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Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659131350 ISBN 13: 9783659131356
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Verlag: LAP LAMBERT Academic Publishing 2012-05-22, 2012
ISBN 10: 3659131350 ISBN 13: 9783659131356
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Verlag: LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206781798 ISBN 13: 9786206781790
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ISBN 10: 3659131350 ISBN 13: 9783659131356
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Taschenbuch. Zustand: 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.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838373081 ISBN 13: 9783838373089
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Taschenbuch. Zustand: 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.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206781798 ISBN 13: 9786206781790
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Taschenbuch. Zustand: 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.
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Verlag: Intech, 2014
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Verlag: LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659131350 ISBN 13: 9783659131356
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Verlag: LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659131350 ISBN 13: 9783659131356
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Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206781798 ISBN 13: 9786206781790
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Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing Sep 2023, 2023
ISBN 10: 6206781798 ISBN 13: 9786206781790
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: 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.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206781798 ISBN 13: 9786206781790
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In den WarenkorbZustand: 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 .
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206781798 ISBN 13: 9786206781790
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Sprache: Englisch
Verlag: LAP Lambert Academic Publishing, 2012
ISBN 10: 3659131350 ISBN 13: 9783659131356
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: 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.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838373081 ISBN 13: 9783838373089
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: 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.