6 documents found in 125ms
# 1
Tilly, Nora • Hoffmeister, Dirk • Aasen, Helge • Brands, Jonas • Bareth, Georg
Abstract: Research in the field of precision agriculture is becoming increasingly important due to the growing world population whilst area for cultivation remains constant or declines. In this context, methods of monitoring in?season plant development with high resolution and accuracy are necessary. Studies show that terrestrial laser scanning (TLS) can be applied to capture small objects like crops. In this contribution, the results of multi-temporal field campaigns with the terrestrial laser scanner Riegl LMS-Z420i are shown. Four surveys were carried out in the growing period 2012 on a field experiment where various barley varieties were cultivated in small-scale plots. In order to measure the plant height above ground, the TLS-derived point clouds are interpolated to generate Crop Surface Models with a very high resolution of 1 cm. For all campaigns, a common reference surface, representing the Digital Elevation Model was used to monitor plant height in the investigated period. Manual plant height measurements were carried out to verify the results. The very high coefficients of determination (R² = 0.89) between both measurement methods show the applicability of the approach presented. Furthermore, destructive biomass sampling was performed to investigate the relation to plant height. Biomass is an important parameter for evaluating the actual crop status, but non-destructive methods of directly measuring crop biomass do not exist. Hence, other parameters like reflectance are considered. The focus of this study is on non-destructive measurements of plant height. The high coefficients of determination between plant height and fresh as well as dry biomass (R² = 0.80, R² = 0.77) support the usability of plant height as a predictor. The study presented here demonstrates the applicability of TLS in monitoring plant height development with a very high spatial resolution.
# 2
Hoffmeister, Dirk • Curdt, Constanze • Tilly, Nora • Bendig, Juliane
Abstract: 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.
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
# 3
Hoffmeister, Dirk • Bendig, Juliane • Waldhoff, Guido
Abstract: 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.
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
# 4
Hoffmeister, Dirk • Gelhar, Martina • Willmes, Christian • Steffens, Ricarda • Louwen, Britta • (et. al.)
Abstract: The European Mining Database for North Rhine Westphalia (EMD-NRW) has the objective to present information about the industrial heritage of mining in a GIS-based web portal. Especially in the area of North Rhine Westphalia (Germany) larger coal reserves were important for the development of the industry and particularly influenced the landscape. Concerning the increasing abandonment of these objects and the loss of the cultural industry objects, the preservation of information and the relations between these objects is important. The EMD-NRW system is capable of representing the complex, hierarchical structure of archive data and connecting this data to their geographical location. Several technologies are used to share this information in a web portal. Therefore, comprehensive information is available about every object. All objects are spatially referenced and can be visualized in a map. It is possible to connect the system to other projects by the use of open, compliant techniques. For beginners and experts information are easy to retrieve because of an intuitive design of the graphical user interface.
Proceedings of the Data Management Workshop, 29-30 October 2009, University of Cologne, Germany, Kölner Geographische Arbeiten, 90, pp. 75-81
# 5
Bolten, Andreas • Hoffmeister, Dirk • Willmes, Christian • Bubenzer, Olaf • Bareth, Georg
Abstract: The data management concept of the CRC/TR 32 'SVA-Patterns' (Curdt et al. 2008, 2010) offers a perfect tool to store and manage the data of an interdisciplinary research project. The focus here is on data management of soil (S), vegetation (V) and atmosphere (A) data for SVA-modelling purpose for a distinct watershed, the Rur-Catchment in Western Germany. The presented paper reflects the possibility and the adapting steps to transfer the concept to another interdisciplinary project. However, the technical transfer of the framework of the database is evident but the system needs to be adapted to the requirements of the benefit project. The Collaborative Research Centre (CRC) 806 'Our Way to Europe' performs a totally different investigation question and area, to capture the major intercontinental and transcontinental events of dispersal of modern man from Africa to central Europe. Therefore, other data formats and data amount occurs and other demands on the data management system are made. The paper identifies three spheres of action to adapt the concept to the CRC 806. (i) The integration of external databases to afford both, the transfer of data to other data management systems and to provide an interface to allow requests of external databases. (ii) The visualization of 3D-data in a web mapping application. (iii) The possibility for external and internal users to use geoprocessing tools to perform analysis based on the geodata in a web mapping application.
Proceedings of the Data Management Workshop, 29-30 October 2009, University of Cologne, Germany, Kölner Geographische Arbeiten, 90, pp. 7-11
# 6
Curdt, Constanze • Hoffmeister, Dirk • Jekel, Christian • Udelhoven, Krischan • Waldhoff, Guido • (et. al.)
Abstract: Centralized storage and exchange of data is a key issue of interdisciplinary research projects particularly if they focus on environmental field studies and regional modelling. Furthermore, the overall success of such projects depends on a well organized data management and data exchange between all involved disciplines. This includes the organization of data, the implementation of a database and the maintenance of such a system for intensive data exchange between the project sections. This paper presents the implementation of a centralized data management system for the Transregional Collaborative Research Centre 32: 'Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling, and Data Assimilation' funded by the German Research Foundation. The design is a combination of file management, database, and online-interface including web mapping functionalities.
Proceedings of the Data Management Workshop, 29-30 October 2009, University of Cologne, Germany, Kölner Geographische Arbeiten, 90, pp. 27-33
spinning wheel Loading next page