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  • Data  (25)
  • Remote Sensing
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  • 1
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    Data assimilation for numerical weather prediction (2011)
    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Details
    Publication Date: 2022-01-12
    Description: Abstract
    Description: The availability and the appropriate use of accurate and widespread observational information are of paramount importance in order to increase the accuracy of weather forecasts. Data assimilation techniques provide a framework to find the best initial state that is consistent with all available information about the state of the system, here considered to be the Earth’s atmosphere. In this paper, a brief introduction to both variational and ensemble based data assimilation is provided, with a focus on the main characteristics of satellite data assimilation and some of its current issues.
    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. 93-99
    Keywords: Other ; None ; Data Assimilation ; Numerical Weather Prediction ; Remote Sensing
    Type: Text , Book Section
    Format: 1906 Kilobytes
    Format: 7 Pages
    Format: PDF
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  • 2
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    KOMPSAT-2 geometric quality assessment for measuring the area of European land parcels (2011)
    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Details
    Publication Date: 2022-01-12
    Description: Abstract
    Description: Measurement errors in orthorectified images are very important when it comes to checking the subsidies claims made by European farmers. The Control with a Remote Sensing (CwRS) Programme, managed by the GeoCAP and CID actions of the Monitoring Agricultural Resources Unit of the EC Joint Research Centre (JRC), requires the establishment of guidelines to be applied by Member States when using remotely sensed images to verify farmers’ claims under the EU Common Agriculture Policy (CAP) subsidies. The area of land parcels used for farming are verified based on very fine spatial resolution (VHR) orthoimages that must meet specific geometric and visual qualities. As such, all VHR orthoimages used within this context must meet or exceed the EU standard as reported in Kapnias et al. (2008), based on external quality control (EQC). EQC is based on the root mean square error (RMSE) between the true geographic position and the image position of the independent check points (ICPs). The ICPs are points not included in the sensor model parameter estimation process and are derived from an independent source, preferably of higher accuracy. This report presents the applied EQC methodology and the geometric quality results recorded for the four samples of the KOMPSAT-2 (K2) radiometrically corrected images (processing level 1R), acquired over the JRC Maussane Test Site. The key issues identified during the testing based on the limited KOMPSAT-2 sample images that were made available to us are as follows: (a) The 1D RMS errors measured on the final K2 orthoimage after the single scene correction applying either the PCI rigorous model, the PCI RPC-based or the ERDAS RPC-based model are not sensitive to the number of GCPs used if they are well-distributed and range between 9 and 15 (provided a DTM with 0.6 m vertical accuracy), and they are sensitive to the overall off-nadir angle and increase with increasing off-nadir angle, (b) The average 1D RMSE are 2.1 m and 4 m, while the maximum 1D RMSE values are 3.2 m and 6.2 m of easting and northing direction respectively, provided that a DTM with 0.6 m vertical accuracy and GCPs with mean RMSE-X (in X direction) and RMSE-Y (in Y direction) values of 0.6 m are used, and (c) The orthorectified KOMPSAT-2 images do not fall within the accuracy criteria of the CwRS 1:10000 scale requirements, i.e. an absolute 1D RMSE not exceeding 2.5 m, except where the images are characterized by an overall off-nadir angle close to zero degrees, and the rigorous model or first order Rational Polynomial sensor model is applied.
    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. 109-115
    Keywords: Other ; None ; Remote Sensing Methods ; Remote Sensing
    Type: Text , Book Section
    Format: 1127 Kilobytes
    Format: 7 Pages
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  • 3
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    Geospatial evaluation of UNESCO world heritage forest areas in the tropics (Honduras) (2011)
    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Details
    Publication Date: 2022-01-12
    Description: Abstract
    Description: The study aimed at providing a better understanding for monitoring the status, change and threats to UNESCO world heritage areas that are present in the tropical forest. Three change detection techniques were tested using Landsat images for detecting areas of change in the region of the Rio Platino Biosphere Reserve, a tropical rain forest in Honduras. The change detection techniques considered were image differencing, post-classification analysis using supervised classification and vegetation index differencing (NDVI differencing). Two Landsat scenes recorded in January 1986 and December 2002 were downloaded from USGS. Images were geometrically and radiometrically corrected and the three change detection techniques were tested. Change maps obtained from each technique were visually interpreted. In order to determine the accuracy of each change map, random points were generated using systematic sampling. For each random point, change/no change was separately evaluated by using high resolution data (Google Earth data) and a confusion matrix method. Image differencing for band 2 was found to be the most accurate one, followed by supervised classification and NDVI. Image differencing using band 3 was found to be less accurate than supervised and NDVI differencing. Supervised classification was selected for calculating area statistics inside and outside the UNESCO protected boundary because of the advantage of indicating the nature of changes. The study revealed two important changes in clear-cut areas and in regrowth areas. Clear-cutting has been found to be more frequent outside than inside the protected boundary of the forested UNESCO World Heritage Site.
    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. 71-78
    Keywords: Other ; None ; Landsat ; Classification ; NDVI ; Remote Sensing
    Type: Text , Book Section
    Format: 677 Kilobytes
    Format: 8 Pages
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  • 4
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    Close-range sensing for generating 3D objects in Prehistoric Archaeology (2011)
    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Details
    Publication Date: 2022-01-12
    Description: Abstract
    Description: Prehistoric archaeology is an object-oriented discipline. Archaeological objects like stone tools, bone tools or pieces of mobile art embed human behaviour. A central task of prehistoric research is to decode this information in order to reconstruct ancient human behaviour. This premise affords a defined set of tools for analysis and documentation to describe and evaluate particularly the shape of the object and its surface modifications manufactured by humans. Basis for all types of analysis is therefore a precise visual description of the object. This documentation forms part of the scientific process and should follow a generally accepted convention. Only when these rules are respected, a standardised and reproducible recognition of the object becomes possible.
    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. 117-120
    Keywords: Other ; None ; Surface ; Remote Sensing
    Type: Text , Book Section
    Format: 3909 Kilobytes
    Format: 4 Pages
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  • 5
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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
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  • 6
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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
    Details
    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
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  • 7
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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
    Details
    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
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  • 8
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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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  • 9
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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
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  • 10
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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
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  • 11
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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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  • 12
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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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  • 13
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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
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  • 14
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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
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  • 15
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    LIDAR-based remote sensing for archaeological applications (2011)
    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
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    Publication Date: 2022-01-12
    Description: Abstract
    Description: The Airborne Laser Scanning (ALS) technology, also referred to as LIDAR (Light Detection And Ranging), represents the most relevant advancement of Earth Observation (EO) techniques applied to archaeological research in the last decade. It allows us to overcome some limits of satellite optical remote sensing in detecting archaeological remains covered by dense vegetation as well as microrelief of cultural interest in bare-ground sites. Currently, a LIDAR survey can be carried out by using two different types of ALS sensor systems: (i) conventional scanners or discrete echo scanners, and (ii) Full-Waveform (FW) scanners. The first one generally delivers only the first and last echo, thus losing many other reflections. The second one is able to detect the entire echo waveform for each emitted laser beam, thus offering improved capabilities especially in areas with complex morphology and/or dense vegetation cover. This paper shows the results obtained by processing point clouds taken from FW scanners for two emblematic study cases in Southern Italy. The first one is the abandoned medieval village of Monte Serico, located on a bare-ground hilly plateau, the second one is the Bosco dellIncoronata. By using an approach based on the use and processing of different shaded Digital Terrain Models (DTMs), the study allowed us to improve the reconstruction of the urban fabric and the paleoenvironmental setting, respectively.
    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. 79-91
    Keywords: LIDAR ; Remote Sensing
    Language: English
    Type: Text , Workshop paper
    Format: 2389 Kilobytes
    Format: 13 Pages
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  • 16
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    Data Management at the ICSU/WMO World Data Center for Remote Sensing of the Atmosphere (WDC-RSAT) (2010)
    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
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    Publication Date: 2022-01-14
    Description: Abstract
    Description: WDC-RSAT is hosted and operated by the German Remote Sensing Data Center, DFD of the German Aerospace Center (DLR) under the nongovernmental auspices of the International Council for Science (ICSU) and is the most recent data center in the WMO-WDC family, in cooperation with the World Meteorological Organization (WMO). WDC-RSAT cooperates with partners in establishing and making use of modern information technologies (e.g. Grid) in order to promote networking. It is already being implemented as a data publication agent for data related to remote sensing of the atmosphere and is thus authorized to assign so-called Digital Object Identifiers (DOI) to data sets. The German ICSU WDCs (WDC-Climate, WDC-Mare, WDC-Terra, and WDC-RSAT) have formed in 2004 the 'WDC-Cluster on Earth System Research' in order to promote interdisciplinary research related to Earth sciences. Following the recommendations of the Committee of Earth Observation Satellites (CEOS), WDC-RSAT is currently establishing in cooperation with NASA a portal for satellite-based atmospheric composition data (ACC) which ultimately will be integrated in the Global Earth Observation System of Systems (GEOSS).
    Description: SeriesInformation
    Description: Proceedings of the Data Management Workshop, 29-30 October 2009, University of Cologne, Germany, Kölner Geographische Arbeiten, 90, pp. 119-125
    Keywords: Data Management ; Metadata ; Remote Sensing ; Atmosphere
    Language: English
    Type: Text , Workshop paper
    Format: 495 Kilobytes
    Format: 7 Pages
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  • 17
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    Using partial least squares (PLS) to estimate canopy nitrogen and biomass of paddy rice in Chinas Sanjiang Plain (2014)
    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
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    Publication Date: 2022-01-14
    Description: Abstract
    Description: Nitrogen (N) is one of the most essential elements in agriculture and ecology due to its direct role in determining crop yield and grain quality, as well as its association with canopy photosynthetic capacity and carbon-nitrogen cycling in the earth ecosystem. Remote sensing provides a useful way to capture canopy nitrogen and biomass with high spatial and temporal resolution. However, seasonal dynamics of plant morphophysiological variation hinder the simultaneous estimation of canopy N concentration (%N) and biomass using a traditional method such as vegetation indices because of the distinct dynamics of canopy biochemical and physical traits. In contrast, multivariate analysis method offers the capability of calibrating a model with multiple dependent variables of interest. Therefore, the main objective of this study was to, simultaneously, estimate canopy %N and biomass of rice using the partial least squares regression (PLSR) model. A field experiment was conducted for paddy rice fertilized with five N rates across five growth stages in 2008, located in the Sanjiang Plain, China. Results showed that the PLS regression model simultaneously explained 84% and 91% of the variation in %N and biomass, respectively, across the five growth stages. Our results also suggest that biomass is the dominant factor that affects the link between canopy dynamical traits and canopy reflectance measures. This study demonstrates that, by incorporating with PLSR for retrieving biophysical and biochemical properties from the full-spectrum analysis, to what extent canopy %N and biomass can be simultaneously estimated from canopy reflectance measurement.
    Keywords: Nitrogen ; Biomass ; Hyperspectral ; Remote Sensing ; Agriculture ; 550 Earth sciences
    Language: English
    Type: Text , Workshop paper
    Format: 5 Pages
    Format: 1130 Kilobytes
    Format: application/pdf
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  • 18
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    Integrated water vapor (IWV TH90) March 2018 - March 219 at Iquique (2022)
    CRC1211 Database (CRC1211DB)
    Details
    Publication Date: 2022-02-10
    Description: Abstract
    Description: Integrated water vapor above Iquique airport from March 2018 to March 2019 measured with Microwave radiometer HATPRO-FOGHAT. Retrieval is based on 20 Years of Radiosonde Data from Antofagasta. Radiosonde data has been preprocessed with a relative humidity threshold of 90% for cloud formation.
    Keywords: Climatology/Meteorology/Atmosphere ; Meteorology ; Remote Sensing ; Integrated water vapor (IWV)
    Type: Dataset , Dataset
    Format: NetCDF
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  • 19
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    Liquid water path (LWP TH80) March 2018 - March 219 at Iquique (2022)
    CRC1211 Database (CRC1211DB)
    Details
    Publication Date: 2022-02-10
    Description: Abstract
    Description: Liquid water path above Iquique airport from March 2018 to March 2019 measured with Microwave radiometer HATPRO-FOGHAT. Retrieval is based on 20 Years of Radiosonde Data from Antofagasta. Radiosonde data has been preprocessed with a relative humidity threshold of 80% for cloud formation.
    Keywords: Climatology/Meteorology/Atmosphere ; Meteorology ; Remote Sensing ; Cloud liquid water path (LWP)
    Type: Dataset , Dataset
    Format: NetCDF
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    DATA GFZ
  • 20
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    Liquid water path (LWP TH85) March 2018 - March 219 at Iquique (2022)
    CRC1211 Database (CRC1211DB)
    Details
    Publication Date: 2022-02-10
    Description: Abstract
    Description: Liquid water path above Iquique airport from March 2018 to March 2019 measured with Microwave radiometer HATPRO-FOGHAT. Retrieval is based on 20 Years of Radiosonde Data from Antofagasta. Radiosonde data has been preprocessed with a relative humidity threshold of 85% for cloud formation.
    Keywords: Climatology/Meteorology/Atmosphere ; Meteorology ; Remote Sensing ; Cloud liquid water path (LWP)
    Type: Dataset , Dataset
    Format: NetCDF
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  • 21
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    integrated water vapor (IWV TH95) March 2018 - March 219 at Iquique (2022)
    CRC1211 Database (CRC1211DB)
    Details
    Publication Date: 2022-02-10
    Description: Abstract
    Description: Integrated water vapor above Iquique airport from March 2018 to March 2019 measured with Microwave radiometer HATPRO-FOGHAT. Retrieval is based on 20 Years of Radiosonde Data from Antofagasta. Radiosonde data has been preprocessed with a relative humidity threshold of 95% for cloud formation.
    Keywords: Climatology/Meteorology/Atmosphere ; Meteorology ; Remote Sensing ; Integrated water vapor (IWV)
    Type: Dataset , Dataset
    Format: NetCDF
    Location Call Number Expected Availability
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    DATA GFZ
  • 22
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    Liquid water path (LWP TH90) March 2018 - March 219 at Iquique (2022)
    CRC1211 Database (CRC1211DB)
    Details
    Publication Date: 2022-02-10
    Description: Abstract
    Description: Liquid water path above Iquique airport from March 2018 to March 2019 measured with Microwave radiometer HATPRO-FOGHAT. Retrieval is based on 20 Years of Radiosonde Data from Antofagasta. Radiosonde data has been preprocessed with a relative humidity threshold of 90% for cloud formation.
    Keywords: Climatology/Meteorology/Atmosphere ; Meteorology ; Remote Sensing ; Cloud liquid water path (LWP)
    Type: Dataset , Dataset
    Format: NetCDF
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  • 23
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    Wind profiles March 2018 - March 2019 from remote sensing at Iquique (2019)
    CRC1211 Database (CRC1211DB)
    Details
    Publication Date: 2022-02-10
    Description: Abstract
    Description: Wind profiles from March 2018 - MArch 2019 from Doppler Wind Lidar installed at Iquique airport.Wind speed and direction were derived from the VAD-24 scans performed every 15minutes. Error estimates (variables delta_* in the netcdf files) are based on turbulence from vertical stare measurements.
    Keywords: Climatology/Meteorology/Atmosphere ; Meteorology ; Remote Sensing ; LiDAR ; Wind speed ; Wind direction
    Type: Dataset , Dataset
    Format: NetCDF
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    DATA GFZ
  • 24
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    Liquid water path (LWP TH95) March 2018 - March 219 at Iquique (2022)
    CRC1211 Database (CRC1211DB)
    Details
    Publication Date: 2022-02-10
    Description: Abstract
    Description: Liquid water path above Iquique airport from March 2018 to March 2019 measured with Microwave radiometer HATPRO-FOGHAT. Retrieval is based on 20 Years of Radiosonde Data from Antofagasta. Radiosonde data has been preprocessed with a relative humidity threshold of 95% for cloud formation.
    Keywords: Climatology/Meteorology/Atmosphere ; Meteorology ; Remote Sensing ; Cloud liquid water path (LWP)
    Type: Dataset , Dataset
    Format: NetCDF
    Location Call Number Expected Availability
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    DATA GFZ
  • 25
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    Boundary layer classification from remote sensing at Iquique, March 2018 - March 2019 (2020)
    CRC1211 Database (CRC1211DB)
    Details
    Publication Date: 2022-02-25
    Description: Abstract
    Description: Classification of the state of the atmospheric boundary layer at Diego Aracena Aitport, Iquique, Chile. Profiles of vertical and horizontal wind speed and backscatter coefficient (measured with a Doppler Wind Lidar) as well as thermal stratification at the surface (Thermo-Hygrometers at ~1m and ~2m height) are used to identify height regions without and with turbulence, clouds and precipitation . In a second step the sources of this turbulence are identified (clouds, surface heating or wind shear). For details of the method see Manninen, A., T. Marke, E. O'Connor, and M. Tuononen, 2018: Atmospheric boundary layer classification with Doppler lidar, J. Geophys. Res. , 123, DOI:10.1029/2017JD028169. For daily plots see: http://tiny.cc/iqq_cn_bl_class
    Keywords: Climatology/Meteorology/Atmosphere ; Meteorology ; Remote Sensing ; LiDAR ; Stratocumulus ; Wind ; Clouds
    Type: Dataset , Dataset
    Format: NetCDF
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    DATA GFZ
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