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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659131350 ISBN 13: 9783659131356
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Publicado por LAP LAMBERT Academic Publishing 2012-05-22, 2012
ISBN 10: 3659131350 ISBN 13: 9783659131356
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Publicado por LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206781798 ISBN 13: 9786206781790
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Publicado por LAP Lambert Academic Publishing, 2012
ISBN 10: 3659131350 ISBN 13: 9783659131356
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Añadir al carritoTaschenbuch. Condición: Neu. Assessment of Forest Using Remote Sensing and GIS | Advanced Image Processing Techniques | Shivangi Somvanshi (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2012 | LAP Lambert Academic Publishing | EAN 9783659131356 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838373081 ISBN 13: 9783838373089
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Añadir al carritoTaschenbuch. Condición: Neu. Remote sensing of the atmosphere by ground-based radar | Advanced techniques for rainfall and volcanic ash clouds retrieval | Gianfranco Vulpiani | Taschenbuch | 176 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838373089 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206781798 ISBN 13: 9786206781790
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Añadir al carritoTaschenbuch. Condición: 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.
Librería: Rarewaves.com UK, London, Reino Unido
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Publicado por Intech, 2014
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Añadir al carritoHardcover. Condición: New. ISBN:9789535106524.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Publicado por LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838373081 ISBN 13: 9783838373089
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Publicado por LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659131350 ISBN 13: 9783659131356
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Publicado por LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659131350 ISBN 13: 9783659131356
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Añadir al carritoHRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206781798 ISBN 13: 9786206781790
Librería: Majestic Books, Hounslow, Reino Unido
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Publicado por LAP LAMBERT Academic Publishing Sep 2023, 2023
ISBN 10: 6206781798 ISBN 13: 9786206781790
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 79,90
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The main objective of this book is to propose a systematic approach to estimate crop yield (Paddy, Groundnut) for remote sensing applications using NOAA and Landsat 8 satellite images. In general the received imagery are noisy in nature. So, to tackle this issue spatial and frequency domain based denoising techniques were proposed and discussed in detail by implemented on both NOAA and Landsat 8 images. After this, In this book, empirical crop yield estimation models are proposed for both NOAA and Landsat 8 satellite data to estimate crop yields of both Paddy, groundnut with remote sensing images and meteorological parameters. By this, it can be said that this research work can be used as a secondary opinion in the estimation of crop yield over the study area. 168 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206781798 ISBN 13: 9786206781790
Librería: moluna, Greven, Alemania
EUR 61,15
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kumar Kanagala SateeshK Sateesh Kumar, working as an Assistant Professor in SNIST, Hyderabad. His interested areas are Digital Image Processing, Remote Sensing and Machine Learning etc. Prof. G. Sreenivasulu, working as Professor in .
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206781798 ISBN 13: 9786206781790
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 101,30
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Idioma: Inglés
Publicado por LAP Lambert Academic Publishing, 2012
ISBN 10: 3659131350 ISBN 13: 9783659131356
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 59,71
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As remote sensing data and methods have become increasingly complex and varied - and increasingly reliable - so have their uses in forest assessment and management. New algorithms have been developed in virtually every aspect of image analysis, from classification to enhancements to estimating parameters. Assessment of forest using Remote Sensing and GIS reviews the literature and provides the tools for understanding and choosing remote sensing solutions for management problems. The book presents methods and operational examples of the use of image processing in forest change detection, forest classification, and forest growth modeling. The chapters discuss research issues and the future of remote sensing technologies. The author draws a comprehensive picture of the state of the art in remote sensing data and methods applicable to sustainable forest management issues.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838373081 ISBN 13: 9783838373089
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 68,00
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The weather radar is one of the best sources of information about the impending severe weather, including heavy thundershowers, hail, tornadoes, hurricanes, flooding conditions, and strong wind storms. Because of its spatial and temporal resolution as well as the extended coverage, weather radar is very suitable for such purposes. The use of weather radar is responsible for the savings of many lives each year by providing early warnings and advisories about these situations. In addition to its uses in severe weather, the ability of radar to estimate the amount of rain falling within its field of view provides hydrologists and flood forecasters with valuable information related to crops and agriculture as well as making flood forecasting more accurate. Nevertheless, rainfall rate estimate based on radar measurements is affected by an high degree of uncertainty due to several error sources. This work is aimed at evaluating new procedures for compensating such effects by also resorting to dual-polarization techniques. As a relatively novel field of application, the use of weather radar for volcanic ash monitoring and estimation is also evaluated.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 75,19
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Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The increasing frequency and intensity of weather and climate extremes have led to significant societal and environmental challenges. Recent advancements in satellite remote sensing technologies, including Global Navigation Satellite System (GNSSs) and other space-based techniques, provide critical tools for monitoring atmospheric processes, improving early warning systems, and enhancing climate resilience. This Special Issue reprint brings together 11 studies that explore cutting-edge remote sensing methodologies for severe weather detection, hydrometeorological analysis, and climate monitoring. Key topics include the evaluation of near-real-time satellite precipitation data, GNSS-derived atmospheric water vapor measurements, and the sensitivity of polar mesospheric clouds to mesospheric temperature and water vapor. Several studies in this reprint also address multi-source data fusion techniques to refine precipitation retrievals and improve the detection of weather extremes. Additionally, novel GNSS-based methodologies are explored for atmospheric sounding and hydrometeorological applications. By integrating state-of-the-art atmospheric remote sensing techniques with novel analytical methods, these studies contribute to a deeper understanding of atmospheric dynamics, enhance forecasting accuracy, and support sustainable development initiatives. The findings provide valuable insights for atmospheric monitoring, disaster risk reduction, and the advancement of global meteorological and climate services.