Details

Remote Sensing Time Series


Remote Sensing Time Series

Revealing Land Surface Dynamics
Remote Sensing and Digital Image Processing, Band 22

von: Claudia Kuenzer, Stefan Dech, Wolfgang Wagner

171,19 €

Verlag: Springer
Format: PDF
Veröffentl.: 28.04.2015
ISBN/EAN: 9783319159676
Sprache: englisch

Dieses eBook enthält ein Wasserzeichen.

Beschreibungen

<p>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.   </p>
Tentative with international authorship from DFD, IMF, ESA, NASA, USGS etc.- Snow dynamics in Europe over the past 30 years.- Dynamic of net primary productivity in Europe.- Biomass development in Kasachsthan.- Land degradation in South Africa.- Land cover and land use change in central Asia.- Vegetation dynamics in western Africa.- Dynamics of soil moisture in the Mekong Basin.- Temperature trends in the Mekong Basin.- Landcover dynamics during the past decade in the Mekong Basin.- Coastal zone dynamics of the yellow river delta.- Landcover change in the yellow river delta.- Flood dynamics in the Mekong delta.
<p> </p><p>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: 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 reviewand 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. </p><p>
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, containing numerous case studies for different regions on our planet; employing different types of optical and radar based Earth Observation satellite sensors Enriches reader insights into the current challenges processing long term time series in times of a growing number of free satellite data archives and an ever growing number of sensors in orbit Contains contributions from renowned remote sensing scientists from Europe, the USA and China

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