Multi-sensor data acquisition for assessing the condition of vegetation

Stemmler, Simon; Wiedenmann, Dominic

doi:10.1117/12.2599758

Cited by 3 publications

(2 citation statements)

References 5 publications

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“… ( a ) Absorbance of N 2 O and H 2 O concentrations in synthetic air as a function of wavenumber (similar to publication [ 23 ]). ( b ) Laser current of the QCL (blue) and the acquired detector signal (green) as function of time.…”

Section: Methodsmentioning

confidence: 99%

A Portable Laser Spectroscopic System for Measuring Nitrous Oxide Emissions on Fertilized Cropland

Stiefvater,

Hespos,

Wiedenmann

et al. 2023

Sensors

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Nitrous oxide (laughing gas, N2O) is a relevant greenhouse gas. Agriculture contributes significantly to its emissions. As nitrogen fertilization has been identified as one of the main sources of N2O, controlled application and reduction of the amount of fertilizer adapted to crop demand is essential to reduce N2O emissions. This requires detailed studies of the local distribution of the N2O emission fluxes on different croplands. Consequently, frequent spatially resolved field measurements of N2O concentrations are needed. A precision in the ppb range close to the ambient N2O level of 333 ppb is necessary. Tunable laser absorption spectroscopy using quantum-cascade lasers (QCL) as a light source is an established technique for the measurement of N2O traces. We present the development and validation of a compact portable setup for on-site measurement of N2O emissions from the soil. The setup differs from previous solutions by using an interband cascade laser (ICL), which has significantly lower power consumption compared to a QCL. The portable measurement setup allows N2O emission fluxes to be determined with a precision of 3.5% with a measuring duration of 10 min. The developed system enables the detection of increased N2O emissions because of the fertilization of fields. High N2O emission fluxes are indicators of the overfertilization of the field. Directly after fertilization, N2O fluxes between 2.9 and 5.3 µL m−2 min−1 depending on the gas acquisition site are measured during the field tests. Over time, the fluxes decrease. The obtained results compare well with data from more precise but also more complex and maintenance-intensive instruments for atmospheric research. With this system, the soil moisture as well as the air humidity and air temperature are recorded. Strong influences on N2O fluxes by soil moisture were observed. The presented measurement system is a contribution to the establishment of mobile N2O screening systems that are robust in the field and suitable for comprehensive and routine detection of N2O emissions from soil.

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Section: Methodsmentioning

confidence: 99%

A Portable Laser Spectroscopic System for Measuring Nitrous Oxide Emissions on Fertilized Cropland

Stiefvater,

Hespos,

Wiedenmann

et al. 2023

Sensors

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“…In order to be able to merge the point clouds of the LiDAR system and the photogrammetric point clouds, ground control points (GCP) were laid out and measured using differential GNSS. Using the GCP, it is possible to merge and homogenize both point clouds and georeference them in the same step [6].…”

Section: Methodsmentioning

confidence: 99%

Multisource-data-fusion for the digitization of critical infrastructural elements

Stemmler

Kaufmann²,

Bange³

et al. 2022

Remote Sensing Technologies and Applications in Urban Environments VII

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Due to the relatively high average age of the rail infrastructure in Germany and the thus often historic plans, as-built documentation has a very high priority at Deutsche Bahn AG. The inventory and updating of existing plans represent an enormous challenge for the operator, DB Netz AG. More than 4.6 million inventory plans must be continuously checked to ensure that they are up to date,correct,adjusted and supplemented as necessary. The most fragile structures are railroad bridges. These are the focus of this paper. For now, all information of bridges such as planning documents, statics, status reports of bridge examination, etc. are collected in decentral locations of the owner or operator. The existing information is available in a wide variety of formats, e.g. pdf files, plans on paper, scanned paper plans, digitally created plans, SAPdata and photos. We tackled this problem of non-uniform and decentralized data management within the mdfBIM project. Within the scope of this project, a process model was developed that describes the merging of the various data sources in the planning process and attempts to identify the primary data source in each case. The validation and adaptation of this model was carried out continuously after it had been set up based on a railway bridge in Hannover, Germany. We used machine learning algorithms to enable an automated object classification for the most common objects to derive the highest possible degree of automation. Another important step towards automation was the consolidation of the numerous data sources. This existing, inhomogeneous data was homogenized in a defined process. During this homogenization, the data sets -ranging from existing as-built plans, photo documentation, maintenance and conversion reports, SAP extracts, construction books and construction plans to the newly recorded laser point cloud -was evaluated. In this paper; the complete process chain and the first results are presented. Furthermore, an outlook is given on further research tasks and the further development of the elaborated process chain.

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Teilautomatisierte Generierung von digitalen Infrastrukturmodellen mittels Multi‐Datenfusion

Jäkel,

Gölzhäuser,

Schmitt

et al. 2023

Bautechnik

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Die Eisenbahninfrastruktur besitzt eine hohe Signifikanz für Wirtschaft und Gesellschaft. Das Durchschnittsalter der Eisenbahnbrücken in Deutschland liegt bei etwa 75 Jahren. Entsprechend ist auch die Bestandsdokumentation der Bauwerke historisch bzw. veraltet. Für den Anlagenbetreiber stellt die Inventarisierung, Aktualisierung und Bereitstellung von mehr als 4,6 Millionen Bestandsplänen eine enorme Herausforderung dar. Zudem benötigt die Generation von digitalen Modellen der Brückenbauwerke viele Ressourcen. Diese Faktoren stellen ein gravierendes Problem für ein qualitatives und effizientes Erhaltungsmanagement dar. Im Rahmen des Forschungsprojekts mdfBIM wird eine teilautomatisierte Methode zur Erstellung objektbasierter digitaler Modelle von Bestandsbrücken mittels Multi‐Datenfusion entwickelt. Für diese Methode wird ein ganzheitliches Prozessmodell erarbeitet und die Möglichkeiten einer teilautomatisierten Datenaufnahme und ‐verarbeitung hin zu einem BIM‐Modell als zentrale Datenbasis eruiert. Die Validierung des Ansatzes erfolgt anschließend an einem realen Demonstrator. Der Beitrag zeigt, wie ein teilautomatisierter Ansatz zur Digitalisierung von Bestandsbrückenbauwerken und die Schaffung einer einheitlichen Datengrundlage für das Instandhaltungsmanagement erfolgreich umgesetzt worden sind.

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Multi-sensor data acquisition for assessing the condition of vegetation

Cited by 3 publications

References 5 publications

A Portable Laser Spectroscopic System for Measuring Nitrous Oxide Emissions on Fertilized Cropland

A Portable Laser Spectroscopic System for Measuring Nitrous Oxide Emissions on Fertilized Cropland

Multisource-data-fusion for the digitization of critical infrastructural elements

Teilautomatisierte Generierung von digitalen Infrastrukturmodellen mittels Multi‐Datenfusion

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