Relevant bibliographies by topics / Airborne thermal scanner

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  1. Journal articles
  2. Dissertations / Theses
  3. Conference papers

Academic literature on the topic 'Airborne thermal scanner'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Airborne thermal scanner"

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Benshemesh, JS, and WB Emison. "Surveying malleefowl breeding densities using an airborne thermal scanner." Wildlife Research 23, no. 2 (1996): 121. http://dx.doi.org/10.1071/wr9960121.

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When malleefowl, Leipoa ocellata (Megapodiidae), open their incubator-nests (mounds), relatively high temperatures are exposed, providing the possibility of sensing mounds remotely with an airborne thermal scanner. The feasibility of using this technique for surveying malleefowl populations was evaluated by conducting a test scan over four sites where the locations of active mounds were known, and by a groundbased study that examined the factors associated with the time and frequency of mound opening by the birds. In all, 26% of known active mounds were detected on 'quick-look prints' produced by the scanner. Detailed image analysis revealed further mounds and showed that all mounds detected were unambiguously indicated by maximum pixel temperature. The ground-based study showed that weather conditions in spring were poor predictors of mound-opening behaviour. However, the opening time of mounds was positively correlated the date, suggesting that scans would be most successful early in spring. In summer, the mound-opening behaviour of malleefowl differed markedly from that in spring; fewer mounds were opened on summer mornings and opening times were later and were strongly correlated to weather variables (but not with date). Using the ground-based data to model the probable success of scans under differing conditions, we estimate that scans covering 90 km2 (90 min duration) would detect up to 36% of active mounds on cloudy mornings in mid-October, compared with about 25% in mid-November and about 15% in summer. Repeated scans would substantially increase detection rates. We conclude that the technique is feasible, cost-effective and capable of vast coverage, although further development is required before broad-scale application.
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Sobrino, José A., Juan C. Jiménez-Muñoz, Pablo J. Zarco-Tejada, Guadalupe Sepulcre-Cantó, and Eduardo de Miguel. "Land surface temperature derived from airborne hyperspectral scanner thermal infrared data." Remote Sensing of Environment 102, no. 1-2 (May 2006): 99–115. http://dx.doi.org/10.1016/j.rse.2006.02.001.

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Kirkland, Laurel, Kenneth Herr, Eric Keim, Paul Adams, John Salisbury, John Hackwell, and Allan Treiman. "First use of an airborne thermal infrared hyperspectral scanner for compositional mapping." Remote Sensing of Environment 80, no. 3 (June 2002): 447–59. http://dx.doi.org/10.1016/s0034-4257(01)00323-6.

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Richter, Rudolf. "Derivation of temperature and emittance from airborne multispectral thermal infrared scanner data." Infrared Physics & Technology 35, no. 6 (October 1994): 817–26. http://dx.doi.org/10.1016/1350-4495(94)90011-6.

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Hanuš, J., T. Fabiánek, and L. Fajmon. "POTENTIAL OF AIRBORNE IMAGING SPECTROSCOPY AT CZECHGLOBE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 2, 2016): 15–17. http://dx.doi.org/10.5194/isprsarchives-xli-b1-15-2016.

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Ecosystems, their services, structures and functions are affected by complex environmental processes, which are both natural and human-induced and globally changing. In order to understand how ecosystems behave in globally changing environment, it is important to monitor the current status of ecosystems and their structural and functional changes in time and space. An essential tool allowing monitoring of ecosystems is remote sensing (RS). Many ecosystems variables are being translated into a spectral response recorded by RS instruments. It is however important to understand the complexity and synergies of the key ecosystem variables influencing the reflected signal. This can be achieved by analysing high resolution RS data from multiple sources acquired simultaneously from the same platform. Such a system has been recently built at CzechGlobe - Global Change Research Institute (The Czech Academy of Sciences). <br><br> CzechGlobe has been significantly extending its research infrastructure in the last years, which allows advanced monitoring of ecosystem changes at hierarchical levels spanning from molecules to entire ecosystems. One of the CzechGlobe components is a laboratory of imaging spectroscopy. The laboratory is now operating a new platform for advanced remote sensing observations called FLIS (Flying Laboratory of Imaging Spectroscopy). FLIS consists of an airborne carrier equipped with passive RS systems. The core instrument of FLIS is a hyperspectral imaging system provided by Itres Ltd. The hyperspectral system consists of three spectroradiometers (CASI 1500, SASI 600 and TASI 600) that cover the reflective spectral range from 380 to 2450 nm, as well as the thermal range from 8 to 11.5 μm. The airborne platform is prepared for mounting of full-waveform laser scanner Riegl-Q780 as well, however a laser scanner is not a permanent part of FLIS. In 2014 the installation of the hyperspectral scanners was completed and the first flights were carried out with all sensors. <br><br> The new hyperspectral imaging system required adaptations in the data pre-processing chain. The established pre-processing chain (radiometric, atmospheric and geometric corrections), which was tailored mainly to the AISA Eagle instrument operated at CzechGlobe since 2004, has been now modified to fit the new system and users needs. Continuous development of the processing chain is now focused mainly on establishing pre-processing of thermal data including emissivity estimation and also on joint processing of hyperspectral and laser scanning data.
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Hanuš, J., T. Fabiánek, and L. Fajmon. "POTENTIAL OF AIRBORNE IMAGING SPECTROSCOPY AT CZECHGLOBE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 2, 2016): 15–17. http://dx.doi.org/10.5194/isprs-archives-xli-b1-15-2016.

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Ecosystems, their services, structures and functions are affected by complex environmental processes, which are both natural and human-induced and globally changing. In order to understand how ecosystems behave in globally changing environment, it is important to monitor the current status of ecosystems and their structural and functional changes in time and space. An essential tool allowing monitoring of ecosystems is remote sensing (RS). Many ecosystems variables are being translated into a spectral response recorded by RS instruments. It is however important to understand the complexity and synergies of the key ecosystem variables influencing the reflected signal. This can be achieved by analysing high resolution RS data from multiple sources acquired simultaneously from the same platform. Such a system has been recently built at CzechGlobe - Global Change Research Institute (The Czech Academy of Sciences). <br><br> CzechGlobe has been significantly extending its research infrastructure in the last years, which allows advanced monitoring of ecosystem changes at hierarchical levels spanning from molecules to entire ecosystems. One of the CzechGlobe components is a laboratory of imaging spectroscopy. The laboratory is now operating a new platform for advanced remote sensing observations called FLIS (Flying Laboratory of Imaging Spectroscopy). FLIS consists of an airborne carrier equipped with passive RS systems. The core instrument of FLIS is a hyperspectral imaging system provided by Itres Ltd. The hyperspectral system consists of three spectroradiometers (CASI 1500, SASI 600 and TASI 600) that cover the reflective spectral range from 380 to 2450 nm, as well as the thermal range from 8 to 11.5 μm. The airborne platform is prepared for mounting of full-waveform laser scanner Riegl-Q780 as well, however a laser scanner is not a permanent part of FLIS. In 2014 the installation of the hyperspectral scanners was completed and the first flights were carried out with all sensors. <br><br> The new hyperspectral imaging system required adaptations in the data pre-processing chain. The established pre-processing chain (radiometric, atmospheric and geometric corrections), which was tailored mainly to the AISA Eagle instrument operated at CzechGlobe since 2004, has been now modified to fit the new system and users needs. Continuous development of the processing chain is now focused mainly on establishing pre-processing of thermal data including emissivity estimation and also on joint processing of hyperspectral and laser scanning data.
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STOVE, G. C., T. J. M. KENNIE, and A. HARRISON. "Airborne thermal mapping for winter highway maintenance using the Barr and Stroud IR18 thermal video frame scanner." International Journal of Remote Sensing 8, no. 7 (July 1987): 1077–84. http://dx.doi.org/10.1080/01431168708954753.

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Qian, Yong-Gang, Ning Wang, Ling-Ling Ma, Yao-Kai Liu, Hua Wu, Bo-Hui Tang, Ling-Li Tang, and Chuan-Rong Li. "Land surface temperature retrieved from airborne multispectral scanner mid-infrared and thermal-infrared data." Optics Express 24, no. 2 (December 21, 2015): A257. http://dx.doi.org/10.1364/oe.24.00a257.

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Edmonds, C. N., T. J. M. Kennie, and M. S. Rosenbaum. "The application of airborne remote sensing to the detection of solution features in limestone." Geological Society, London, Engineering Geology Special Publications 4, no. 1 (1987): 125–31. http://dx.doi.org/10.1144/gsl.eng.1987.004.01.14.

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AbstractAirborne remote sensing techniques have been developed for the detection of collapse and subsidence features in chalk and other limestone rocks. The detection of such features in the early stages of an engineering project is of crucial importance if serious geotechnical problems to building construction and public safety are to be avoided. Particular attention is paid to the potential of airborne multispectral scanner (MSS) and thermal infrared (IR) data as a means of detection. Background information is also provided concerning a project to obtain multitemporal thermal IR data over two test sites on the Cretaceous Chalk outcrop of southern England.
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Lahren, Mary M., Richard A. Schweickert, and James V. Taranik. "Analysis of the northern Sierra accreted terrane, California, with airborne thermal infrared multispectral scanner data." Geology 16, no. 6 (1988): 525. http://dx.doi.org/10.1130/0091-7613(1988)016<0525:aotnsa>2.3.co;2.

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Dissertations / Theses on the topic "Airborne thermal scanner"

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Malouf, Christopher P., and n/a. "Evaluation of an airborne thermal scanner (8-12 µm) as an irrigation scheduling tool for cotton (Gossypium hirsutum)." University of Canberra. Resource, Environmental & Heritage Sciences, 1996. http://erl.canberra.edu.au./public/adt-AUC20060829.143622.

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Water is Australia's most precious natural resource. The quality, quantity and availability of this resource is the single factor most limiting agricultural development and sustainability in this country. Since the development of Australia's cotton industry in the 1960's, and the expanding areas of irrigated crop, there has been an increasing demand placed on the limited water resources of the country. Consequently, the cotton industry has been the target of protest from conservation groups, residents of rural townships and others farmers engaged in competing rural sectors. Therefore, cotton farmers need to develop best practice in terms of water use efficiency. Not only does this make good ecological sense but also good economic sense. Traditional methods of irrigation scheduling have proven to be subjective and haphazard. Recently developed methods, while providing more quantitative techniques, do not give a synoptic view of a field's or region's crop moisture status. The main objective of this project was to evaluate an airborne thermal scanner (8-12 µm) as practical tool for monitoring the water requirements of an irrigated cotton crop. The thermal scanner was mounted below a light aircraft and imagery was collected over Field 86 , Togo Station, north-west NSW during the summer of 1990/91. The field was divided into nine treatments for the purpose of this project. Three irrigation regimes (early, normal and late) with three repetitions were applied to the nine treatments. A total of fourteen images were selected for analysis. These images were grouped into sets of AM images, PM images as well as diurnal groupings which were interpreted for three separate dates during the growing season. Ground based measurements of infrared crop surface and soil temperature, soil moisture deficit, leaf area index (LAI) and the Crop Water Stress Index (CWSI) were collected to calibrate the airborne imagery. Imagery was in the first instance visually interpreted to determine what information could be gained from this technique. Patterns on the imagery were related to diurnal variations in soil and crop temperatures. This investigation revealed a number of soil related phenomena inherent to the field which were influencing the airborne detected temperatures. While this technique showed variability across the field, the interpretation was somewhat subjective. Temperature values were extracted from the imagery in order to conduct an analysis of variance (ANOVA) between the airborne and ground measurements of infrared crop surface temperature. In summary, this analysis did not show a strong relationship between the airborne and ground based measurements. A number of contributing factors have been proposed as the reason for this variation in the two datasets. Pearson's correlation analysis was applied to the AM (r = 0.65) and PM (r = 0.32) groups of airborne and ground temperatures. Airborne derived calculations of the CWSI were compared to ground based measurements for the AM group of flights. These derived values were only acceptable in instances where the ANOVA results had shown them to approximate the ground based measurements. While airborne thermal imagery provides a useful tool for determining general variations in temperatures across a field, there are many additional factors, the most dominant being the thermal characteristics of the background soil, which influence the detected temperatures. This technique does not provide the precise quantitative information required to accurately determine across-field measurement of the CWSI.
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Gregory, Simon. "The geometric correction and registration of airborne line-scanned imagery for temporal thermal studies." Thesis, Aston University, 2001. http://publications.aston.ac.uk/14142/.

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This thesis begins by providing a review of techniques for interpreting the thermal response at the earth's surface acquired using remote sensing technology. Historic limitations in the precision with which imagery acquired from airborne platforms can be geometrically corrected and co-registered has meant that relatively little work has been carried out examining the diurnal variation of surface temperature over wide regions. Although emerging remote sensing systems provide the potential to register temporal image data within satisfactory levels of accuracy, this technology is still not widely available and does not address the issue of historic data sets which cannot be rectified using conventional parametric approaches. In overcoming these problems, the second part of this thesis describes the development of an alternative approach for rectifying airborne line-scanned imagery. The underlying assumption that scan lines within the imagery are straight greatly reduces the number of ground control points required to describe the image geometry. Furthermore, the use of pattern matching procedures to identify geometric disparities between raw line-scanned imagery and corresponding aerial photography enables the correction procedure to be almost fully automated. By reconstructing the raw image data on a truly line-by-line basis, it is possible to register the airborne line-scanned imagery to the aerial photography with an average accuracy of better than one pixel. Providing corresponding aerial photography is available, this approach can be applied in the absence of platform altitude information allowing multi-temporal data sets to be corrected and registered.
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Conference papers on the topic "Airborne thermal scanner"

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Castro, Eduardo H., Jonas D. Pfefferman, and Hernan J. Gonzalez. "Thermal analysis of images obtained with an airborne IR scanner in Argentina." In Aerospace/Defense Sensing and Controls, edited by John R. Snell, Jr. and Richard N. Wurzbach. SPIE, 1998. http://dx.doi.org/10.1117/12.304726.

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Gao, C. X., Y. G. Qian, N. Wang, L. L. Ma, and X. G. Jiang. "Land surface emissivity retrieval from airborne hyperspectral scanner thermal infrared data over urban surfaces." In International Conference on Intelligent Earth Observing and Applications, edited by Guoqing Zhou and Chuanli Kang. SPIE, 2015. http://dx.doi.org/10.1117/12.2220606.

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Collins, William E., and Sheng-Huei Chang. "Geophysical Environmental Research Corporation 63-channel airborne imaging spectrometer and 12-band thermal scanner." In Imaging Spectroscopy of the Terrestrial Environment, edited by Gregg Vane. SPIE, 1990. http://dx.doi.org/10.1117/12.21336.

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Jitsufuchi, Tetsuya. "Thermal infrared surveys for mapping surface temperature and sulfur dioxide plumes at Sakurajima Volcano (Minamidake A-crater, Showa crater) using the airborne hyperspectral scanner." In IGARSS 2013 - 2013 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2013. http://dx.doi.org/10.1109/igarss.2013.6721257.

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Welch, Ronald M., and Rand E. Feind. "Effect of spatial resolution on cloud area retrievals: a comparison of results derived from the airborne visible/infrared imaging spectrometer (AVIRIS) and the thermal infrared multispectral scanner." In Recent Advances in Sensors, Radiometric Calibration, and Processing of Remotely Sensed Data. SPIE, 1993. http://dx.doi.org/10.1117/12.161547.

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