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  • Data  (26)
  • Published Data from GFZ  (26)
  • Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten  (26)
  • 11
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    Prospection of karstic caves using GIS and remote sensing techniques for geoarchaeological research, NE-Morocco (2011)
    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Details
    Publication Date: 2022-01-12
    Description: Abstract
    Description: Caves and rock shelters are important archives for archaeological research. Prehistoric men not only sheltered in caves but also set up camps in open-air locations. Over the last 15 years a joint research group, comprising INSAP (Institut National des Sciences de l’Archéologie et du Patrimoine du Maroc), KAAK (Kommission für Archäologie Außereuropäischer Kulturen, German Archaeology Institute) and the University of Cologne, has been carrying out surveys and excavations in the area of the Eastern Rif (NE-Morocco). Huge parts of the vast working area are poorly accessible and it is now realised that the whole area can only be covered using a remote sensing approach.The aim of this project is to integrate high resolution topographical, visual and geological data in order to develop models so that site locations can be predicted. Information from remote sensing (satellite image) and Geographic Information System (GIS) is used to identify an area in which carstic caves can occur and caves featuring archaeological remains may be located. The intersection of geological and topographical maps with QuickBird satellite imagery can then be used to quantify different features of identified caves. Based on the partially existing fans of sediment in front of the carstic caves, potential locations of caves in the defined area could be discovered.
    Description: SeriesInformation
    Description: Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling, 18-19 November 2010, University of Cologne, Germany, Kölner Geographische Arbeiten, 92, pp. 121-129
    Keywords: Other ; None ; GIS ; Remote Sensing Methods ; Remote Sensing
    Type: Text , Book Section
    Format: 26396 Kilobytes
    Format: 9 Pages
    Format: PDF
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  • 12
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    Settlement process studies in developing countries using diverse remote sensing data types (2011)
    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
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    Publication Date: 2022-01-12
    Description: Abstract
    Description: A typical situation in many developing countries is sparse data availability. Thus, many issues of applied research need to be tackled in spite of poor data disposability. We exemplify these issues in the coastal area of Benin in Western Africa by a time series using a grey scale aerial image (1995), QuickBird data (2002), and a colour aerial image (2007, scale 1:20000). Coastal regions are in general areas of high attraction worldwide. Due to migration and population growth, the coastal zone of Benin, like in other developing countries, encounters extreme land use pressure, causing conflicts of interest and fast changes. Especially settlement structures show high dynamics. In order to study these, dwellings need to be detected. The multitude of appearances of dwellings makes process analysis based on remotely sensed data a challenging – yet interesting – task. This paper shows how to analyse settlement processes in developing countries with heterogeneous remote sensing data sets, combining remote sensing with pattern recognition and GIS. At first, building detection was accomplished by manual digitization. In the next step, we made an initial attempt to develop automated methods for detecting dwellings. Both approaches for building detection were then followed by GIS-based process analysis. Finally, a comparison of both detection approaches based on quality assessments is presented and a thorough evaluation of the usability of automation is given.
    Description: SeriesInformation
    Description: Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling, 18-19 November 2010, University of Cologne, Germany, Kölner Geographische Arbeiten, 92, pp. 131-142
    Keywords: Other ; None ; Change Detection ; Remote Sensing ; Remote Sensing Methods
    Type: Text , Book Section
    Format: 1601 Kilobytes
    Format: 12 Pages
    Format: PDF
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  • 13
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    A novel object-level change detection method based on multi-scale image segmentation (2011)
    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
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    Publication Date: 2022-01-12
    Description: Abstract
    Description: Aiming to improve object fragmentation and poor detection results caused by discontinuous segmentation scales in object-level change detection, a new object-level change detection method based on multi-scale segmentation is presented in this paper. Firstly, a convexity model concept to describe target- background characteristics is proposed. This model is used to implement the convexity model-based multi-scale image segmentation, in order to overcome the shortcoming that traditional single-scale image segmentation can hardly synchronously extract the objects within different scales. And then, a change detection approach by analyzing structural characteristics of image objects is introduced, in order to detect the man-made object. Experiments show that the new method is robust and that it provides an advanced tool for quantitative change detection.
    Description: SeriesInformation
    Description: Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling, 18-19 November 2010, University of Cologne, Germany, Kölner Geographische Arbeiten, 92, pp. 143-150
    Keywords: Other ; None ; Change Detection ; Multi-Scale ; Structure Analysis ; Remote Sensing ; Remote Sensing Methods
    Type: Text , Book Section
    Format: 2019 Kilobytes
    Format: 8 Pages
    Format: PDF
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  • 14
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    Potentials of Low-cost Mini-UAVs (2011)
    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Details
    Publication Date: 2022-01-12
    Description: Abstract
    Description: The trend to minimize electronic devices also accounts for sensing and sensor technologies. In combination with the developments in the construction of low-weight unmanned airborne vehicles (UAVs), this enabled in the last years a new research and application field of low-cost and low-weight UAVs carrying all kind of sensors such as multi-spectral, hyperspectral, laserscanning, microwave, and thermal imaging devices. In the same period, the demand for local high resolution data in a spatial, temporal, and spectral context increased exponentially for all kinds of applications. Low-cost and low-weight UAVs can exactly acquire such data. Hence, it is no surprise that the deployment of Mini-UAVs in the field of environmental monitoring, agriculture, facility management and many more is growing fast.
    Description: SeriesInformation
    Description: Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling, 18-19 November 2010, University of Cologne, Germany, Kölner Geographische Arbeiten, 92, pp. 1-8
    Keywords: Other ; None ; UAV ; Sensor ; Imaging ; Remote Sensing
    Type: Text , Book Section
    Format: 1324 Kilobytes
    Format: 8 Pages
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  • 15
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    3D terrestrial laser scanning for field crop modelling (2011)
    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Details
    Publication Date: 2022-01-12
    Description: Abstract
    Description: Terrestrial laser scanning provides highly accurate and dense 3D measurements of an object. This technology leads to several applications, for example in topographic surveys, forestry, and as-built documentation. Few developments exist in the area of agriculture and precision farming. In this contribution, multi-temporal 3D terrestrial laser scanning was applied for field crop modelling. The time-of-flight laser scanner Riegl LMS-Z420i was used three to five times per year to estimate plant height distribution of the field crops winter wheat, spring barley, and sugar beet. In 2008 and 2009, the area under investigation was a single field. As a further development, data from plots with different crop varieties of barley and sugar beet were analysed in 2010. As a result, within-field variability was detected by using crop surface models (CSM) and crop volume models (CVM). Single plants were successfully detected. The results will be compared with additional data in the future.
    Description: SeriesInformation
    Description: Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling, 18-19 November 2010, University of Cologne, Germany, Kölner Geographische Arbeiten, 92, pp. 25-30
    Keywords: Other ; None ; Agriculture ; Crop/s ; Terrestrial Laser Scanning ; Surface ; Remote Sensing
    Type: Text , Book Section
    Format: 11857 Kilobytes
    Format: 6 Pages
    Format: PDF
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  • 16
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    Evaluating airborne laser scanning data for generation of digital elevation models and land cover mapping (2011)
    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Details
    Publication Date: 2022-01-12
    Description: Abstract
    Description: Full-Waveform airborne laser scanning (ALS) is a novel method for observing the earth surface. It is suitable for the extraction of digital elevation models (DEM) and for estimating, for example buildings, single trees, and wooded areas, as 3D information. In this contribution, the processing of data from a flight survey with Riegl’s LMS-Q560 on 30 July 2008 is described. The accuracy of the extracted data was determined by comparison with official geodata and remote sensing data. For example, DEMs of the state survey office and land use classifications from satellite data were used. These data sets and the flight survey were realized within the Transregional Collaborative Research Centre 32 (CRC-TR32) 'Patterns in Soil-Vegetation-Atmosphere-Systems', which monitors patterns and fluxes in the Rurwatershed in Western Germany. Workflow and the results of the ALS data comparison are discussed in detail. ALS is an important method for deriving DEMs. Furthermore, it is capable of determining more information about the earth’s surface in a very accurate way.
    Description: SeriesInformation
    Description: Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling, 18-19 November 2010, University of Cologne, Germany, Kölner Geographische Arbeiten, 92, pp. 31-38
    Keywords: Other ; None ; Airborne Laser Scanning ; DEM ; Land Cover Mapping ; Remote Sensing
    Type: Text , Book Section
    Format: 7344 Kilobytes
    Format: 8 Pages
    Format: PDF
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  • 17
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    Current flood mapping capabilities using synergies from radar altimetry and MODIS multi-spectral satellite imagery and the need for a SWOT mission (2011)
    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Details
    Publication Date: 2022-01-12
    Description: Abstract
    Description: In ungauged basins, space-based information is essential for the monitoring of the hydrological water cycle, in particular in regions undergoing large flood events where satellite data may be used as input to hydrodynamic models. A method for near 3D flood monitoring has been developed which uses synergies between radar altimetry and high temporal resolution multi-spectral satellites. Surface reflectances from the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra instrument are used to map areas of open water as well as aquatic vegetation on a weekly basis, while water level variations in the inundated areas are provided by the radar altimetry from the Topex/Poseidon (T/P) and Envisat satellites. We applied this synergistic approach to several regions across the world (Diamantina Floodplain in Australia, Inner Niger Delta and Lake Chad in Africa, Andean Altiplano in South America, and Ganga River Delta in Asia). Based mainly on optical and Near Infra Red (NIR) imagery for detecting the extent of inundation, this method is well adapted for arid and semi-arid regions, but less for equatorial or boreal ones due to cloud coverage. This work emphasises the limitations of current remote sensing techniques for full 3D description of water storage variability in ungauged basins, and provides a good introduction to the need and the potential use of the future Surface Water and Ocean Topography (SWOT) satellite mission.
    Description: SeriesInformation
    Description: Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling, 18-19 November 2010, University of Cologne, Germany, Kölner Geographische Arbeiten, 92, pp. 9-23
    Keywords: Other ; None ; MODIS ; Remote Sensing ; Hydrology
    Type: Text , Book Section
    Format: 4704 Kilobytes
    Format: 15 Pages
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  • 18
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    Sensor and data fusion technologies in archaeology (2011)
    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Details
    Publication Date: 2022-01-12
    Description: Abstract
    Description: Remote sensing in prehistoric archaeological research in North America has come to rely on geophysical techniques. This paper reviews their application and efficiency in exploring a group of late prehistoric sites in northern Mississippi. While most archaeologists agree that the use of multiple instruments enhances a geophysical survey, there has been little work done on exploring the potential of using multivariate statistics to integrate the resultant data. Two approaches to this challenge are explored.
    Description: SeriesInformation
    Description: Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling, 18-19 November 2010, University of Cologne, Germany, Kölner Geographische Arbeiten, 92, pp. 39-47
    Keywords: Other ; None ; Geophysical Survey ; Data Fusion ; Remote Sensing
    Type: Text , Book Section
    Format: 2155 Kilobytes
    Format: 9 Pages
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  • 19
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    Preface (2011)
    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Details
    Publication Date: 2022-01-12
    Description: Abstract
    Description: From 18th - 19th of November, 2010, the 'Workshop on Remote Sensing Methods for Change Detection and Process modelling' was held at the University of Cologne, Germany. This workshop was organized by the Working Group 5 'Methods for Change Detection and Process Modelling' within the Commission VII 'Thematic Processing, Modelling and Analysis or Remotely Sensed Data' of the International Society for Photogrammetry and Remote Sensing (ISPRS). Three research projects actively supported the workshop. The CRC/TR32 'Patterns in Soil-Vegetation-Atmosphere-Systems: Monitoring, Modelling, and Data Assimilation' as well as the CRC 806 'Our way to Europe: Culture-Environment Interaction and Human Mobility in the Later Quaternary', both Collaborative Research Centres of the German Research Foundation (DFG). Within the CROP.SENSe.net (funded by the German Federal Ministry of Education and Research, BMBF), sensor methods for monitoring crops are investigated. Finally, the workshop was supported by the International Centre for Agro-Informatics and Sustainable Development (ICASD), which was founded in cooperation with the China Agricultural University and the u CROP.SENSe.net University of Cologne. The goal of the workshop was to bring together scientific disciplines as disparate as geography, soil sciences, plant physiology, hydrology, meteorology, prehistory, archaeology, agronomy, remote sensing, and geoinformatics. The workshop was based on 14 invited talks and unusual long coffee breaks, parallel to poster sessions to encourage and support discussion. The diverse program attracted nearly 40 poster presentations and approximately 90 participants. The papers and abstracts of the workshop are summarized in the workshop proceedings.
    Description: SeriesInformation
    Description: Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling, 18-19 November 2010, University of Cologne, Germany, Kölner Geographische Arbeiten, 92, pp. III
    Keywords: Remote Sensing Methods ; Remote Sensing
    Language: English
    Type: Text , Workshop paper
    Format: 409 Kilobytes
    Format: 1 Pages
    Format: application/pdf
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  • 20
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    Microcopter-based colour infrared (CIR) close-range remote sensing as a subsidiary tool for precision farming (2011)
    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Details
    Publication Date: 2022-01-12
    Description: Abstract
    Description: Microcopters as a highly flexible and low-cost sensor platform provide new opportunities of data acquisition for various environmental and geoscientific purposes (e.g. environmental monitoring, forestry, geospatial data etc.). One promising field of application for this technique is precision farming. Thereby, the application of capital equipment like crop protection products (also fertilizer) can be adapted to the spatial and temporal dynamics of soil and population parameters to reduce costs and keep processes more environmentally-compatible. In this context, the objective of this project is to produce CIR photographs and other remote sensing products in the visible (VIS) and near infrared (NIR) range as classified input data for subsequent procedures of precision farming and for efficiency tests in a user-defined spatial and temporal resolution. Therefore a remotely controlled microcopter has been equipped with a modified compact digital camera now capable of taking images not only in the VIS but also in the ultraviolet (UV) and NIR spectra (about 320 nm to 1100 nm), depending on the applied optical filters. The aerial surveys are conducted with a microcopter which is capable of autonomously completing a GPS waypoint track specified by the user. The localizations of exposures, height above surface, the camera heading, and other parameters can be set up in advance using a flight software. The microcopter itself represents an ultraflexible multi-sensor platform, where the camera provides a modular setup for generating high-resolution aerial CIR photographs. The images obtained from the surveys are being rectified and subjected to object orientated texture analysis for supervised classifications regarding surface anomalies like albedo variations of green vegetation. The results are processed to generate accurate position data for the distinction of various vegetation types like weed and crop, or different states of vegetation health due to soil dryness, precipitation damages or pest infestation.
    Description: SeriesInformation
    Description: Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling, 18-19 November 2010, University of Cologne, Germany, Kölner Geographische Arbeiten, 92, pp. 49-54
    Keywords: Other ; None ; Vegetation ; Remote Sensing
    Type: Text , Book Section
    Format: 2303 Kilobytes
    Format: 6 Pages
    Format: PDF
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