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1

Crespi, Mattia, Carsten Jürgens, Derya Maktav e Karsten Jacobsen. "3D remote sensing and urban remote sensing". International Journal of Remote Sensing 37, n.º 15 (14 de julho de 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, n.º 1-4 (fevereiro de 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, n.º 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, n.º 1 (1 de março de 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, n.º 2 (1 de junho de 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 e M. Wendisch. "Remote Sensing". Meteorological Monographs 58 (1 de janeiro de 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, n.º 2 (março de 2003): 304–6. http://dx.doi.org/10.1080/0950238032000075592.

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8

ROTHERY, DAVID A. "Remote sensing". Geology Today 1, n.º 4 (julho de 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, n.º 2 (dezembro de 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, n.º 12 (dezembro de 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, n.º 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, n.º 1 (março de 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, n.º 1 (março de 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, n.º 3 (setembro de 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, n.º 2 (junho de 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, n.º 1 (março de 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, n.º 1 (março de 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, n.º 2 (junho de 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, n.º 1 (março de 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, n.º 2 (junho de 1999): 271–81. http://dx.doi.org/10.1177/030913339902300207.

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21

Bell, T. E. "Remote sensing". IEEE Spectrum 32, n.º 3 (março de 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, n.º 6 (junho de 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, n.º 1 (janeiro de 2002): 37–46. http://dx.doi.org/10.1007/bf02836169.

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24

Guo, Fu Qin, e Yuan Qing Wang. "Study of Remote Sensing and Remote Sensing Robot Technology". Applied Mechanics and Materials 214 (novembro de 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, n.º 4 (dezembro de 2006): 437–52. http://dx.doi.org/10.1007/bf02990929.

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26

Dodamani, B. M., R. Anoop e D. R. Mahajan. "Agricultural Drought Modeling Using Remote Sensing". International Journal of Environmental Science and Development 6, n.º 4 (2015): 326–31. http://dx.doi.org/10.7763/ijesd.2015.v6.612.

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27

Chen, Lin, Yi Fu Zhou e Hao Lu Ma. "Thin Cloud Removal Approach for Yellow River Remote Sensing Monitoring". Advanced Materials Research 631-632 (janeiro de 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, e C. P. Lo. "Applied Remote Sensing". Transactions of the Institute of British Geographers 13, n.º 2 (1988): 245. http://dx.doi.org/10.2307/622513.

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29

Miller, Richard L. "Environmental Remote Sensing". Ecology 77, n.º 2 (março de 1996): 654. http://dx.doi.org/10.2307/2265639.

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30

Bhavsar, P. D. "Acoustic Remote Sensing". MAUSAM 42, n.º 4 (28 de fevereiro de 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, n.º 3 (setembro de 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, n.º 1 (março de 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, n.º 2 (janeiro de 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, n.º 2 (4 de março de 2014): 115–19. http://dx.doi.org/10.1080/15481603.2014.895579.

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35

BADRAN, FOUAD, CARLOS MEJIA, SYLVIE THIRIA e MICHEL CREPON. "REMOTE SENSING OPERATIONS". International Journal of Neural Systems 06, n.º 04 (dezembro de 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, e C. P. Lo. "Applied Remote Sensing". Geographical Journal 154, n.º 1 (março de 1988): 137. http://dx.doi.org/10.2307/633512.

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37

Abarca Del Río, Rodrigo, e Timothy A. Warner. "Chilean remote sensing". International Journal of Remote Sensing 38, n.º 24 (26 de setembro de 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, n.º 104 (dezembro de 2003): 332–34. http://dx.doi.org/10.1046/j.0031-868x.2003.024_04.x.

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39

Drury, S. A., e D. A. Rothery. "Remote sensing(PS670)". Geocarto International 5, n.º 4 (dezembro de 1990): 40. http://dx.doi.org/10.1080/10106049009354285.

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40

CRACKNELL, A. P., e Y. XUE. "Remote Sensing Letters". International Journal of Remote Sensing 17, n.º 3 (fevereiro de 1996): 637–42. http://dx.doi.org/10.1080/01431169608949033.

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41

Vaughan, G. "Laser Remote Sensing". Photogrammetric Record 21, n.º 116 (dezembro de 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, n.º 8-9 (agosto de 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, n.º 1 (fevereiro de 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, n.º 8 (janeiro de 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, n.º 3-4 (dezembro de 1995): v—vii. http://dx.doi.org/10.1016/0168-1923(95)02257-x.

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46

Dowling, David R., e Karim G. Sabra. "Acoustic Remote Sensing". Annual Review of Fluid Mechanics 47, n.º 1 (3 de janeiro de 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, n.º 11 (novembro de 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, n.º 4 (janeiro de 1986): 60. http://dx.doi.org/10.1080/10106048609354071.

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49

Akhavi, M. S. "Remote sensing research". Geocarto International 3, n.º 4 (dezembro de 1988): 66. http://dx.doi.org/10.1080/10106048809354185.

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50

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

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