Monitoring of the soil moisture regime of an earth-filled dam by means of electrical resistance tomography, close range photogrammetry, and thermal imaging

Zumr, David; David, Václav; Jeřábek, Jakub; Noreika, Nina; Krása, J.

doi:10.1007/s12665-020-09052-w

Cited by 18 publications

(8 citation statements)

References 38 publications

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“…Thermography is wide remote-sensing data acquisition and processing technology, often applying photogrammetric methods of measurement and results presentation. The thermal sensors are used in different scales and from different distances: from closerange [1,2] that can also be mounted on robots and integrated with other sensors [3], on UAV [4,5], aircrafts or satellites [6]. Thermal information can be captured by different means: by passive methods like typical IRT (infrared thermography) [7][8][9], and active methods such as pulse IRT [10,11] and lock-in thermography [12,13].…”

Section: Thermographymentioning

confidence: 99%

“…Thermal information can be captured by different means: by passive methods like typical IRT (infrared thermography) [7][8][9], and active methods such as pulse IRT [10,11] and lock-in thermography [12,13]. The thermal acquisition methods can also be divided according to: mono thermal sensors; multispectral cameras [5,14,15]; or multisensor systems [4,16]. The thermography is used for several objects and purposes.…”

Section: Thermographymentioning

confidence: 99%

“…UAV thermography is also applied for thermographic DTM generation [25,32], and crop field sensing [37]. In particular, it is used for: precision farming [14], soil moisture [5], leaf condition monitoring [29], and other earth observations: permafrost sensing [35], volcano activity monitoring [36], and even robust person detection [40].…”

Section: Uav Thermography Applicationmentioning

confidence: 99%

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Integration of Thermal and RGB Data Obtained by Means of a Drone for Interdisciplinary Inventory

Paziewska¹,

Rzonca

2022

Energies

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Thermal infrared imagery is very much gaining in importance in the diagnosis of energy losses in cultural heritage through non-destructive measurement methods. Hence, owing to the fact that it is a very innovative and, above all, safe solution, it is possible to determine the condition of the building, locate places exposed to thermal escape, and plan actions to improve the condition of the facility. The presented work is devoted to the technology of creating a dense point cloud and a 3D model, based on data obtained from UAV. It has been shown that it is possible to build a 3D point model based on thermograms with the specified accuracy by using thermal measurement marks and the dense matching method. The results achieved in this way were compared and, as the result of this work, the model obtained from color photos was integrated with the point cloud created on the basis of the thermal images. The discussed approach exploits measurement data obtained with three independent devices (tools/appliances): a Matrice 300 RTK drone (courtesy of NaviGate); a Phantom 4 PRO drone; and a KT-165 thermal imaging camera. A stone church located in the southern part of Poland was chosen as the measuring object.

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Section: Thermographymentioning

confidence: 99%

Section: Thermographymentioning

confidence: 99%

Section: Uav Thermography Applicationmentioning

confidence: 99%

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Integration of Thermal and RGB Data Obtained by Means of a Drone for Interdisciplinary Inventory

Paziewska¹,

Rzonca

2022

Energies

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“…Biass et al (2019) provided detail in characterizing the emplacement of a compound pāhoehoe lava flow using SfM photogrammetry techniques to visible and thermal data sets. Zumr et al (2020) utilized a combination of electrical resistivity tomography, close range photogrammetry, and unmanned aerial vehicle (UAV) thermal imaging techniques to detect specific superficial and internal structures of a historical earth-filled dam. A low-cost method was proposed to monitor Stromboli, a volcano in the Aeolian Islands of Italy using a unique 3D thermal photogrammetric modelling workflow.…”

Section: Introductionmentioning

confidence: 99%

Photogrammetric analysis of multispectral and thermal close-range images

Akçay

2021

Mersin Photogrammetry Journal

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PhotogrammetryRemote sensing Multispectral images Thermal images Close-range Sensors capable of multispectral and thermal imaging beyond visible bands offer many analysis possibilities for environmental monitoring. Different sensor images constitute an important source of information especially in the fields of agriculture, forestry, geology and energy. Photogrammetric studies have been affected by this development in recent years and have been used in the production of multispectral and thermal models besides the RGB model. However, due to geometric and radiometric resolution differences, it is difficult to combine or evaluate models produced from different types of sensors. In this study, the three-dimensional test field images obtained with RGB, multispectral and thermal sensors were oriented and modeled photogrammetrically. The accuracies of the control points on the produced models were compared and discussed. When the results are examined, control point accuracy was obtained as almost similar as in the RGB model after the orientation based on automatic feature matching. Automatic feature detection and matching in thermal images were not robustly produced due to low geometric resolution. For this reason, manual measurements were performed in thermal images, and the photogrammetric orientation and adjustment process was done accordingly. The fused evaluation approach considering RGB, multispectral and thermal images in one photogrammetric model was also implemented and discussed.

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“…In addition, the combined use of UAS-based measurements with geophysical methods is beneficial as limitations of each method can be assessed [23]. In particular, a combination of electrical resistivity tomography (ERT) measurements with other geophysical [24] and UAS-based results can help to more suitably interpret subsurface and surface conditions [25]. SfM approaches require the appropriate photogrammetric processing, which comprises the adequate reporting of the data quality, survey design, flight campaigns and processing [26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Riverine Sediment Changes and Channel Pattern of a Gravel-Bed Mountain Torrent

et al. 2020

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The alluvial channel of the Langgriesgraben (Austria) is a highly active geomorphic riverine subcatchment of the Johnsbach River with intermittent discharge and braided river structures. The high sediment yield entails both issues and opportunities. For decades, the riverbed was exploited as a gravel pit. Today, as part of the Gesäuse National Park and after renaturation, the sediment yield endangers a locally important bridge located at the outlet of the subcatchment. High-resolution geospatial investigations are vital for the quantification of sediment redistribution, which is relevant in terms of river management. Based on unmanned aerial system (UAS) surveys in 2015 (July, September, and October) and 2019 (August and October), high-resolution digital elevation models (DEMs) were generated, which enable us to quantify intra- and multiannual sediment changes. As surface runoff at the subcatchment occurs on only a few days per year with flash floods and debris flows that are not predictable and thus hardly observable, the subsurface water conditions were assessed based on electrical resistivity tomography (ERT) measurements, which were conducted in 2019 (November) and 2020 (May, June). Results of the UAS-based surveys showed that, considering the data quality, intra-annual sediment changes affected only small subareas, whereas multiannual changes occurred in the entire study area and amount to net sediment deposition of ≈0.3–0.4 m3m−2, depending on the channel section. In addition, the elevation differences for both intra-annual surveys revealed linear patterns that can be interpreted as braided river channels. As in both survey periods the same areas were affected by changes, it can be concluded that the channel mainly affected by reshaping persisted within the 4-year observation period. The subsurface investigations showed that although both near-surface and groundwater conditions changed, near-surface sediments are mostly dry with a thickness of several meters during the observations.

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Monitoring of the soil moisture regime of an earth-filled dam by means of electrical resistance tomography, close range photogrammetry, and thermal imaging

Cited by 18 publications

References 38 publications

Integration of Thermal and RGB Data Obtained by Means of a Drone for Interdisciplinary Inventory

Integration of Thermal and RGB Data Obtained by Means of a Drone for Interdisciplinary Inventory

Photogrammetric analysis of multispectral and thermal close-range images

Riverine Sediment Changes and Channel Pattern of a Gravel-Bed Mountain Torrent

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