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Titlebook: Remote Sensing Time Series; Revealing Land Surfa Claudia Kuenzer,Stefan Dech,Wolfgang Wagner Book 2015 Springer International Publishing Sw

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书目名称Remote Sensing Time Series
副标题Revealing Land Surfa
编辑Claudia Kuenzer,Stefan Dech,Wolfgang Wagner
视频videohttp://file.papertrans.cn/827/826901/826901.mp4
概述Provides a comprehensive overview of remote sensing time series analyses, which enable to reveal past and current land surface dynamics.Treats both, the theory and application of time series analyses,
丛书名称Remote Sensing and Digital Image Processing
图书封面Titlebook: Remote Sensing Time Series; Revealing Land Surfa Claudia Kuenzer,Stefan Dech,Wolfgang Wagner Book 2015 Springer International Publishing Sw
描述.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
出版日期Book 2015
关键词Earth Observation and Remote Sensing; Environmental Monitoring and Remote Sensing; Global Environmenta
版次1
doihttps://doi.org/10.1007/978-3-319-15967-6
isbn_softcover978-3-319-35243-5
isbn_ebook978-3-319-15967-6Series ISSN 1567-3200 Series E-ISSN 2215-1842
issn_series 1567-3200
copyrightSpringer International Publishing Switzerland 2015
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,Analysis of Snow Cover Time Series – Opportunities and Techniques,nsing has been used since the early 1970s to map terrestrial snow cover (Brown, J Clim 13:2339–2355, 2000) and both – sensors as well as retrieval algorithms – have undergone a substantial development since that time. This chapter will give a short introduction on how snow cover can be monitored fro
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TIMESAT: A Software Package for Time-Series Processing and Assessment of Vegetation Dynamics, biased noise, and can take missing data and quality flags into account. The software enables the extraction of seasonality parameters, like the beginning and end of the growing season, its length, integrated values, etc. TIMESAT has been used in a large number of applied studies for phenology param
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Land Surface Phenology in a West African Savanna: Impact of Land Use, Land Cover and Fire,ultural land use and fires, in addition to climatic variability. This study analyses the spatio-temporal patterns of land surface phenology in a Sudanian Savanna landscape of southern Burkina Faso based on time series of the Moderate Resolution Spectroradiometer (MODIS), and on multi-temporal Landsa
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