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Journal articles on the topic 'Remote sensing'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 November 2024

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1

Crespi, Mattia, Carsten Jürgens, Derya Maktav, and Karsten Jacobsen. "3D remote sensing and urban remote sensing." International Journal of Remote Sensing 37, no. 15 (July 14, 2016): 3437–38. http://dx.doi.org/10.1080/01431161.2016.1205314.

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2

Moore, Gerald K. "Remote sensing in hydrology, remote sensing applications." Journal of Hydrology 131, no. 1-4 (February 1992): 388–89. http://dx.doi.org/10.1016/0022-1694(92)90228-n.

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3

TAKEUCHI, NOBUO. "Remote sensing." Review of Laser Engineering 21, no. 1 (1993): 211–13. http://dx.doi.org/10.2184/lsj.21.211.

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4

White, K. "Remote sensing." Progress in Physical Geography 22, no. 1 (March 1, 1998): 95–102. http://dx.doi.org/10.1191/030913398669595653.

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5

Donoghue, D. N. M. "Remote sensing." Progress in Physical Geography 23, no. 2 (June 1, 1999): 271–81. http://dx.doi.org/10.1191/030913399675911653.

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6

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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7

Sterne, Jonathan. "REMOTE SENSING." Cultural Studies 17, no. 2 (March 2003): 304–6. http://dx.doi.org/10.1080/0950238032000075592.

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8

ROTHERY, DAVID A. "Remote sensing." Geology Today 1, no. 4 (July 1985): 105–8. http://dx.doi.org/10.1111/j.1365-2451.1985.tb00302.x.

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9

Schanda, E. "Remote sensing." Photogrammetria 40, no. 2 (December 1985): 206. http://dx.doi.org/10.1016/0031-8663(85)90017-1.

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10

Navalgund, Rangnath R. "Remote sensing." Resonance 6, no. 12 (December 2001): 51–60. http://dx.doi.org/10.1007/bf02913767.

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11

Murai, Shunji. "Remote sensing." Journal of the Institute of Television Engineers of Japan 39, no. 2 (1985): 158–62. http://dx.doi.org/10.3169/itej1978.39.158.

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12

White, Kevin. "Remote sensing." Progress in Physical Geography: Earth and Environment 15, no. 1 (March 1991): 71–76. http://dx.doi.org/10.1177/030913339101500105.

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13

White, Kevin. "Remote sensing." Progress in Physical Geography: Earth and Environment 16, no. 1 (March 1992): 90–96. http://dx.doi.org/10.1177/030913339201600104.

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14

White, Kevin. "Remote sensing." Progress in Physical Geography: Earth and Environment 17, no. 3 (September 1993): 369–75. http://dx.doi.org/10.1177/030913339301700307.

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15

White, Kevin. "Remote sensing." Progress in Physical Geography: Earth and Environment 18, no. 2 (June 1994): 295–303. http://dx.doi.org/10.1177/030913339401800208.

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16

White, Kevin. "Remote sensing." Progress in Physical Geography: Earth and Environment 19, no. 1 (March 1995): 138–46. http://dx.doi.org/10.1177/030913339501900108.

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17

White, Kevin. "Remote sensing." Progress in Physical Geography: Earth and Environment 20, no. 1 (March 1996): 89–96. http://dx.doi.org/10.1177/030913339602000106.

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18

White, Kevin. "Remote sensing." Progress in Physical Geography: Earth and Environment 21, no. 2 (June 1997): 297–305. http://dx.doi.org/10.1177/030913339702100208.

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19

White, Kevin. "Remote sensing." Progress in Physical Geography: Earth and Environment 22, no. 1 (March 1998): 95–102. http://dx.doi.org/10.1177/030913339802200105.

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20

Donoghue, Daniel N. M. "Remote sensing." Progress in Physical Geography: Earth and Environment 23, no. 2 (June 1999): 271–81. http://dx.doi.org/10.1177/030913339902300207.

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21

Bell, T. E. "Remote sensing." IEEE Spectrum 32, no. 3 (March 1995): 24–31. http://dx.doi.org/10.1109/6.367967.

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22

Cleverly, R. W. "Remote Sensing." Journal of Structural Geology 15, no. 6 (June 1993): 814–15. http://dx.doi.org/10.1016/0191-8141(93)90072-i.

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23

Navalgund, Rangnath R. "Remote sensing." Resonance 7, no. 1 (January 2002): 37–46. http://dx.doi.org/10.1007/bf02836169.

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24

Guo, Fu Qin, and Yuan Qing Wang. "Study of Remote Sensing and Remote Sensing Robot Technology." Applied Mechanics and Materials 214 (November 2012): 914–18. http://dx.doi.org/10.4028/www.scientific.net/amm.214.914.

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Remote sensing robot technology is an emerging research area, which attains a development in recent years. In this paper, the definitions of remote sensing and robot remote sensing will be discussed, and then the remote mines detection technology of RAT-1 eight-wheeled robot, the application of IR-optical sensor in mobile robot for detection and source location of gas leakage, the monitoring of environment intelligent robot on environment and the positioning of mobile robot on targets and other focuses are emphatically introduced, and finally the important problems in each application as well as possible development of remote sensing robot technology are proposed.

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25

Singh, R. N. "Sensing diversifies into remote sensing." Journal of the Indian Society of Remote Sensing 34, no. 4 (December 2006): 437–52. http://dx.doi.org/10.1007/bf02990929.

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26

Dodamani, B. M., R. Anoop, and D. R. Mahajan. "Agricultural Drought Modeling Using Remote Sensing." International Journal of Environmental Science and Development 6, no. 4 (2015): 326–31. http://dx.doi.org/10.7763/ijesd.2015.v6.612.

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27

Chen, Lin, Yi Fu Zhou, and Hao Lu Ma. "Thin Cloud Removal Approach for Yellow River Remote Sensing Monitoring." Advanced Materials Research 631-632 (January 2013): 1348–52. http://dx.doi.org/10.4028/www.scientific.net/amr.631-632.1348.

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Cloud is one of the most common noises of remote sensing monitoring in Yellow River. It is one of the important tasks to remove or weaken the effect of thin cloud. Based on the imaging model and characteristics of thin cloud, some technologic methods to remove cloudy are introduced, such as the method of filtering in space domain, the method of filtering in frequency domain and the method of band ratio. This paper analyzed the characteristics, application method and work flow of those methods, and evaluated the application effect of remote sensing monitoring using these methods in Yellow River. Thin cloud removal method improves the using-efficiency of remote sensing data, and ensures the reliability of remote sensing results.

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28

Harris, Ray, and C. P. Lo. "Applied Remote Sensing." Transactions of the Institute of British Geographers 13, no. 2 (1988): 245. http://dx.doi.org/10.2307/622513.

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29

Miller, Richard L. "Environmental Remote Sensing." Ecology 77, no. 2 (March 1996): 654. http://dx.doi.org/10.2307/2265639.

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30

Bhavsar, P. D. "Acoustic Remote Sensing." MAUSAM 42, no. 4 (February 28, 2022): 431–32. http://dx.doi.org/10.54302/mausam.v42i4.4963.

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31

Geurdes, Johannes F. "Quantum Remote Sensing." Physics Essays 11, no. 3 (September 1998): 367–74. http://dx.doi.org/10.4006/1.3025312.

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32

Aplin, Paul. "Remote sensing: ecology." Progress in Physical Geography: Earth and Environment 29, no. 1 (March 2005): 104–13. http://dx.doi.org/10.1191/030913305pp437pr.

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33

Mather, Paul M. "Teaching remote sensing." Journal of Geography in Higher Education 13, no. 2 (January 1989): 216–20. http://dx.doi.org/10.1080/03098268908709090.

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34

Mishra, Deepak R. "Coastal Remote Sensing." GIScience & Remote Sensing 51, no. 2 (March 4, 2014): 115–19. http://dx.doi.org/10.1080/15481603.2014.895579.

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35

BADRAN, FOUAD, CARLOS MEJIA, SYLVIE THIRIA, and MICHEL CREPON. "REMOTE SENSING OPERATIONS." International Journal of Neural Systems 06, no. 04 (December 1995): 447–53. http://dx.doi.org/10.1142/s0129065795000305.

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We show that Neural Networks can efficiently model multivalued transfer functions. We propose a method related to conditional density approximation p(y/x) and test the validity of the approach on a remote sensing problem.

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36

Curran, Paul, and C. P. Lo. "Applied Remote Sensing." Geographical Journal 154, no. 1 (March 1988): 137. http://dx.doi.org/10.2307/633512.

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37

Abarca Del Río, Rodrigo, and Timothy A. Warner. "Chilean remote sensing." International Journal of Remote Sensing 38, no. 24 (September 26, 2017): 7469–72. http://dx.doi.org/10.1080/01431161.2017.1366107.

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38

King, R. B. "Remote Sensing Geology." Photogrammetric Record 18, no. 104 (December 2003): 332–34. http://dx.doi.org/10.1046/j.0031-868x.2003.024_04.x.

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39

Drury, S. A., and D. A. Rothery. "Remote sensing(PS670)." Geocarto International 5, no. 4 (December 1990): 40. http://dx.doi.org/10.1080/10106049009354285.

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40

CRACKNELL, A. P., and Y. XUE. "Remote Sensing Letters." International Journal of Remote Sensing 17, no. 3 (February 1996): 637–42. http://dx.doi.org/10.1080/01431169608949033.

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41

Vaughan, G. "Laser Remote Sensing." Photogrammetric Record 21, no. 116 (December 2006): 415–17. http://dx.doi.org/10.1111/j.1477-9730.2006.00406_2.x.

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42

Panne, Ulrich. "Laser remote sensing." TrAC Trends in Analytical Chemistry 17, no. 8-9 (August 1998): 491–500. http://dx.doi.org/10.1016/s0165-9936(98)00054-5.

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43

Malingreau, Jean-Paul. "Orbital remote sensing." Space Policy 1, no. 1 (February 1985): 62–75. http://dx.doi.org/10.1016/0265-9646(85)90045-1.

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44

Lodge, James P. "Acoustic remote sensing." Atmospheric Environment. Part A. General Topics 25, no. 8 (January 1991): 1734. http://dx.doi.org/10.1016/0960-1686(91)90037-8.

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45

Moran, M. Susan. "Thermal remote sensing." Agricultural and Forest Meteorology 77, no. 3-4 (December 1995): v—vii. http://dx.doi.org/10.1016/0168-1923(95)02257-x.

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46

Dowling, David R., and Karim G. Sabra. "Acoustic Remote Sensing." Annual Review of Fluid Mechanics 47, no. 1 (January 3, 2015): 221–43. http://dx.doi.org/10.1146/annurev-fluid-010814-014747.

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47

Vaughan, Chair, William M. "Remote Sensing Terminology." Journal of the Air & Waste Management Association 41, no. 11 (November 1991): 1489–93. http://dx.doi.org/10.1080/10473289.1991.10466948.

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48

Lo, C. P. "Applied remote sensing." Geocarto International 1, no. 4 (January 1986): 60. http://dx.doi.org/10.1080/10106048609354071.

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49

Akhavi, M. S. "Remote sensing research." Geocarto International 3, no. 4 (December 1988): 66. http://dx.doi.org/10.1080/10106048809354185.

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50

Bishop, Charlotte, Benoit Rivard, Carlos de Souza Filho, and Freek van der Meer. "Geological remote sensing." International Journal of Applied Earth Observation and Geoinformation 64 (February 2018): 267–74. http://dx.doi.org/10.1016/j.jag.2017.08.005.

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