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Remote sensing time series = reveali...

Kuenzer, Claudia.

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Remote sensing time series = revealing land surface dynamics /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Remote sensing time series/ edited by Claudia Kuenzer, Stefan Dech, Wolfgang Wagner.
Reminder of title:	revealing land surface dynamics /
other author:	Kuenzer, Claudia.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	xxiii, 441 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Global environmental change - Remote sensing. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-15967-6
ISBN:	9783319159676 (electronic bk.)

Remote sensing time series = revealing land surface dynamics /
Remote sensing time seriesrevealing land surface dynamics /[electronic resource] :edited by Claudia Kuenzer, Stefan Dech, Wolfgang Wagner. - Cham :Springer International Publishing :2015. - xxiii, 441 p. :ill., digital ;24 cm. - Remote sensing and digital image processing,v.221567-3200 ;. - Remote sensing and digital image processing ;v.16..

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.

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 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.

ISBN: 9783319159676 (electronic bk.)

Standard No.: 10.1007/978-3-319-15967-6doiSubjects--Topical Terms:

625181
Global environmental change
--Remote sensing.

LC Class. No.: GE149

Dewey Class. No.: 363.7063

Remote sensing time series = revealing land surface dynamics /
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245 0 0 $a Remote sensing time series $h [electronic resource] : $b revealing land surface dynamics / $c edited by Claudia Kuenzer, Stefan Dech, Wolfgang Wagner.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xxiii, 441 p. : $b ill., digital ; $c 24 cm.
490 1 $a Remote sensing and digital image processing, $x 1567-3200 ; $v v.22
505 0 $a 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.
520 $a 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 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.
650 0 $a Global environmental change $x Remote sensing. $3 625181
650 0 $a Environmental monitoring $x Remote sensing. $3 555976
650 0 $a Land use $x Remote sensing. $3 755109
650 0 $a Time-series analysis. $3 532530
650 1 4 $a Geography. $3 524010
650 2 4 $a Remote Sensing/Photogrammetry. $3 890882
650 2 4 $a Environmental Monitoring/Analysis. $3 898903
650 2 4 $a Physical Geography. $3 893400
700 1 $a Kuenzer, Claudia. $3 1619373
700 1 $a Dech, Stefan. $3 2145441
700 1 $a Wagner, Wolfgang. $3 752083
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Remote sensing and digital image processing ; $v v.16. $3 1567680
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-15967-6
950 $a Earth and Environmental Science (Springer-11646)