Language: English
Published by The International Society for Optical Engineering, Bellingham, WA, U.S.A., 1982
ISBN 10: 0892523808 ISBN 13: 9780892523801
Seller: SUNSET BOOKS 2, Newark, OH, U.S.A.
First Edition
Soft cover. Condition: Very Good. No Jacket. 1st Edition. Has all standard Library markings, pocket, labels, stamps, wear and soil to covers. CLEAN TEXT. Thank you for your purchase from Sunset Books! Help Promote World Literacy, GIVE a Book as a GIFT!! In stock, Ships from Ohio. Will not fit in Flat Rate Priority Mail envelope. USPS Variable Rate applies for Domestic or International Priority mail. WE COMBINE SHIPPING ON MULTIPLE PURCHASES!!!! Size: 4to. Ex-Library.
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Language: English
Published by European Space Agency, 1987
Seller: MLBooks, Itteville, France
Couverture souple. Condition: Très bon. Brochure ESA SP-1075 Revision 1.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by Taylor & Francis Ltd, London, 2023
ISBN 10: 1032475870 ISBN 13: 9781032475875
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Paperback. Condition: new. Paperback. Written by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews existing state-of-the-art knowledge, highlights advances made in different areas, and provides guidance for the appropriate use of hyperspectral data in the study and management of agricultural crops and natural vegetation.Volume IV, Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation discusses the use of hyperspectral or imaging spectroscopy data in numerous specific and advanced applications, such as forest management, precision farming, managing invasive species, and local to global land cover change detection. It emphasizes the importance of hyperspectral remote sensing tools for studying vegetation processes and functions as well as the appropriate use of hyperspectral data for vegetation management practices. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume IV through the editors perspective.Key Features of Volume IV: Guides readers to harness the capabilities of the most recent advances in applying hyperspectral remote sensing technology to the study of terrestrial vegetation. Includes specific applications on agriculture, crop management practices, study of crop stress and diseases, crop characteristics based on inputs (e.g., nitrogen, irrigation), study of vegetation impacted by heavy metals, gross and net primary productivity studies, light use efficiency studies, crop water use and actual evapotranspiration studies, phenology monitoring, land use and land cover studies, global change studies, plant species detection, wetland and forest characterization and mapping, crop productivity and crop water productivity mapping, and modeling. Encompasses hyperspectral or imaging spectroscopy data in narrow wavebands used across visible, red-edge, near-infrared, far-infrared, shortwave infrared, and thermal portions of the spectrum. Explains the implementation of hyperspectral remote sensing data processing mechanisms in a standard, fast, and efficient manner for their applications. Discusses cloud computing to overcome hyperspectral remote sensing massive big data challenges. Provides hyperspectral analysis of rocky surfaces on the earth and other planetary systems. This volume discusses the use of hyperspectral data in numerous applications such as forest management, precision farming, monitoring invasive species, local to global land cover change detection, crop yield modeling and crop moisture assessment. Also emphasizes the importance of hyperspectral remote sensing tools for studying v Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Language: English
Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032475870 ISBN 13: 9781032475875
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Language: English
Published by Taylor & Francis Ltd, London, 2023
ISBN 10: 1032475870 ISBN 13: 9781032475875
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Paperback. Condition: new. Paperback. Written by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews existing state-of-the-art knowledge, highlights advances made in different areas, and provides guidance for the appropriate use of hyperspectral data in the study and management of agricultural crops and natural vegetation.Volume IV, Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation discusses the use of hyperspectral or imaging spectroscopy data in numerous specific and advanced applications, such as forest management, precision farming, managing invasive species, and local to global land cover change detection. It emphasizes the importance of hyperspectral remote sensing tools for studying vegetation processes and functions as well as the appropriate use of hyperspectral data for vegetation management practices. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume IV through the editors perspective.Key Features of Volume IV: Guides readers to harness the capabilities of the most recent advances in applying hyperspectral remote sensing technology to the study of terrestrial vegetation. Includes specific applications on agriculture, crop management practices, study of crop stress and diseases, crop characteristics based on inputs (e.g., nitrogen, irrigation), study of vegetation impacted by heavy metals, gross and net primary productivity studies, light use efficiency studies, crop water use and actual evapotranspiration studies, phenology monitoring, land use and land cover studies, global change studies, plant species detection, wetland and forest characterization and mapping, crop productivity and crop water productivity mapping, and modeling. Encompasses hyperspectral or imaging spectroscopy data in narrow wavebands used across visible, red-edge, near-infrared, far-infrared, shortwave infrared, and thermal portions of the spectrum. Explains the implementation of hyperspectral remote sensing data processing mechanisms in a standard, fast, and efficient manner for their applications. Discusses cloud computing to overcome hyperspectral remote sensing massive big data challenges. Provides hyperspectral analysis of rocky surfaces on the earth and other planetary systems. This volume discusses the use of hyperspectral data in numerous applications such as forest management, precision farming, monitoring invasive species, local to global land cover change detection, crop yield modeling and crop moisture assessment. Also emphasizes the importance of hyperspectral remote sensing tools for studying v Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Language: English
Published by LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206781798 ISBN 13: 9786206781790
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Language: English
Published by CRC Press (edition 2), 2018
ISBN 10: 1138364762 ISBN 13: 9781138364769
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Hardcover. Condition: Very Good. 2. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Language: English
Published by Academic Press 2012-12-09, 2012
ISBN 10: 0123859549 ISBN 13: 9780123859549
Seller: Chiron Media, Wallingford, United Kingdom
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Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3838329937 ISBN 13: 9783838329932
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Taschenbuch. Condition: Neu. Advanced Processing of Remote Sensing Data for Land Use and Land Cover | Concepts, Methods, Applications | Alexander Zamyatin | Taschenbuch | 232 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783838329932 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Language: English
Published by LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206781798 ISBN 13: 9786206781790
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Advanced Image Processing Techniques for Remote Sensing Applications | A Systematic Approach to Estimate Crop Yield using NOAA/Landsat 8 Satellites Data Through Denoising and Enhancement | Kanagala Sateesh Kumar (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206781790 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.