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1

Wehner, Donald R. High resolution radar. Artech House, 1987.

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2

Wehner, Donald R. High-resolution radar. 2nd ed. Artech House, 1995.

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3

Development, North Atlantic Treaty Organization Advisory Group for Aerospace Research and. High resolution air- and spaceborne radar. AGARD, 1989.

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4

1947-, Komoroski Richard A., ed. High resolution NMR spectroscopy of synthetic polymers in bulk. VCH Publishers, 1986.

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5

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

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6

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

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7

König, Christine. Eisfernerkundung mit "NOAA-advanced very high resolution radiometer" (AVHRR) und "synthetic aperture radar" (SAR). Bundesamt für Seeschiffahrt und Hydrographie, 1995.

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8

Joanne, White, Mountain Pine Beetle Initiative (Canada), and Pacific Forestry Centre, eds. Detection of red attack stage mountain pine beetle infestation with high spatial resolution satellite imagery. Canadian Forest Service, Pacific Forestry Centre, 2005.

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9

United States. National Aeronautics and Space Administration., ed. Very high resolution UV and X-ray spectroscopy and imagery of solaractive regions: Final report. Lockheed Missiles & Space Company, Inc., 1987.

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10

Nickeson, Jaime. BOREAS level 3-b AVHRR-LAC imagery: Scaled at-sensor radiance in LGSOWG format. National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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11

J, Newcomer, Cihlar Josef, and Goddard Space Flight Center, eds. BOREAS level 3-b AVHRR-LAC imagery: Scaled at-sensor radiance in LGSOWG format. National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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12

J, Newcomer, Cihlar Josef, and Goddard Space Flight Center, eds. BOREAS level 3-b AVHRR-LAC imagery: Scaled at-sensor radiance in LGSOWG format. National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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13

J, Newcomer, Cihlar Josef, and Goddard Space Flight Center, eds. BOREAS level 3-b AVHRR-LAC imagery: Scaled at-sensor radiance in LGSOWG format. National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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14

Maturi, Eileen. An experimental technique for producing moisture corrected imagery from 1 km advanced very high resolution radiometer (AVHRR) data. U.S. Dept. of Commerce, 1986.

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15

Maturi, Eileen. An experimental technique for producing moisture corrected imagery from 1 km Advanced Very High Resolution Radiometer (AVHRR) data. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1986.

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16

Sun, Wanxiao. Land-use classification using high resolution satellite imagery: A new information fusion method : an application in Landau, Germany. Geographisches Institut der Johannes Gutenberg-Universität, 2004.

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17

C, Coops Nicholas, Mountain Pine Beetle Initiative (Canada), and Pacific Forestry Centre, eds. Assessment of QuickBird high spatial resolution imagery to detect red attack damage due to mountain pine beetle infestation. Canadian Forest Service, Pacific Forestry Centre, 2006.

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18

United States. National Aeronautics and Space Administration., ed. Application of high resolution topography and remote sensing: Imagery to the kinematics of fold-and-thrust belts : final report-NAGW-3691. National Aeronautics and Space Administration, 1997.

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19

United States. National Aeronautics and Space Administration., ed. Application of high resolution topography and remote sensing: Imagery to the kinematics of fold-and-thrust belts : final report-NAGW-3691. National Aeronautics and Space Administration, 1997.

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20

United States. National Aeronautics and Space Administration., ed. Applications of GOES-8/9 data to hurricane analysis. National Aeronautics and Space Administration, 1995.

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21

United States. National Aeronautics and Space Administration., ed. Applications of GOES-8/9 data to hurricane analysis. National Aeronautics and Space Administration, 1995.

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22

Stout, Mark. Exploiting the new high resolution satellite imagery : Darwinian imperatives? =: L'exploitation de la nouvelle imagerie satellitaire haute résolution : des impératifs darwiniens? Canadian Security Intelligence Service = Service canadien du renseignement de sécurité, 1998.

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23

Los, Sietse Oene. Linkages between global vegetation and climate: An analysis based on NOAA advanced very high resolution radiometer data : contract NAS-31752. National Aeronautics and Space Administration, Goddard Space Flight Center, 1998.

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24

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. Pacific Forestry Centre, 1999.

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25

Smith, William L. The analysis of polar clouds from AVHRR satellite data using pattern recognition techniques: Final report. Space Science and Engineering Center, University of Wisconsin-Madison, 1990.

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26

Chen, Jing. BOREAS RSS-7 regional LAI and FPAR images from 10-day AVHRR-LAC composites. National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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27

Jing, Chen. BOREAS RSS-7 regional LAI and FPAR images from 10-day AVHRR-LAC composites. National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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28

Jing, Chen. BOREAS RSS-7 regional LAI and FPAR images from 10-day AVHRR-LAC composites. National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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29

Jing, Chen. BOREAS RSS-7 regional LAI and FPAR images from 10-day AVHRR-LAC composites. National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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30

University, San Diego State, and United States. National Aeronautics and Space Administration., eds. Orthorectified high resolution multispectral imagery for application to change detection and analysis: EOCAP applications business review, October 20, 1997 : project start date: September 15, 1994; project end date: September 14, 1997. Positive Systems, Inc., 1997.

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31

University, San Diego State, and United States. National Aeronautics and Space Administration., eds. Orthorectified high resolution multispectral imagery for application to change detection and analysis: EOCAP applications business review, October 20, 1997 : project start date: September 15, 1994; project end date: September 14, 1997. Positive Systems, Inc., 1997.

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32

Emery, William. Sea ice motions in the central Arctic ice central arctic pack ice as inferred from AVHRR imagery: Annual progress report to the National Aeronautics and Space Administration. National Aeronautics and Space Administration, 1993.

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33

A, Maslanik James, Fowler Charles, and United States. National Aeronautics and Space Administration., eds. Sea ice motions in the central Arctic ice central arctic pack ice as inferred from AVHRR imagery: Final progress report to the National Aeronautics and Space Administration. The Administration, 1995.

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34

Sirindhorn. Rāingān wičhai kānsưksā khwāmthūktō̜ng khō̜ng phǣnthī kānchai thīdin čhāk phāpthāi dāothīam rāilaʻīat sūng sưng čhamnǣk dōi khō̜mphiutœ̄ bō̜riwēn Čhangwat Narāthiwāt =: The study of land use/land cover map accuracy using digital high resolution imagery for Narathiwat Province. Samnakngān Khana Kammakān Wičhai hǣng Chāt, 1989.

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35

Carlson, Toby N. A remotely sensed index of deforestation/urbanization for use in climate models: Annual performance report for the period 1 January 1995 - 31 December 1995. Pennsylvania State University, 1995.

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36

Carlson, Toby N. A remotely sensed index of deforestation/urbanization for use in climate models: Annual performance report for the period 1 January 1995 - 31 December 1995. Pennsylvania State University, 1995.

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37

High resolution optical satellite imagery. Whittles Publishing, 2012.

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38

Konecny, Gottfried, Rainer Sandau, Karsten Jacobsen, and Ian Dowman. High Resolution Optical Satellite Imagery. Whittles Publishing Ltd, 2021.

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39

Konecny, Gottfried, Rainer Sandau, Karsten Jacobsen, and Ian Dowman. High Resolution Optical Satellite Imagery. Taylor & Francis Group, 2012.

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40

Dowman, Professor Ian. High Resolution Optical Satellite Imagery. Whittles Publishing Ltd, 2012.

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41

High Resolution Optical Satellite Imagery. Whittles Publishing Ltd, 2012.

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42

Scanlon, Randy J. Mesoscale applications of high resolution imagery. 1987.

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43

Sei, Alain. Atmospheric Correction of Moderate- and High-Resolution Satellite Imagery. SPIE, 2019. http://dx.doi.org/10.1117/3.2533493.

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44

Very High Resolution (VHR) Satellite Imagery: Processing and Applications. MDPI, 2019. http://dx.doi.org/10.3390/books978-3-03921-757-1.

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45

Komoroski. High-Resolution Nmr Spectroscopy of Synthetic Polymers in Bulk. John Wiley & Sons Inc, 1986.

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46

Texture Analysis of High Resolution Panchromatic Imagery for Terrain Classification. Storming Media, 2003.

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47

Komoroski, R. A. High-resolution Nuclear Magnetic Resonance Spectroscopy of Synthetic Polymers in Bulk. VCH Verlagsgesellschaft,Germany, 1986.

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48

Buddhiraju, Krishna Mohan. Analysis of High Spatial Resolution Remote Sensing Imagery: An Object Based Approach. Taylor & Francis Group, 2019.

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49

Buddhiraju, Krishna Mohan. Analysis of High Spatial Resolution Remote Sensing Imagery: An Object Based Approach. Taylor & Francis Group, 2019.

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50

Buddhiraju, Krishna Mohan. Analysis of High Spatial Resolution Remote Sensing Imagery: An Object Based Approach. Taylor & Francis Group, 2019.

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