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Books on the topic 'Spatial and temporally resolution'

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

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1

Quattrochi, Dale A. Spatial and temporal scaling of thermal infrared remote sensing data. [Washington, D.C: National Aeronautics and Space Administration, 1995.

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2

Sharp, Thomas Harry. Biomolecular Imaging at High Spatial and Temporal Resolution In Vitro and In Vivo. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02159-1.

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3

Landsat-4 Science Characterization Early Results Symposium (1983 Greenbelt, Md.). Landsat-4 science characterization early results: Proceedings of the Landsat-4 Science Characterization Early Results Symposium, February 22-24, 1983, held at NASA Goddard Space Flight Center, Greenbelt, Maryland. Edited by Barker John L, United States. National Aeronautics and Space Administration, and Landsat-4 Early Results Symposium (1983 : Greenbelt, Md.). Washington, D.C: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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4

Landsat-4 Science Characterization Early Results Symposium (1983 Greenbelt, Md.). Landsat-4 science characterization early results: Proceedings of the Landsat-4 Science Characterization Early Results Symposium, February 22-24, 1983, held at NASA Goddard Space Flight Center, Greenbelt, Maryland. Edited by Barker John L, United States. National Aeronautics and Space Administration, and Landsat-4 Early Results Symposium (1983 : Greenbelt, Md.). Washington, D.C: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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5

He, Yuhong, and Qihao Weng, eds. High Spatial Resolution Remote Sensing. Boca Raton, FL : Taylor & Francis, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/9780429470196.

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6

Wallace, Kenneth M. Design of a high resolution spatial heterdyne interferometer. Monterey, Calif: Naval Postgraduate School, 1992.

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7

Bruegger, Beat P. Spatial theory for the integration of resolution-limited data. Enschede]: International Institute for Aerospace Survey and Earth Sciences, 1994.

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8

Liandrat, J. Resolution of the 1D regularized Burgers equation using a spatial wavelet approximation. Hampton, Va: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1990.

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9

Spatial data types for database systems: Finite resolution geometry for geographic information systems. Berlin: Springer, 1997.

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10

Joseph, Goldstein. Applications of the analytical electron microscope to materials science. [Washington, DC: National Aeronautics and Space Administration, 1992.

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11

Gougeon, François A. Forest information extraction from high spatial resolution images using an individual tree crown approach. Victoria: Natural Resources Canada, Canadian Forest Service, Pacific Forestry Centre, 2003.

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12

Leidner, Jochen L. Toponym resolution in text: Annotation, evaluation and applications of spatial grounding of place names. Boca Raton: Dissertation.com, 2007.

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13

Mazo, Aleksandr, and Konstantin Potashev. The superelements. Modeling of oil fields development. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1043236.

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This monograph presents the basics of super-element modeling method of two-phase fluid flows occurring during the development of oil reservoir. The simulation is performed in two stages to reduce the spatial and temporal scales of the studied processes. In the first stage of modeling of development of oil deposits built long-term (for decades) the model of the global dynamics of the flooding on the super-element computational grid with a step equal to the average distance between wells (200-500 m). Local filtration flow, caused by the action of geological and technical methods of stimulation, are modeled in the second stage using a special mathematical models using computational grids with high resolution detail for the space of from 0.1 to 10 m and time — from 102 to 105 C. The results of application of the presented models to the solution of practical tasks of development of oil reservoir. Special attention is paid to the issue of value transfer in filtration-capacitive properties of the reservoir, with a detailed grid of the geological model on the larger grid reservoir models. Designed for professionals in the field of mathematical and numerical modeling of fluid flows occurring during the development of oil fields and using traditional commercial software packages, as well as developing their own software. May be of interest to undergraduate and graduate students studying in areas such as "Mechanics and mathematical modeling", "Applied mathematics", "Oil and gas".
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14

Staelin, David H. High-spatial-resolution passive microwave sounding systems: Final report : covering the period February 1, 1980-March 14, 1994. Cambridge, Mass: Massachusetts Institute of Technology, Research Laboratory of Electronics, 1994.

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15

Deissler, Robert G. Effect of spatial resolution on apparent sensitivity to initial conditions of a decaying flow as it becomes turbulent. [Washington, DC]: National Aeronautics and Space Administration, 1990.

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16

Mubvami, T. Agrarian policy research and dialogue activities for agricultural revival and conflict resolution in Zimbabwe: Spatial development of agricultural clusters. Harare]: African Institute for Agrarian Studies, 2004.

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17

Hlavka, Christine A. Unmixing AVHRR imagery to assess clearcuts and forest regrowth in Oregon. [Washington, D.C: National Aeronautics and Space Administration, 1995.

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18

Hlavka, Christine A. Unmixing AVHRR imagery to assess clearcuts and forest regrowth in Oregon. [Washington, D.C: National Aeronautics and Space Administration, 1995.

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19

Malphrus, Benjamin K. JOVE annual progress report. [Washington, DC: National Aeronautics and Space Administration, 1997.

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20

International, Forum on Automated Interpretation of High Spatial Resolution Digital Imagery for Forestry (1998 Victoria B. C. ). International Forum, Automated Interpretation of High Spatial Resolution Digital Imagery for Forestry: February 10-12, 1998, Pacific Forestry Centre, Victoria, British Columbia, Canada. Victoria: Pacific Forestry Centre, 1999.

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21

Smyth, William H. Studies for the loss of atomic and molecular species from Io: Report for the periods of November 23, 1997 to January 22, 1998. [Washington, DC: National Aeronautics and Space Administration, 1998.

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22

Smyth, William H. Studies for the loss of atomic and molecular species from Io: Report for the periods of July 23 to September 22, 1997. [Washington, DC: National Aeronautics and Space Administration, 1997.

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23

Technologies, MountainTop. Do shotguns and muzzleloaders pose less risk than centerfire rifles for hunting deer in Pennsylvania: Spatial and ballistic analysis conducted pursuant to Pennsylvania House Resolution 61. Harrisburg, PA: Legislative Budget and Finance Committee, 2007.

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24

Technologies, MountainTop. Do shotguns and muzzleloaders pose less risk than centerfire rifles for hunting deer in Pennsylvania: Spatial and ballistic analysis conducted pursuant to Pennsylvania House Resolution 61. Harrisburg, PA: Legislative Budget and Finance Committee, 2007.

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25

Sharp, Thomas Harry. Biomolecular Imaging at High Spatial and Temporal Resolution In Vitro and In Vivo. Springer, 2013.

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26

Sharp, Thomas Harry. Biomolecular Imaging at High Spatial and Temporal Resolution In Vitro and In Vivo. Springer, 2016.

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27

Dotson, Michael E. An evaluation of the impact of variable temporal and spatial data resolution upon IREPS. 1987.

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28

Erasmi, Stefan, and Martin Kappas. High Resolution Remote Sensing: Precise Spectral, Spatial and Temporal Satellite Data for Environmental Applications. Springer, 2007.

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29

Landsat-4 science characterization early results. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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30

L, Barker John, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch, eds. Landsat-4 science characterization early results. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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31

L, Barker John, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. Landsat-4 science characterization early results. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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32

Landsat-4 science characterization early results. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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33

L, Barker John, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. Landsat-4 science characterization early results. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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34

L, Barker John, and United States. National Aeronautics and Space Administration., eds. Landsat-4 science characterization early results. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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35

Landsat-4 science characterization early results. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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36

Landsat-4 science characterization early results. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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37

L, Barker John, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. Landsat-4 science characterization early results. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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38

L, Barker John, and United States. National Aeronautics and Space Administration., eds. Landsat-4 science characterization early results. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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39

L, Barker John, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. Landsat-4 science characterization early results. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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40

L, Barker John, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. Landsat-4 science characterization early results. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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41

Landsat-4 science characterization early results. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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42

Maquet, Pierre, and Julien Fanielle. Neuroimaging in normal sleep and sleep disorders. Edited by Sudhansu Chokroverty, Luigi Ferini-Strambi, and Christopher Kennard. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199682003.003.0011.

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Functional neuroimaging techniques include methods that probe various aspects of brain function and help derive models of brain organization in health and disease. These techniques can be grouped in two categories. Some are mainly based on electromagnetic signals (electroencephalography, magnetoencephalography), recording brain activity using a large number of sensors with exquisite temporal resolution (usually of the order of a kilohertz) but allowing only indirect characterization of three-dimensional brain activity by resorting to mathematical models. The second type includes different techniques (PET scan, SPECT, MRI, optical imaging) that typically assess metabolic or hemodynamic parameters, with millimeter spatial resolution and usually from the entire brain volume. However, temporal resolution is usually low because it is primarily driven by metabolic processes that unfold in several seconds or minutes. This chapter focuses on this second type, covering the contribution of brain imaging to understanding NREM sleep and REM sleep and also sleep disorders.
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43

High Spatial Resolution Remote Sensing. Taylor & Francis Group, 2018.

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44

Schomer, Andrew, Margitta Seeck, Andres M. Kanner, and Donald L. Schomer. Anterotemporal, Basal Temporal, Nasopharyngeal, and Sphenoidal Electrodes and High-Density Arrays. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0006.

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Temporal lobe epilepsy is the most frequent type of epilepsy of focal origin in adults. Electroencephalographic evaluation for surgical treatment requires accurate localization of epileptic foci. The yield of detection with scalp electrodes depends on three variables: source and extent of the epileptogenic area relative to the scalp electrodes’ position; electric field generated by the epileptiform activity and the electric vectors’ orientation; and extent of propagation of the epileptiform activity from mesial to temporal lateral regions. Recordings of epileptiform activity of presumed mesial-temporal origin should include additional electrodes such as anterior temporal or basal temporal electrodes or a subtemporal chain. Nasopharyngeal electrodes appear to yield no advantage over anterior temporal or basal temporal electrodes or a subtemporal chain and are associated with discomfort. Sphenoidal electrodes should be considered in special circumstances; reliability is improved if placed under fluoroscopy. High-density scalp recordings allow for even greater resolution and improved spatial sampling.
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45

Papanicolaou, Andrew C. Overview of Basic Concepts. Edited by Andrew C. Papanicolaou. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199764228.013.002.

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Functional brain imaging is based on a set of assumptions. A clear appreciation of those makes it possible to form reasonable opinions regarding the potential range of application and the limits of the functional neuroimaging procedures. Exposition of these basic facts and assumptions is the primary goal of this chapter. A secondary goal is the juxtaposition of the basic concepts involved in them, such as the concept of “function,” “brain mechanism,” “neuronal network,” “activity,” and “activation”; drawing, in broad outline, a description of the methods of neuroimaging, their relative spatial and temporal resolution, and the type of neurophysiological effects each of them captures and renders in images.
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46

A, Wagstaff Ronald, Baggeroer Arthur B, and United States. Naval Ocean Research and Development Activity, eds. High-resolution spatial processing in underwater acoustics. NSTL, Miss: Naval Ocean Research and Development Activity, 1985.

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47

A, Wagstaff Ronald, Baggeroer Arthur B, and United States. Naval Ocean Research and Development Activity., eds. High-resolution spatial processing in underwater acoustics. NSTL, Miss: Naval Ocean Research and Development Activity, 1985.

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48

A, Wagstaff Ronald, Baggeroer Arthur B, and United States. Naval Ocean Research and Development Activity, eds. High-resolution spatial processing in underwater acoustics. NSTL, Miss: Naval Ocean Research and Development Activity, 1985.

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49

A, Wagstaff Ronald, Baggeroer Arthur B, and United States. Naval Ocean Research and Development Activity, eds. High-resolution spatial processing in underwater acoustics. NSTL, Miss: Naval Ocean Research and Development Activity, 1985.

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50

Scene Classification Using High Spatial Resolution Multispectral Data. Storming Media, 2002.

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