Academic literature on the topic 'In situ sensing'

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Journal articles on the topic "In situ sensing"

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Carin, Lawrence, Dehong Liu, and Bin Guo. "In situ compressive sensing." Inverse Problems 24, no. 1 (January 25, 2008): 015023. http://dx.doi.org/10.1088/0266-5611/24/1/015023.

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Knobelspies, S., B. Bierer, J. Wöllenstein, J. Kneer, and S. Palzer. "Towards In-situ Biogas Sensing." Procedia Engineering 120 (2015): 269–74. http://dx.doi.org/10.1016/j.proeng.2015.08.606.

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Wu, Xiaopei, Qingsi Wang, and Mingyan Liu. "In-situ Soil Moisture Sensing." ACM Transactions on Sensor Networks 11, no. 2 (March 2, 2015): 1–29. http://dx.doi.org/10.1145/2629439.

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Wu, Xiaopei, Mingyan Liu, and Yue Wu. "In-situ soil moisture sensing." ACM Transactions on Sensor Networks 8, no. 4 (September 2012): 1–30. http://dx.doi.org/10.1145/2240116.2240122.

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Bühl, J., S. Alexander, S. Crewell, A. Heymsfield, H. Kalesse, A. Khain, M. Maahn, K. Van Tricht, and M. Wendisch. "Remote Sensing." Meteorological Monographs 58 (January 1, 2017): 10.1–10.21. http://dx.doi.org/10.1175/amsmonographs-d-16-0015.1.

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Abstract State-of-the-art remote sensing techniques applicable to the investigation of ice formation and evolution are described. Ground-based and spaceborne measurements with lidar, radar, and radiometric techniques are discussed together with a global view on past and ongoing remote sensing measurement campaigns concerned with the study of ice formation and evolution. This chapter has the intention of a literature study and should illustrate the major efforts that are currently taken in the field of remote sensing of atmospheric ice. Since other chapters of this monograph mainly focus on aircraft in situ measurements, special emphasis is put on active remote sensing instruments and synergies between aircraft in situ measurements and passive remote sensing methods. The chapter concentrates on homogeneous and heterogeneous ice formation in the troposphere because this is a major topic of this monograph. Furthermore, methods that deliver direct, process-level information about ice formation are elaborated with a special emphasis on active remote sensing methods. Passive remote sensing methods are also dealt with but only in the context of synergy with aircraft in situ measurements.
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Maser, Kenneth R. "Automated Interpretation for Sensing in Situ Conditions." Journal of Computing in Civil Engineering 2, no. 3 (July 1988): 215–38. http://dx.doi.org/10.1061/(asce)0887-3801(1988)2:3(215).

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Wang, Fushun, Baoguo Chen, Lei Wu, Qiuhua Zhao, and Lidong Zhang. "In Situ Swelling-Gated Chemical Sensing Actuator." Cell Reports Physical Science 1, no. 2 (February 2020): 100011. http://dx.doi.org/10.1016/j.xcrp.2019.100011.

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Mangi, Aijaz Ahmed, Syed Salman Shahid, and Sikander Hayat Mirza. "In-situ Blockage Monitoring of Sensing Line." Nuclear Engineering and Technology 48, no. 1 (February 2016): 98–113. http://dx.doi.org/10.1016/j.net.2015.08.009.

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Karimzadeh, Sadra, and Masashi Matsuoka. "Development of Nationwide Road Quality Map: Remote Sensing Meets Field Sensing." Sensors 21, no. 6 (March 23, 2021): 2251. http://dx.doi.org/10.3390/s21062251.

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In this study, we measured the in situ international roughness index (IRI) for first-degree roads spanning more than 1300 km in East Azerbaijan Province, Iran, using a quarter car (QC). Since road quality mapping with in situ measurements is a costly and time-consuming task, we also developed new equations for constructing a road quality proxy map (RQPM) using discriminant analysis and multispectral information from high-resolution Sentinel-2 images, which we calibrated using the in situ data on the basis of geographic information system (GIS) data. The developed equations using optimum index factor (OIF) and norm R provide a valuable tool for creating proxy maps and mitigating hazards at the network scale, not only for primary roads but also for secondary roads, and for reducing the costs of road quality monitoring. The overall accuracy and kappa coefficient of the norm R equation for road classification in East Azerbaijan province are 65.0% and 0.59, respectively.
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Ochoa, Maicol A., and Michael Zwolak. "Optimal in situ electromechanical sensing of molecular species." Journal of Chemical Physics 152, no. 3 (January 21, 2020): 034109. http://dx.doi.org/10.1063/1.5132581.

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Dissertations / Theses on the topic "In situ sensing"

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Xu, Lu M. Eng Massachusetts Institute of Technology. "An improved in situ sensing device for freshwater DOM characterization." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/104251.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2016.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 27-28).
DOC characterization of freshwater is poorly understood at areas of harsh or difficult to access, especially areas like peatland rainforest. In order to figure out the level of DOC transport, an in situ instrument was previously designed to measure the DOC concentration at remote locations. However, the data collected by the instrument is not as meaningful as expected due to the complex environment, high DOC concentration and inner shielding. A new instrument is required to be designed to fulfil the objectives. Like the previous instrument, the new instrument still needs to measure the fluorescence and absorbance data to give an estimation of DOC concentration. There are three LEDs to provide fluorescence measurements, a wideband lamp to provide light for absorbance measurement and a spectrometer to record the resulting spectra. Unlike general in situ fluorometers, the orientation between the excitation source and detector is 90 degrees for the new optical configuration. The new designed optical configuration solves the problem of window obstruction and also successfully prevents the problem of misalignment caused by water turbulence. Furthermore, the instrument also solves the problem of long light path lengths with the new configuration. The instrument was tested to work well in the lab with a range of DOC concentration from 5 ppm to 60 ppm. The recorded data showed a strong positive relationship between fluorescence intensity and concentration of DOC.
by Lu Xu.
M. Eng.
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Mtshemla, Kanyisa Sipho. "Mission design of a CubeSat constellation for in-situ monitoring applications." Thesis, Cape Peninsula University of Technology, 2017. http://hdl.handle.net/20.500.11838/2633.

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Thesis (MEng (Electrical Engineering))--Cape Peninsula University of Technology, 2017.
Real-time remote monitoring of Africa’s resources, such as water quality, by using terrestrial sensors is impeded by the limited connectivity over the vast rural areas of the continent. Without such monitoring, the effective management of natural resources, and the response to associated disasters such as flooding, is almost impossible. A constellation of nanosatellites could provide near real-time connectivity with ground-based sensors that are distributed across the continent. This study evaluates the high level development of a mission design for a near real-time remote monitoring CubeSat constellation and ground segment for in-situ monitoring in regions of interest on the African continent. This would facilitate management of scarce resources using a low-cost constellation. To achieve this, the design concept and operation of a Walker constellation are examined as a means of providing connectivity to a low bit rate sensor network distributed across geographic areas of interest in South Africa, Algeria, Kenya and Nigeria. The mission requirements include the optimisation of the constellation to maintain short revisit times over South Africa and an investigation of the required communications link to perform the operations effectively. STK software is used in the design and evaluation of the constellations and the communications system. The temporal performance parameters investigated are access and revisit times of the constellations to the geographic areas mentioned. The types of constellation configurations examined, involved starting with a system level analysis of one satellite. This seed satellite has known orbital parameters. Then a gradual expansion of two to twelve satellites in one, two and three orbital planes follows. VHF, UHF and S-band communication links are considered for low data rate in-situ monitoring applications. RF link budgets and data budgets for typical applications are determined. For South Africa, in particular, a total of 12 satellites evenly distributed in a two-plane constellation at an inclination of 39° provide the optimal solution and offer an average daily revisit time of about 5 minutes. This constellation provides average daily access time of more than 16 hours per day. A case study is undertaken that decribes a constellation for the provision of maritime vessel tracking in the Southern African oceans using the Automated Information System (AIS). This service supports the Maritime Domain Awareness (MDA) initiative implemented by the South African Government, under its Operation Phakisa.
National Research Foundation (NRF) French South African Institute of Technology (F’SATI)
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Abouarboub, Ahmed Ali Mohamed. "In-situ validation of three-phase flowmeters using capacitance sensing techniques." Thesis, University of Derby, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.396508.

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Badmaarag, Ulzii-Orshikh. "Optical Chemical Sensing Device for In-situ Non-Invasive Gas Monitoring." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1583155117533193.

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Chen, Zhiqiang. "Monitoring water quality in Tampa Bay : coupling in situ and remote sensing." [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001777.

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Xiong, Rentian. "In situ sensing for chemical vapor deposition based on state estimation theory." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/22711.

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Thesis (Ph. D.)--Chemical and Biomolecular Engineering, Georgia Institute of Technology, 2008.
Committee Chair: Gallivan, Martha; Committee Member: Ferguson, Ian; Committee Member: Henderson, Cliff; Committee Member: Hess, Dennis; Committee Member: Lee, Jay.
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Evers-King, Hayley Louise. "Phytoplankton community structure determined through remote sensing and in situ optical measurements." Doctoral thesis, University of Cape Town, 2014. http://hdl.handle.net/11427/13076.

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Linking variability in optical signals with phytoplankton community characteristics is important to extend the use of the vast resource that is the satellite ocean colour archive. Detection of species, functional types or size classes has been addressed through a spectrum of empirical to analytical approaches. A key step in developing these techniques is quantifying the sensitivity in reflectance, which can be attributed to phytoplankton characteristics (e.g cell size) under different optical regimes. Ultimately, highly spatially and temporally resolved information on phytoplankton characteristics can help the global scientific community to answer important questions relating to primary ecosystem variability. In the southern Benguela, Harmful Algal Blooms threaten public health and the economic viability of fishery and aquaculture industries in the region. Concurrently, the dominance of phytoplankton biomass amongst optically significant constituents in the southern Benguela makes the region ideal for assessing the extent to which phytoplankton characteristics beyond biomass can influence the ocean colour signal. A forward and inverse approach is presented. Phytoplankton absorption and back scattering are generated from a phytoplankton particle population model coupled to two radiative transfer approaches: a reflectance approximation and the radiative transfer model, EcoLight-S. Non-linear optimisation inversion schemes are then implemented. A simulated dataset is created to investigate how much variability in reflectance can be associated with changes in phytoplankton cell size in different bio-optical water types. This dataset is inverted to investigate the errors inherent in the inversion process as a result of ambiguity. Comparison of the two radiative transfer techniques allows for consideration of the suitability of approximations for bidirection-ality and subsurface propagation. The inversion algorithm is then applied to hyperspectral in situ radiometric data to provide validation and further assessment of errors from all sources. Results indicate that size related sensitivity in reflectance is highly dependent on phytoplank-ton biomass, as determined by the relative phytoplankton contribution to the Inherent Optical Property budget. The algorithm is finally applied to ten years of MERIS data covering the southern Benguela. A time series of biomass and cell size is presented and metrics developed to demonstrate the utility of this approach for identifying previously unobserved interannual variability in Harmful Algal Blooms.
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Dixon, Benjamin Deon. "In-situ monitoring using nano-satellites : a systems level approach." Thesis, Cape Peninsula University of Technology, 2015. http://hdl.handle.net/20.500.11838/2194.

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Thesis (MTech (Electrical Engineering))--Cape Peninsula University of Technology, 2015.
Traditional satellite systems employed for use with in-situ monitoring systems are large satellites that have a long development time, high cost and complex sub-systems. The end use of relaying data for in-situ monitoring becomes a costly application for the end user. Shifting this application to make use of nano-satellites, such as CubeSats, for data relaying will make the application more attractive to the end user when measurements are required outside existing ground based communications infrastructure. CubeSats are small, simple satellites that yield a short development time and very low cost compared to conventional satellites. Their sub-systems are generally built from off the shelf components. This keeps the designs simple, manufacture cost low with the potential for flying the latest technologies. This research set out to analyse various scenarios related to in-situ monitoring governed by parameters such as the maximum revisit time, satellite orbit altitude, quantity of sensor nodes and data quantity relayed in the system. A systems level approach is used to analyse each designed scenario using a simulation tool called Systems Tool Kit by Agilent Graphics Incorporated. The data acquired for each scenario through simulation was validated using theoretical approximation methods, which included parameters such as coverage potential, total node access time, communication link performance, power resources, memory resources, access time and number of ground stations. The focus was put on these parameters since they are the main constraints when designing a system using nano-satellites. The outcome of the research was to create an analysis reference for designing an in-situ monitoring system using nano-satellites. It outlines the methods used to calculate and simulate each of the constraints governing the system. Each designed scenario showed satisfactory performance within the defined parameters and can be practically implemented as a reference for designing similar systems.
National Research Foundation
South African National Space Agency
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Kautz, Jess S., and Jess S. Kautz. "In-Situ Cameras for Radiometric Correction of Remotely Sensed Data." Diss., The University of Arizona, 2017. http://hdl.handle.net/10150/624563.

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The atmosphere distorts the spectrum of remotely sensed data, negatively affecting all forms of investigating Earth's surface. To gather reliable data, it is vital that atmospheric corrections are accurate. The current state of the field of atmospheric correction does not account well for the benefits and costs of different correction algorithms. Ground spectral data are required to evaluate these algorithms better. This dissertation explores using cameras as radiometers as a means of gathering ground spectral data. I introduce techniques to implement a camera systems for atmospheric correction using off the shelf parts. To aid the design of future camera systems for radiometric correction, methods for estimating the system error prior to construction, calibration and testing of the resulting camera system are explored. Simulations are used to investigate the relationship between the reflectance accuracy of the camera system and the quality of atmospheric correction. In the design phase, read noise and filter choice are found to be the strongest sources of system error. I explain the calibration methods for the camera system, showing the problems of pixel to angle calibration, and adapting the web camera for scientific work. The camera system is tested in the field to estimate its ability to recover directional reflectance from BRF data. I estimate the error in the system due to the experimental set up, then explore how the system error changes with different cameras, environmental set-ups and inversions. With these experiments, I learn about the importance of the dynamic range of the camera, and the input ranges used for the PROSAIL inversion. Evidence that the camera can perform within the specification set for ELM correction in this dissertation is evaluated. The analysis is concluded by simulating an ELM correction of a scene using various numbers of calibration targets, and levels of system error, to find the number of cameras needed for a full-scale implementation.
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Museler, Erica A. "A comparison of in-situ measurements and satellite remote sensing of underwater visibility." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Mar%5FMuseler.pdf.

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Thesis (M.S. in Meteorology and Physical Oceanography)--Naval Postgraduate School, March 2003.
Thesis advisor(s): Philip A. Durkee. Includes bibliographical references (p. 57-59). Also available online.
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Books on the topic "In situ sensing"

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Abouarkoub, Ahmed Ali Mohamed. In-situ validation of three-phase flowmeters using cpacitance sensing techniques. [Derby: University of Derby], 2003.

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Schirru, Michele. Development of an Ultrasonic Sensing Technique to Measure Lubricant Viscosity in Engine Journal Bearing In-Situ. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53408-4.

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Benson, Carl S. Semi-annual report on NASA grant NAG 5 887 entitled remote sensing of global snowpack energy and mass balance: In-situ measurements on the snow of interior and Arctic Alaska. Fairbanks, Alaska: Geophysical Institute, University of Alaska, 1989.

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Assembly, COSPAR Scientific. Solar composition: New perspectives from in-situ and remote sensing studies : proceedings of the D2.1-E3.2 symposium of COSPAR Scientific Commission D which was held during the Thirty-third COSPAR Scientific Assembly, Warsaw, Poland, July, 2000. Oxford: Published for the Committee on Space Research [by] Pergamon, 2002.

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Haefliger, Marcel. Radiation balance over the Greenland ice sheet derived by NOAA AVHRR satellite data and in situ observations. Zürich: Verlag Geographisches Institut ETH, 1998.

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H, Bearman Gregory, Beauchamp Patricia H, Jet Propulsion Laboratory (U.S.), and Society of Photo-optical Instrumentation Engineers., eds. First Jet Propulsion Laboratory in situ instruments workshop: 11-13 June, 2002, Pasadena, California, USA. Bellingham, Wash: SPIE, 2003.

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Kuehn, Friedrich, Trude V. V. King, Bernhard Hoerig, and Douglas C. Peters, eds. Remote Sensing for Site Characterization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-56978-4.

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Drager, Dwight L., and Arthur K. Ireland. The Seedskadee project: Remote sensing in non-site archeology. Albuquerque, N.M: U.S. Dept. of the Interior, National Park Service, Southwest Region, 1986.

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Drager, Dwight L. The Seedskadee project: Remote sensing in non-site archeology. Albuquerque, New Mexico: United States Department of the Interior, National Park Service, Southwest Region, Southwest Cultural Resources Center, Division of Cultural Research, Branch of Remote Sensing ; and, Bureau of Reclamation, Upper Colorado Region, 1986.

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Singhroy, VH, DD Nebert, and AI Johnson, eds. Remote Sensing and GIS for Site Characterization: Applications and Standards. 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959: ASTM International, 1996. http://dx.doi.org/10.1520/stp1279-eb.

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Book chapters on the topic "In situ sensing"

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Tran, Phong A. "Nanotechnologies for Cancer Sensing and Treatment." In Nanotechnology Enabled In situ Sensors for Monitoring Health, 1–39. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7291-0_1.

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Zhang, Kai, and Alireza Entezari. "In-Situ Data Reduction via Incoherent Sensing." In Lecture Notes in Computer Science, 601–11. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34356-9_45.

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Masini, Nicola, Maria Sileo, Giovanni Leucci, Francesco Soldovieri, Antonio D’Antonio, Lara de Giorgi, Antonio Pecci, and Manuela Scavone. "Integrated In Situ Investigations for the Restoration: The Case of Regio VIII in Pompeii." In Sensing the Past, 557–86. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50518-3_29.

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Wahbi, A., and W. Avery. "In Situ Destructive Sampling." In Cosmic Ray Neutron Sensing: Estimation of Agricultural Crop Biomass Water Equivalent, 5–9. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-69539-6_2.

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Kanj, Mazen Y. "Reservoir Nanoagents for In-Situ Sensing and Intervention." In Nanorobotics, 51–67. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-2119-1_4.

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Wilson, Alan, and Richard Muscat. "In-Situ Sensing of Surface and Atmospheric Moisture." In Lecture Notes in Electrical Engineering, 201–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27638-5_11.

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Kranbuehl, David E. "In Situ Frequency Dependent Dielectric Sensing of Cure." In Processing of Composites, 137–57. München: Carl Hanser Verlag GmbH & Co. KG, 2000. http://dx.doi.org/10.3139/9783446401778.004.

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Boucher, Olivier. "In Situ and Remote Sensing Measurements of Aerosols." In Atmospheric Aerosols, 129–60. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-9649-1_6.

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Fournier, Richard A., Daniel Mailly, Jean-Michel N. Walter, and Kamel Soudani. "Indirect Measurement of Forest Canopy Structure from In Situ Optical Sensors." In Remote Sensing of Forest Environments, 77–113. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0306-4_4.

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Fernández, Néstor, Simon Ferrier, Laetitia M. Navarro, and Henrique M. Pereira. "Essential Biodiversity Variables: Integrating In-Situ Observations and Remote Sensing Through Modeling." In Remote Sensing of Plant Biodiversity, 485–501. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-33157-3_18.

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AbstractEssential biodiversity variables (EBVs) are designed to support the detection and quantification of biodiversity change and to define priorities in biodiversity monitoring. Unlike most primary observations of biodiversity phenomena, EBV products should provide information readily available to produce policy-relevant biodiversity indicators, ideally at multiple spatial scales, from global to subnational. This information is typically complex to produce from a single set of data or type of observation, thus requiring approaches that integrate multiple sources of in situ and remote sensing (RS) data. Here we present an up-to-date EBV concept for biodiversity data integration and discuss the critical components of workflows for EBV production. We argue that open and reproducible workflows for data integration are critical to ensure traceability and reproducibility so that each EBV endures and can be updated as novel biodiversity models are adopted, new observation systems become available, and new data sets are incorporated. Fulfilling the EBV vision requires strengthening efforts to mobilize massive amounts of in situ biodiversity data that are not yet publicly available and taking full advantage of emerging RS technologies, novel biodiversity models, and informatics infrastructures, in alignment with the development of a globally coordinated system for biodiversity monitoring.
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Conference papers on the topic "In situ sensing"

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Carin, Lawrence, Dehong Liu, and Ya Xue. "In Situ Compressive Sensing." In 2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing. IEEE, 2007. http://dx.doi.org/10.1109/camsap.2007.4497976.

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Carin, Lawrence, Dehong Liu, and Ya Xue. "In Situ Compressive Sensing." In 2007 IEEE/SP 14th Workshop on Statistical Signal Processing. IEEE, 2007. http://dx.doi.org/10.1109/ssp.2007.4301272.

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Wu, Xiaopei, and Mingyan Liu. "In-situ soil moisture sensing." In the 11th international conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2185677.2185679.

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Schultze, R. H., and F. Lewitzka. "On-site and in-situ analysis of contaminated soils using laser induced fluorescence spectroscopy." In Remote Sensing, edited by Manfred Ehlers and Ulrich Michel. SPIE, 2005. http://dx.doi.org/10.1117/12.627664.

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Smith, Patricia B., Glennis J. Orloff, and Roger L. Strong. "In-situ monitoring for HgCdTe device fabrication." In Aerospace Sensing, edited by Raymond S. Balcerak, Paul W. Pellegrini, and Dean A. Scribner. SPIE, 1992. http://dx.doi.org/10.1117/12.137778.

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Stuart, Derek D. "In-situ infrared detection of stack gases." In Environmental Sensing '92, edited by Joseph J. Santoleri. SPIE, 1993. http://dx.doi.org/10.1117/12.140301.

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Vickers, Thomas J., and Charles K. Mann. "Developing Raman spectroscopy for in-situ determinations." In Environmental Sensing '92, edited by Tuan Vo-Dinh and Karl Cammann. SPIE, 1993. http://dx.doi.org/10.1117/12.140274.

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Hayes, Simon A., David Brooks, Tonguy Liu, S. Vickers, and Gerard F. Fernando. "In-situ self-sensing fiber reinforced composites." In 1996 Symposium on Smart Structures and Materials, edited by Kent A. Murphy and Dryver R. Huston. SPIE, 1996. http://dx.doi.org/10.1117/12.240877.

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Wang, Liwei, Shoaib Malik, Dee Harris, and Gerard F. Fernando. "Self-sensing composites: in-situ cure monitoring." In International Conference on Smart Materials and Nanotechnology in Engineering. SPIE, 2007. http://dx.doi.org/10.1117/12.779399.

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Morgan, Sean. "Inlaid Microfluidics for In Situ Phosphate Sensing." In Emerging Investigators in Microfluidics Conference. València: Fundació Scito, 2021. http://dx.doi.org/10.29363/nanoge.eimc.2021.048.

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Reports on the topic "In situ sensing"

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Teillet, P. M., R. P. Gauthier, A. Chichagov, and G. Fedosejevs. Towards Integrated Earth Sensing: The Role of In Situ Sensing. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2002. http://dx.doi.org/10.4095/219959.

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Rice, Joseph. Maritime In Situ Sensing Inter-Operable Networks (MISSION). Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada598891.

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Florian Solzbacher, Anil Virkar, Loren Rieth, Srinivasan Kannan, Xiaoxin Chen, and Hannwelm Steinebach. Novel High Temperature Materials for In-Situ Sensing Devices. Office of Scientific and Technical Information (OSTI), December 2009. http://dx.doi.org/10.2172/992584.

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Teillet, P. M. Towards Integrated Earth Sensing: From Space to In Situ. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2002. http://dx.doi.org/10.4095/219976.

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Teillet, P. M., R. P. Gauthier, A. Chichagov, and G. Fedosejevs. Towards integrated earth sensing: advanced technologies for in situ sensing in the context of earth observation. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2002. http://dx.doi.org/10.4095/219864.

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Teillet, P. M., R. P. Gauthier, A. Chichagov, and G. Fedosejevs. Towards integrated Earth sensing: advanced technologies for in situ sensing in the context of Earth observation. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2002. http://dx.doi.org/10.4095/219949.

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Teillet, P. M., A. E. Dudelzak, T. J. Pultz, H. McNairn, and A. Chichagov. A Framework for In-Situ Sensor Measurement Assimilation in Remote Sensing Applications. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2001. http://dx.doi.org/10.4095/219783.

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ILLINOIS UNIV CHAMPAIGN. Free Radical Damage and Noise-Induced Hearing Loss: in vivo in situ Sensing. Fort Belvoir, VA: Defense Technical Information Center, July 2008. http://dx.doi.org/10.21236/ada501567.

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William M. Davis. Field demonstration and transition of SCAPS direct push VOC in-situ sensing technologies. Office of Scientific and Technical Information (OSTI), November 1999. http://dx.doi.org/10.2172/763299.

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Liu, Cho-Teng, Cesar Villanoy, Laura David, Ming-Kuang Hsu, Hsien-Wen Chen, Chia-Chun Kao, Dong-Jiing Doong, and Yih Yang. Remote Sensing and In Situ Observation of Internal Wave Generation in the Luzon Strait. Fort Belvoir, VA: Defense Technical Information Center, September 2006. http://dx.doi.org/10.21236/ada631058.

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