Remote sensing advanced techniques (35 resultados)

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Taschenbuch. 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. …

Taschenbuch. 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.…

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Taschenbuch. 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.…

Taschenbuch. 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.…

Condición: 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 .…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…

Buch. 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.…