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1

Klokočník, J. Satellite altimetry and its use in geoscience. Výzkumný ústav geodetický, topografický a kartografický, 1994.

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2

1945-, Rummel R., and Sansò F. 1945-, eds. Satellite altimetry in geodesy and oceanography. Springer-Verlag, 1993.

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3

Walton, Charles. The AVHRR/HIRS operational method for satellite based sea surface temperature determination. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1987.

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4

United States. National Aeronautics and Space Administration., ed. TIMED Imaging Photometer Experiment (TIPE): Descoped version summary / pricipal investigator Stephen B. Mende. National Aeronautics and Space Administration, 1994.

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5

Sirota, A. M. Ispolʹzovanie sputnikovoĭ alʹtimetrii dli︠a︡ diagnoza promyslovo-okeanologicheskikh usloviĭ v Atlanticheskom i i︠u︡go-vostochnoĭ chasti Tikhogo okeanov. AtlantNIRO, 2004.

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6

International Workshop on Satellite Altimetry (2002 Wuhan, China). Satellite altimetry for geodesy, geophysics and oceanography: Proceedings of the International Workshop on Satellite Altimetry : a joint workshop of IAG Section III Special Study Group SSG3.186 and IAG Section II : September 8-13, 2002, Wuhan, China. Springer-Verlag, 2004.

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7

Birkenheuer, Daniel. The initial formulation of a technique to employ gradient information in a simple variational minimization scheme. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Oceanic and Atmospheric Research Laboratories, Earth System Research Laboratory, 2006.

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8

S, Velden Christopher, and United States. National Aeronautics and Space Administration., eds. Upper-tropospheric winds derived from geostationary satellite water vapor observations. National Aeronautics and Space Administration, 1997.

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9

United States. National Aeronautics and Space Administration., ed. A remote-sensing based technique to account for sub-grid scale variability of land surface properties. National Aeronautics and Space Administration, 1995.

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10

Kruse, Lars Peter. Spatial and temporal distribution of atmospheric water vapor using space geodetic techniques. Schweizerische Geodätische Kommission, 2001.

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11

Latino-American Seminar on Radar Remote Sensing (1st 1996 Buenos Aires, Argentina). First Latino-American Seminar on Radar Remote Sensing: Image processing techniques = Primeras Jornadas Latinoamericanas de Percepción Remota por Radar : técnicas de procesamiento de imágenes, Buenos Aires, Argentina, 2-4 December 1996. ESA Publications Division, 1997.

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12

Latino-American Seminar on Radar Remote Sensing (1st 1996 Buenos Aires, Argentina). First Latino-American Seminar on Radar Remote Sensing: Image processing techniques : Buenos Aires, Argentina, 2-4 December 1996 = Primeras Jornadas Latinoamericanas de Percepción Remota por Radar = técnicas de procesamiento de imágenes : Buenos Aires, Argentina, 2-4 December 1996. European Space Agency, 1997.

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13

Flechtner, Frank M. System Earth via Geodetic-Geophysical Space Techniques. Springer-Verlag Berlin Heidelberg, 2010.

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14

Lasaponara, Rosa, and Nicola Masini, eds. Satellite Remote Sensing. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-90-481-8801-7.

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15

Li, Jindong. Satellite Remote Sensing Technologies. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-4871-0.

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16

National Council for Educational Technology. Remote sensing by satellite. NCET, 1989.

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17

1931-, Saltzman Barry, ed. Satellite oceanic remote sensing. Academic Press, 1985.

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18

Carleton, Andrew M. Satellite remote sensing in climatology. Belhaven Press, 1991.

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19

Qu, John J., Wei Gao, Menas Kafatos, Robert E. Murphy, and Vincent V. Salomonson, eds. Earth Science Satellite Remote Sensing. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-37293-6.

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20

Qu, John J., Wei Gao, Menas Kafatos, Robert E. Murphy, and Vincent V. Salomonson, eds. Earth Science Satellite Remote Sensing. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-37294-3.

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21

Alfredo, Huete, ed. Fundamentals of satellite remote sensing. Taylor & Francis, 2010.

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22

Chuvieco, Emilio. Fundamentals of satellite remote sensing. Taylor & Francis, 2010.

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23

Alfredo, Huete, ed. Fundamentals of satellite remote sensing. Taylor & Francis, 2009.

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24

W, Reinisch B., and United States. National Aeronautics and Space Administration., eds. Instrument technology for magnetosphere plasma imaging from high earth orbit: Design of a radio plasma sounder. National Aeronautics and Space Administration, 1995.

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25

Ndehedehe, Christopher. Satellite Remote Sensing of Terrestrial Hydrology. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99577-5.

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26

Kokhanovsky, Alexander A., and Gerrit de Leeuw, eds. Satellite Aerosol Remote Sensing over Land. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-69397-0.

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27

Szekielda, Karl-Heinz, ed. Satellite Remote Sensing for Resources Development. Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-011-7364-3.

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28

Hanes, Jonathan M., ed. Biophysical Applications of Satellite Remote Sensing. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-25047-7.

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29

Karl-Heinz, Szekielda, United Nations. Dept. of Technical Cooperation for Development, and Deutsche Stiftung für Internationale Entwicklung, eds. Satellite remote sensing for resources development. Graham & Trotman, 1985.

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30

Berger, Zeev. Satellite Hydrocarbon Exploration: Interpretation and Integration Techniques. Springer London, Limited, 2012.

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31

Berger, Zeev. Satellite Hydrocarbon Exploration: Interpretation and Integration Techniques. Springer London, Limited, 2012.

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32

Davidson, David B., Karl F. Warnick, Rob Maaskant, Marianna V. Ivashina, and Brian D. Jeffs. Phased Arrays for Radio Astronomy, Remote Sensing, and Satellite Communications. University of Cambridge ESOL Examinations, 2018.

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33

Davidson, David B., Karl F. Warnick, Rob Maaskant, Marianna V. Ivashina, and Brian D. Jeffs. Phased Arrays for Radio Astronomy, Remote Sensing, and Satellite Communications. Cambridge University Press, 2018.

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34

Sevugan, Prabu, and P. Swarnalatha. Big Data Analytics for Satellite Image Processing and Remote Sensing. IGI Global, 2018.

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35

Cazenave, Anny, and Lee-Lueng Fu. Satellite Altimetry and Earth Sciences: A Handbook of Techniques and Applications. Elsevier Science & Technology Books, 2000.

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36

Singh, Upendra, and Gelsomina Pappalardo. Remote Sensing of Clouds and the Atmosphere Xvii; and Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing Viii. SPIE, 2012.

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37

(Editor), Lee-Lueng Fu, and Anny Cazenave (Editor), eds. Satellite Altimetry and Earth Sciences: A Handbook of Techniques and Applications (International Geophysics). Academic Press, 2000.

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38

Satellite Altimetry over Oceans and Land Surfaces. Taylor & Francis Group, 2019.

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39

Cazenave, Anny, and Detlef Stammer. Satellite Altimetry over Oceans and Land Surfaces. Taylor & Francis Group, 2017.

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40

Cazenave, Anny, and Detlef Stammer. Satellite Altimetry over Oceans and Land Surfaces. Taylor & Francis Group, 2017.

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41

Cazenave, Anny, and Detlef Stammer. Satellite Altimetry over Oceans and Land Surfaces. Taylor & Francis Group, 2017.

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42

Satellite Altimetry over Oceans and Land Surfaces. Taylor & Francis Group, 2017.

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43

Monitoring and predicting tropical cyclone movement using geosynchronous satellite remote sensing techniques. National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1987.

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44

Schulz, Hans, K. Hoffmann, P. Altmeyer, and C. Schulz. Auflichtmikroskopische Vitalhistologie: Dermatologischer Leitfaden. Springer, 2001.

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45

(Editor), Cheinway Hwang, C. K. Shum (Editor), and Jiancheng Li (Editor), eds. Satellite Altimetry for Geodesy, Geophysics and Oceanography (International Association of Geodesy Symposia). Springer, 2004.

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46

A remote-sensing based technique to account for sub-grid scale variability of land surface properties. National Aeronautics and Space Administration, 1995.

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47

A remote-sensing based technique to account for sub-grid scale variability of land surface properties. National Aeronautics and Space Administration, 1995.

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48

A remote-sensing based technique to account for sub-grid scale variability of land surface properties. National Aeronautics and Space Administration, 1995.

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49

Cresson, Rémi. Deep Learning for Remote Sensing Images with Open Source Software. Taylor & Francis Group, 2020.

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50

Cresson, Rémi. Deep Learning for Remote Sensing Images with Open Source Software. Taylor & Francis Group, 2020.

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