that take into account the horizontal and/or vertical characteristics of a city. All measures are separated into single object related and area related indices, depending on the basis of calculation. The significance of different Areas of Interests (AOI) are analyzed and compared for area related indices. Finally, the correlation between multi-temporal LST data, derived from Landsat Enhanced Thematic Mapper (ETM+), and each indicator is calculated with regard to their dependency on the predominant type of urban land use (LU) and the acquisition date (season) of the Landsat ETM+ data

Nachhaltigkeitsbewertung von Landwirtschaftsbetrieben nach den SAFA-Leitlinien

To promote a common concept of sustainability assessment, the FAO published guidelines for the Sustainability Assessment of Food and Agriculture Systems (SAFA). The aim of this paper is to present and discuss a method, which operationalises the SAFA-Guidelines at farm level, based on the concept of Multi-Criteria Analysis. The assessment method determines the degree of goal achievement of the 58 SAFA subthemes using a set of over 300 indicators, which is adapted according to farm type and region. It is therefore globally applicable, able to identify differences in different areas of sustainability between farms and can complement existing methods such as LCA

Validity of a Local Positioning System during Outdoor and Indoor Conditions for Team Sports

This study aimed to compare the validity of a local positioning system (LPS) during outdoor and indoor conditions for team sports. The impact of different filtering techniques was also investigated. Five male team sport athletes (age: 27 ± 2 years; maximum oxygen uptake: 48.4 ± 5.1 mL/min/kg) performed 10 trials on a team sport-specific circuit on an artificial turf and in a sports hall. During the circuit, athletes wore two devices of a recent 20-Hz LPS. From the reported raw and differently filtered velocity data, distances covered during different walking, jogging, and sprinting sections within the circuit were computed for which the circuit was equipped with double-light timing gates as criterion measures. The validity was determined by comparing the known and measured distances via the relative typical error of estimate (TEE). The LPS validity for measuring distances covered was good to moderate during both environments (TEE: 0.9–7.1%), whereby the outdoor validity (TEE: 0.9–6.4%) was superior than indoor validity (TEE: 1.2–7.1%). During both environments, validity outcomes of an unknown manufacturer filter were superior (TEE: 0.9–6.2%) compared to those of a standard Butterworth filter (TEE: 0.9–6.4%) and to unprocessed raw data (TEE: 1.0–7.1%). Our findings show that the evaluated LPS can be considered as a good to moderately valid tracking technology to assess running-based movement patterns in team sports during outdoor and indoor conditions. However, outdoor was superior to indoor validity, and also impacted by the applied filtering technique. Our outcomes should be considered for practical purposes like match and training analyses in team sport environments

Repräsentative SMART-Nachhaltigkeitsbewertung der Bio Suisse-Betriebe. Kurzbericht 2018

Die Knospe gilt als Garant für eine nachhaltige Landwirtschaft. Doch wie nachhaltig wirtschaften die Knospe-Höfe tatsächlich,was läuft gut, wo gibt es Verbesserungspotential? Diesen Fragen gingen das FiBL und die SFS im Auftrag von Bio Suisse auf den Grund. Zum Einsatz kam dabei SMART (Sustainability Monitoring and Assessment RouTine), ein Instrument, welches das FiBL zur ganzheitlichen Nachhaltigkeitsanalyse und Bewertung von landwirtschaftlichen Betrieben und Lebensmittelunternehmen entwickelt hat. Die Bewertung beruht auf einer Betriebsbesichtigung und einem etwa zwei- bis dreistündigen Interview mit den Betriebsleitern zu verschiedenen für die Landwirtschaft relevanten Themenbereichen. Innerhalb von drei Jahren wurden so 185 Höfe auf ihre Nachhaltigkeit hin untersucht. Die Stichprobe wurde so gewählt, dass alle Betriebstypen und Landwirtschaftszonen abgebildet wurden. Zu den Projektzielen gehörten: - Repräsentative Bewertung der Nachhaltigkeitsleistungen der Knospe-Betriebe durch eine externe Institution. - Ermöglichung der kontinuierlichen Entwicklung der Betriebe und Sicherstellung der Zukunftsfähigkeit der Bio Suisse Betriebe sowie der Marke Knospe. - Erarbeitung einer glaubwürdigen Informationsbasis zur Kommunikation der Nachhaltigkeit von Knospe-Betrieben. Die Ergebnisse sollen sowohl für die Verbesserung des Beratungs- und Schulungsangebots im Bereich Nachhaltigkeit als auch für die strategische Weiterentwicklung des Verbands genutzt werden

Further Development of Methodologies for Sustainability Assessment and Monitoring in Organic/Ecological Agriculture

In recent years there has been a great deal of interest in assessing the sustainability of agriculture in terms of its social, environmental and economic impact and a number of indicators and tools are used. Measurements take place at the farm or product level and indicators can be outcome related e.g. number of butterfly species present, or management related e.g. percentage of fields with margins growing wildflowers to attract butterflies. Given its underlying ethos, the organic/ecological agriculture sector should aim to be at the forefront of sustainability. The development of assessment approaches and recent discussions within the movement have identified continuous improvement towards best practice in sustainability to be one of the important features of the new direction. Positive effects in such areas as ‘environment’ are seen as one of the most important reasons for the financial support given to the organic sector, and as one of the reasons for consumers’ willingness to pay a premium for organic food. This project aimed to provide practical recommendations on the suitability of the available sustainability assessment frameworks, themes, tools and indicators for the organic sector and to help consider and further develop sustainability assessment approaches. A review of tools, indicators, themes and sustainability assessment methods was carried out. The opinions of organisations and individuals from within the organic sector were obtained through an international workshop and an online survey. Synergies and trade-offs between indicators were investigated using the database of FiBL’s SMART sustainability assessment tool to investigate the relationships between themes. Results from the project have illustrated that choosing the most promising indicators for the organic sector needs to be driven by the importance of the sustainability theme as well as using a suitable method. Choosing indicators solely on the basis of desirable goals may lead to a subjective and non-transparent indicator selection which cannot be externally verified. On the other hand, assessing the quality of indicators alone appears to be too much driven by method and the choice of tools will also need to be influenced by data availability and/or cost of data collection. The inclusion of indicators that assess areas within social sustainability and good governance (e.g. corporate social responsibility) should be encouraged within existing tools. This development should build on recent frameworks provided by, for instance the Food and Agriculture Organisation of the United Nations FAO and OECD (e.g. SAFA, guidelines on social LCA, DFID Sustainable Livelihoods Framework). Indicator development should also consider stakeholder views and perspectives (perhaps using, for example, the European Innovation Partnership Programme to contact stakeholders) and decide on threshold values that indicate poor, acceptable and good performance. The assessment of synergies and trade-offs has illustrated that farms with good performance with regards to governance are likely to have positive performance on most environmental, social and economic aspects. This highlights the importance of good corporate management at the farm level. Further work on synergies and trade-offs using samples of farms is urgently required. In addition, trade-offs between the economic dimension on the one hand and the environmental and social dimensions on the other hand, may need to be accepted at farm level. There is scope, however, for these to be addressed by policy makers, to help the farmers set the right priorities. Substantial trade-offs also exist within the environmental dimension (for example between greenhouse gas emissions and animal welfare) which might be more difficult to resolve. Priorities need to be set depending on the specific context of the farm. Areas of sustainability that are perceived by those within the organic sector as being potential strengths were identified. These could be harnessed in terms of communicating the benefits of organic production. These key strengths include biodiversity, ecosystem diversity, soil quality and greenhouse gas emissions. Although such key strengths may seem obvious to those working within the sector and for several there is some good scientific evidence available, it is likely that the benefits are not widely-known or publicised and that further development of the evidence base is required

Uncertainty Assessment in Multi-Criteria Sustainability Assessments

How can indicator weights for multi-criteria sustainability assessments be determined based on experts' opinions? How do different opinions affect the results of sustainability assessments

Wie werden Betriebe nachhaltiger? Weiterentwicklung der Methode SMART-Farm

Mit der Methode SMART-Farm werden die Nachhaltigkeitsleistungen von ldw. Betrieben bewertet und vergleichbar gemacht. Ein neuer Ansatz zur Aufbereitung und Vermittlung der Bewertungsergebnisse berücksichtigt nun verstärkt die betrieblichen Bedürfnisse und Entscheidungsprozesse von Landwirt*innen

Supermodels for early LHC

We investigate what new physics signatures the LHC can discover in the 2009-2010 run, beyond the expected sensitivity of the Tevatron data by 2010. We construct "supermodels", for which the LHC sensitivity even with only 10 inverse picobarn is greater than that of the Tevatron with 10 inverse femtobarn. The simplest supermodels involve s-channel resonances in the quark-antiquark and especially in the quark-quark channels. We concentrate on easily visible final states with small standard model backgrounds, and find that there are simple searches, besides those for Z' states, which could discover new physics in early LHC data. Many of these are well-suited to test searches for "more conventional" models, often discussed for multi-inverse femtobarn data sets.Comment: 11 pages, 6 figures; v2, references adde