Remote sensing time series (29 Ergebnisse)

Zustand: New.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Paperback. Zustand: Brand New. 114 pages. 8.50x5.44x0.43 inches. In Stock.

Zustand: New. pp. 264.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Taschenbuch. Zustand: Neu. Advanced Environmental Monitoring with Remote Sensing Time Series Data and R | Alexandra Gemitzi (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2023 | CRC Press | EAN 9781032475073 | Verantwortliche Person für die EU: Taylor and Francis, Taylor & Francis Verlag Gmbh, Kaufingerstr 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu.…

Paperback. Zustand: Brand New. 264 pages. 9.21x6.14x0.75 inches. In Stock.

Taschenbuch. Zustand: Neu. Dr. Pei-Gee Ho dissertation | MULTIVARIATE TIME SERIES MODEL BASED SUPPORT VECTOR MACHINE FOR MULTICLASS REMOTE SENSING IMAGE CLASSIFICATION AND REGION SEGMENTATION | Pei-Gee Ho | Taschenbuch | 124 S. | Englisch | 2009 | LAP LAMBERT Academic Publishing | EAN 9783838303529 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Zustand: New.

Hardcover. Zustand: Brand New. 112 pages. 8.50x5.50x0.50 inches. In Stock.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Satellite and airborne Remote Sensing for observing the earth surface, land monitoring and geographical information systems control are issues in world¿s daily life. The source of information was primarily acquired by imaging sensors and spectroradiometer in remote sensing multi-spectral image stack format. The contextual information between pixels or pixel vectors is characterized by a time series model for image processing in the remote sensing. Due to the nature of remote sensing images such as SAR and TM which are mostly in multi-spectral image stack format, a 2-D Multivariate Vector AR (ARV) time series model with pixel vectors of multiple elements are formulated. To compute the time series ARV system parameter matrix and estimate the error covariance matrix efficiently, a new method based on modern numerical analysis is developed. As for pixel classification, the powerful Support Vector Machine (SVM) kernel based learning machine is applied. The 2-D multivariate time series model is particularly suitable to capture the rich contextual information in single and multiple images at the same time.…

Buch. Zustand: Neu. Neuware - This book provides a step-by-step guide on how to use various publicly available remotely sensed time series data sources for environmental monitoring and assessment. Readers will learn how to extract valuable information on global changes from a 20-year collection of ready-to-use remotely sensed data through the free open statistical software R and its geographic data analysis and modeling tools. The case studies are from the Mediterranean region-a designated hot spot regarding climate change effects. Each chapter is dedicated to specific remote sensing products chosen for their spatial resolution. The methods used are adapted from large-scale to smaller-scale problems for different land cover areas.Features - Includes real-world applications of environmental remotely sensed data - Analyzes the advantages and restrictions of each data source - Focuses on a wide spectrum of applications, such as hydrology, vegetation changes, land surface temperature, fire detection, and impacts - Includes R computer codes with explanatory comments and all applications use only freely available remotely sensed data - Presents a step-by-step processing through open source GIS and statistical analysis software Advanced Environmental Monitoring with Remote Sensing Time Series Data and R describes and provides details on recent advances concerning publicly available remotely sensed time series data in environmental monitoring and assessment. This book is a must-have practical guide for environmental researchers, professionals, and students.…

Soft cover. Zustand: New. x, 426 pages : illustrations (some color), maps (some color) ; 30 cm. Proceedings of the Third International Conference on Remote Sensing in Archaeology held in Tiruchirappalli, Tamil Nadu, India, in August 2009.

Zustand: New.

Zustand: New.

Taschenbuch. Zustand: Neu. Remote Sensing Time Series | Revealing Land Surface Dynamics | Claudia Kuenzer (u. a.) | Taschenbuch | Remote Sensing and Digital Image Processing | xxiii | Englisch | 2016 | Springer | EAN 9783319352435 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume comprises an outstanding variety of chapters on Earth Observation based time series analyses, undertaken to reveal past and current land surface dynamics for large areas. What exactly are time series of Earth Observation data Which sensors are available to generate real time series How can they be processed to reveal their valuable hidden information Which challenges are encountered on the way and which pre-processing is needed And last but not least: which processes can be observed How are large regions of our planet changing over time and which dynamics and trends are visible These and many other questions are answered within this book 'Remote Sensing Time Series Analyses - Revealing Land Surface Dynamics'. Internationally renowned experts from Europe, the USA and China present their exciting findings based on the exploitation of satellite data archives from well-known sensors such as AVHRR, MODIS, Landsat, ENVISAT, ERS and METOP amongst others. Selected review and methods chapters provide a good overview over time series processing and the recent advances in the optical and radar domain. A fine selection of application chapters addresses multi-class land cover and land use change at national to continental scale, the derivation of patterns of vegetation phenology, biomass assessments, investigations on snow cover duration and recent dynamics, as well as urban sprawl observed over time.…

Zustand: New. Dr. Qihao Weng is the Director of the Center for Urban and Environmental Change and a Professor of geography at Indiana State University, USA. He was a visiting NASA Senior Fellow (2008-09). Dr. Weng is a Guest/Adjunct Professor of sever.

Paperback. Zustand: Brand New. reprint edition. 464 pages. 9.25x6.10x1.10 inches. In Stock.

Hardcover. Zustand: Brand New. 2015 edition. 441 pages. 9.25x6.50x1.50 inches. In Stock.

Buch. Zustand: Neu. Neuware.