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  • Language: English

    Published by Mdpi AG, 2020

    3039282263 / 9783039282265

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  • Language: English

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  • Language: English

    Published by Mdpi AG, 2020

    3039282263 / 9783039282265

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  • Language: English

    Published by Mdpi AG, 2020

    3039282263 / 9783039282265

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    Language: English

    Published by Mdpi AG, 2020

    3039282263 / 9783039282265

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  • Published by Milano, Franco Angeli Editore, 1983, 1983

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    A Cura di M. A.Toscano. In-8,brossura editoriale,pp.534.Qualche sottolineatura e traccia d'uso a matita ed evidenziatore giallo (leggera).

  • Language: English

    Published by Mdpi AG, 2020

    3039282263 / 9783039282265

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  • Language: English

    Published by Mdpi AG, 2020

    3039282263 / 9783039282265

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  • Language: English

    Published by Mdpi AG, 2020

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    Language: English

    Published by Mdpi AG, 2020

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  • Language: English

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  • Language: English

    Published by MDPI AG, 2020

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    Condition: Hervorragend. Zustand: Hervorragend | Seiten: 308 | Sprache: Englisch | Produktart: Bücher | Crop models and remote sensing techniques have been combined and applied in agriculture and crop estimation on local and regional scales, or worldwide, based on the simultaneous development of crop models and remote sensing. The literature shows that many new remote sensing sensors and valuable methods have been developed for the retrieval of canopy state variables and soil properties from remote sensing data for assimilating the retrieved variables into crop models. At the same time, remote sensing has been used in a staggering number of applications for agriculture. This book sets the context for remote sensing and modelling for agricultural systems as a mean to minimize the environmental impact, while increasing production and productivity. The eighteen papers published in this Special Issue, although not representative of all the work carried out in the field of Remote Sensing for agriculture and crop modeling, provide insight into the diversity and the complexity of developments of RS applications in agriculture. Five thematic focuses have emerged from the published papers: yield estimation, land cover mapping, soil nutrient balance, time-specific management zone delineation and the use of UAV as agricultural aerial sprayers. All contributions exploited the use of remote sensing data from different platforms (UAV, Sentinel, Landsat, QuickBird, CBERS, MODIS, WorldView), their assimilation into crop models (DSSAT, AQUACROP, EPIC, DELPHI) or on the synergy of Remote Sensing and modeling, applied to cardamom, wheat, tomato, sorghum, rice, sugarcane and olive. The intended audience is researchers and postgraduate students, as well as those outside academia in policy and practice.…

  • Language: English

    Published by Mdpi AG, 2020

    3039282263 / 9783039282265

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  • Language: English

    Published by Mdpi AG, 2020

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  • Language: English

    Published by Mdpi AG, 2020

    3039282263 / 9783039282265

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  • Language: English

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    Condition: New. Print on Demand pp. 308.

  • Language: English

    Published by Mdpi AG, 2020

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  • Language: English

    Published by Mdpi AG, 2020

    3039282263 / 9783039282265

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  • Language: English

    Published by MDPI AG, 2020

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Crop models and remote sensing techniques have been combined and applied in agriculture and crop estimation on local and regional scales, or worldwide, based on the simultaneous development of crop models and remote sensing. The literature shows that many new remote sensing sensors and valuable methods have been developed for the retrieval of canopy state variables and soil properties from remote sensing data for assimilating the retrieved variables into crop models. At the same time, remote sensing has been used in a staggering number of applications for agriculture. This book sets the context for remote sensing and modelling for agricultural systems as a mean to minimize the environmental impact, while increasing production and productivity. The eighteen papers published in this Special Issue, although not representative of all the work carried out in the field of Remote Sensing for agriculture and crop modeling, provide insight into the diversity and the complexity of developments of RS applications in agriculture. Five thematic focuses have emerged from the published papers: yield estimation, land cover mapping, soil nutrient balance, time-specific management zone delineation and the use of UAV as agricultural aerial sprayers. All contributions exploited the use of remote sensing data from different platforms (UAV, Sentinel, Landsat, QuickBird, CBERS, MODIS, WorldView), their assimilation into crop models (DSSAT, AQUACROP, EPIC, DELPHI) or on the synergy of Remote Sensing and modeling, applied to cardamom, wheat, tomato, sorghum, rice, sugarcane and olive. The intended audience is researchers and postgraduate students, as well as those outside academia in policy and practice.…

  • Language: English

    Published by MDPI, 2020

    3039282263 / 9783039282265

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    Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnCrop models and remote sensing techniques have been combined and applied in agriculture and crop estimation on local and regional scales, or worldwide, based on the simultaneous development of crop models and remote sensing. The l.…

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    Language: English

    Published by MDPI AG, 2020

    3039282263 / 9783039282265

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    Taschenbuch. Condition: Neu. Remote Sensing Applications for Agriculture and Crop Modelling | Taschenbuch | Kartoniert / Broschiert | Englisch | 2020 | MDPI AG | EAN 9783039282265 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …