TY - CHAP A1 - Doktor, Daniel A1 - Badeck, Franz-Werner A1 - Bondeau, Alberte A1 - Koslowsky, Dirk A1 - Schaber, Jörg A1 - McAllister, Murdock T1 - Using satellite imagery and ground observations to quantify the effect of intra-annually changing temperature patterns on spring time phenology N2 - Interdisziplinäres Zentrum für Musterdynamik und Angewandte Fernerkundung Workshop vom 9. - 10. Februar 2006 Y1 - 2006 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-7244 N1 - [Poster] ER - TY - CHAP A1 - Rossmanith, Eva A1 - Blaum, Niels A1 - Keil, Manfred A1 - Langerwisch, F. A1 - Meyer, Jork A1 - Popp, Alexander A1 - Schmidt, Michael A1 - Schultz, Christoph A1 - Schwager, Monika A1 - Vogel, Melanie A1 - Wasiolka, Bernd A1 - Jeltsch, Florian T1 - Scaling up local population dynamics to regional scales BT - an integrated approach N2 - In semi-arid savannas, unsustainable land use can lead to degradation of entire landscapes, e.g. in the form of shrub encroachment. This leads to habitat loss and is assumed to reduce species diversity. In BIOTA phase 1, we investigated the effects of land use on population dynamics on farm scale. In phase 2 we scale up to consider the whole regional landscape consisting of a diverse mosaic of farms with different historic and present land use intensities. This mosaic creates a heterogeneous, dynamic pattern of structural diversity at a large spatial scale. Understanding how the region-wide dynamic land use pattern affects the abundance of animal and plant species requires the integration of processes on large as well as on small spatial scales. In our multidisciplinary approach, we integrate information from remote sensing, genetic and ecological field studies as well as small scale process models in a dynamic region-wide simulation tool.
Interdisziplinäres Zentrum für Musterdynamik und Angewandte Fernerkundung Workshop vom 9. - 10. Februar 2006. Y1 - 2006 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-7320 N1 - [Poster] ER - TY - CHAP A1 - Domsch, Horst T1 - Prägnante räumlich-zeitliche Muster einer landwirtschaftlich genutzten Fläche N2 - In ihrem Bemühen, landwirtschaftliche Flächen standortgerecht zu bewirtschaften, sammelt eine zunehmende Anzahl landwirtschaftlicher Betriebe Informationen über die räumlich-zeitliche Verteilung von Boden- und Pflanzenmerkmalen auf ihren Schlägen. Diese Informationen dienen unmittelbar (Echtzeitansatz) oder mittelbar (Kartenansatz) zur Dosierung von Dünge- und Pflanzenschutzmitteln (Präzise Landbewirtschaftung). Zur Datensammlung werden vorrangig fahrzeuggestützte Sensoren und VIS- und NIR-Luftbilder, aufgenommen aus Sportflugzeugen, verwendet. Erste Betriebe erwerben von Dienstleistungsunternehmen aufbereitete Satelliten-Fernerkundungsdaten. Die landwirtschaftliche und agrartechnische Forschung ist bestrebt, die grundlegenden Muster (z.B. des Ertragspotentials) zu erkennen und damit den Aufwand der Betriebe für eine regelmäßige Informationserfassung gering zu halten.
Interdisziplinäres Zentrum für Musterdynamik und Angewandte Fernerkundung Workshop vom 9. - 10. Februar 2006 Y1 - 2006 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-7257 N1 - [Poster] ER - TY - CHAP A1 - Sommer, Michael T1 - Nicht-invasive Methoden in der Bodenlandschaftsforschung BT - Konzeption und Projekte N2 - Der Referent ist Leiter des Institutes für Bodenlandschaftsforschung am Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e. V. in Müncheberg. Y1 - 2006 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-7117 N1 - Interdisziplinäres Zentrum für Musterdynamik und Angewandte Fernerkundung Workshop vom 9. - 10. Februar 2006 ER - TY - CHAP A1 - Kuhnert, Matthias A1 - Güntner, Andreas A1 - Klann, Mechthild A1 - Martin Garrido, F. A1 - Zillgens, Birgit T1 - Methods for spatial pattern comparison in distributed hydrological modelling : [Poster] N2 - The rigorous development, application and validation of distributed hydrological models obligates to evaluate data in a spatially distributed way. In particular, spatial model predictions such as the distribution of soil moisture, runoff generating areas or nutrient-contributing areas or erosion rates, are to be assessed against spatially distributed observations. Also model inputs, such as the distribution of modelling units derived by GIS and remote sensing analyses, should be evaluated against groundbased observations of landscape characteristics. So far, however, quantitative methods of spatial field comparison have rarely been used in hydrology. In this paper, we present algorithms that allow to compare observed and simulated spatial hydrological data. The methods can be applied for binary and categorical data on regular grids. They comprise cell-by-cell algorithms, cell-neighbourhood approaches that account for fuzziness of location, and multi-scale algorithms that evaluate the similarity of spatial fields with changing resolution. All methods provide a quantitative measure of the similarity of two maps. The comparison methods are applied in two mountainous catchments in southern Germany (Brugga, 40 km2) and Austria (Löhnersbach, 16 km2). As an example of binary hydrological data, the distribution of saturated areas is analyzed in both catchments. For categorical data, vegetation zones that are associated with different runoff generation mechanisms are analyzed in the Löhnersbach. Mapped spatial patterns are compared to simulated patterns from terrain index calculations and from satellite image analysis. It is discussed how particular features of visual similarity between the spatial fields are captured by the quantitative measures, leading to recommendations on suitable algorithms in the context of evaluating distributed hydrological models. Y1 - 2006 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-7160 N1 - Interdisziplinäres Zentrum für Musterdynamik und Angewandte Fernerkundung Workshop vom 9. - 10. Februar 2006 ER - TY - CHAP A1 - Zeilinger, Gerold A1 - Mutti, Maria A1 - Strecker, Manfred A1 - Rehak, Katrin A1 - Bookhagen, Bodo A1 - Schwab, Marco T1 - Integration of digital elevation models and satellite images to investigate geological processes. N2 - In order to better understand the geological boundary conditions for ongoing or past surface processes geologists face two important questions: 1) How can we gain additional knowledge about geological processes by analyzing digital elevation models (DEM) and satellite images and 2) Do these efforts present a viable approach for more efficient research. Here, we will present case studies at a variety of scales and levels of resolution to illustrate how we can substantially complement and enhance classical geological approaches with remote sensing techniques. Commonly, satellite and DEM based studies are being used in a first step of assessing areas of geologic interest. While in the past the analysis of satellite imagery (e.g. Landsat TM) and aerial photographs was carried out to characterize the regional geologic characteristics, particularly structure and lithology, geologists have increasingly ventured into a process-oriented approach. This entails assessing structures and geomorphic features with a concept that includes active tectonics or tectonic activity on time scales relevant to humans. In addition, these efforts involve analyzing and quantifying the processes acting at the surface by integrating different remote sensing and topographic data (e.g. SRTM-DEM, SSM/I, GPS, Landsat 7 ETM, Aster, Ikonos…). A combined structural and geomorphic study in the hyperarid Atacama desert demonstrates the use of satellite and digital elevation data for assessing geological structures formed by long-term (millions of years) feedback mechanisms between erosion and crustal bending (Zeilinger et al., 2005). The medium-term change of landscapes during hundred thousands to millions years in a more humid setting is shown in an example from southern Chile. Based on an analysis of rivers/watersheds combined with landscapes parameterization by using digital elevation models, the geomorphic evolution and change in drainage pattern in the coastal Cordillera can be quantified and put into the context of seismotectonic segmentation of a tectonically active region. This has far-reaching implications for earthquake rupture scenarios and hazard mitigation (K. Rehak, see poster on IMAF Workshop). Two examples illustrate short-term processes on decadal, centennial and millennial time scales: One study uses orogen scale precipitation gradients derived from remotely sensed passive microwave data (Bookhagen et al., 2005a). They demonstrate how debris flows were triggered as a response of slopes to abnormally strong rainfall in the interior parts of the Himalaya during intensified monsoons. The area of the orogen that receives high amounts of precipitation during intensified monsoons also constitutes numerous landslide deposits of up to 1km3 volume that were generated during intensified monsoon phase at about 27 and 9 ka (Bookhagen et al., 2005b). Another project in the Swiss Alps compared sets of aerial photographs recorded in different years. By calculating high resolution surfaces the mass transport in a landslide could be reconstructed (M. Schwab, Universität Bern). All these examples, although representing only a short and limited selection of projects using remote sense data in geology, have as a common approach the goal to quantify geological processes. With increasing data resolution and new sensors future projects will even enable us to recognize more patterns and / or structures indicative of geological processes in tectonically active areas. This is crucial for the analysis of natural hazards like earthquakes, tsunamis and landslides, as well as those hazards that are related to climatic variability. The integration of remotely sensed data at different spatial and temporal scales with field observations becomes increasingly important. Many of presently highly populated places and increasingly utilized regions are subject to significant environmental pressure and often constitute areas of concentrated economic value. Combined remote sensing and ground-truthing in these regions is particularly important as geologic, seismicity and hydrologic data may be limited here due to the recency of infrastructural development. Monitoring ongoing processes and evaluating the remotely sensed data in terms of recurrence of events will greatly enhance our ability to assess and mitigate natural hazards.
Dokument 1: Foliensatz | Dokument 2: Abstract
Interdisziplinäres Zentrum für Musterdynamik und Angewandte Fernerkundung Workshop vom 9. - 10. Februar 2006 Y1 - 2006 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-7063 ER - TY - CHAP A1 - Märker, Michael A1 - Schröder-Esselbach, Boris A1 - Capolongo, Domenico A1 - Bentivenga, Mario T1 - Geomorphological and pedological processes in badland areas of Southern Italy and their interaction with Mediterranean vegetation N2 - Interdisziplinäres Zentrum für Musterdynamik und Angewandte Fernerkundung Workshop vom 9. - 10. Februar 2006 Y1 - 2006 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-7288 N1 - [Poster] ER - TY - CHAP A1 - Popp, Alexander A1 - Blaum, Niels A1 - Domptail, Stephanie A1 - Herpel, Nicole A1 - Gröngröft, Alexander A1 - Hoffman, T. T. A1 - Jürgens, Norbert A1 - Milton, Sue A1 - Nuppenau, Ernst-August A1 - Rossmanith, Eva A1 - Schmidt, Michael A1 - Vogel, Melanie A1 - Vohland, Katrin A1 - Jeltsch, Florian T1 - From satellite imagery to soil-plant interactions BT - integrating disciplines and scales in process based simulation models N2 - Decisions for the conservation of biodiversity and sustainable management of natural resources are typically related to large scales, i.e. the landscape level. However, understanding and predicting the effects of land use and climate change on scales relevant for decision-making requires to include both, large scale vegetation dynamics and small scale processes, such as soil-plant interactions. Integrating the results of multiple BIOTA subprojects enabled us to include necessary data of soil science, botany, socio-economics and remote sensing into a high resolution, process-based and spatially-explicit model. Using an example from a sustainably-used research farm and a communally used and degraded farming area in semiarid southern Namibia we show the power of simulation models as a tool to integrate processes across disciplines and scales. Y1 - 2006 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-7302 N1 - Interdisziplinäres Zentrum für Musterdynamik und Angewandte Fernerkundung Workshop vom 9. - 10. Februar 2006. [Poster] ER - TY - CHAP A1 - Wegehenkel, Martin T1 - Die Nutzung von Fernerkundungsdaten in der Wasserhaushaltsmodellierung BT - ein Review N2 - Die Präsentation gibt zuerst einen Überblick über mögliche Parameter für die Wasserhaushaltsmodellierung, die aus Fernerkundungs(FE)-daten generell abgeleitet werden können. Bei der Beschreibung der Ableitungsverfahren dieser Parameter aus (FE)-Daten wird auf die Landnutzung, Vegetationsindices und die reale Evapotranspiration (ETr) fokussiert. Die Verfahren zur Bestimmung der ETr aus optischen FE-Daten lassen grob wie folgt gliedern : • Direkte Ableitung der Evapotranspiration aus radiometrisch bestimmten Oberflächen-temperaturen • Ableitung von Modellinputdaten wie z.B. Globalstrahlung, Albedo, Blattflächeniondex LAI und NDVI aus FE-Daten zur Anwendung von SoilVegetation-AtmosphereTransfer- und Energiebilanzmodellen wie z.B. SEBAL (Bastiaansen et al . 1998) • Kombinierte Anwendung verschiedenster Sensoren wie SAR-ERS1, LANDSAT-TM, NOAA-AHVRR mit SVAT-Modellen und hydrologischen Einzugsgebietsmodellen Die Validierung dieser Methoden wurde in verschiedenen Messkampagnen wie z.B. Lo-trex10E-HIBE, FIFE oder HAPEX-Sahel durchgeführt. Dabei wurde die aus dem entspre-chenden Sensor abgeleitete ETr mit gemessenen ETr-Raten von Ankerstationen innerhalb eines definierten Gebietes verglichen. Diese Ankerstationen leiteten die ETr aus Profil-, Ed-dy-Flux-, oder Szintillometermessungen ab. Durchgängige längere Zeitreihen der ETr sind nur mit FE-Daten mit hoher Wiederholungsrate wie z.B. NOAA-AVHRR, MODIS hoher Zeitauflösung möglich Mit Landsat-TM z.B. ergeben sich dagegen nur „Snap Shots“ der ETr von einzelnen Tagen. Daher wurden oftmals Multisensorverfahren d.h. Kombination von z.B. Landsat-TM mit NOAA-AVHRR eingesetzt oder die FE-Daten nur für die Erhebung zeitin-varianter Eingangsdaten (z.B. Landnutzung) und zur raumbezogenen Validierung der ETr-Berechnungen von hydrologischen Modellen verwendet. Im zweiten Teil des Vortrags wird ein Anwendungsbeispiel für den Versuch einer räumliche Validierung eines Wasserhaus-haltsmodells über NDVI-ETr-Datenprodukte aus Landsat-TM5-Daten für das Stobbergebiet. Ein weiteres Anwendungsbeispiel für die Einbindung von Landnutzungsdatenprodukten aus Landsat-TM5-Daten in die Wasserhaushaltmodellierung für das Ucker-Einzugsgebiet schliesst den Vortrag ab.
Dokument 1: Foliensatz | Dokument 2: Abstract
Interdisziplinäres Zentrum für Musterdynamik und Angewandte Fernerkundung Workshop vom 9. - 10. Februar 2006 Y1 - 2006 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-7050 ER - TY - CHAP A1 - Schulz, Karsten T1 - Die Bedeutung räumlicher Strukturen und Muster für das hydrologische Prozessgeschehen N2 - Der Referent ist stellvertretender Leiter des Departments Angewandte Landschaftsökologie des UFZ - Umweltforschungszentrum Leipzig-Halle am Fachbereich Umweltsystemmodellierung
Interdisziplinäres Zentrum für Musterdynamik und Angewandte Fernerkundung Workshop vom 9. - 10. Februar 20066 Y1 - 2006 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-7087 ER -