Remote Sensing Time Series

Revealing Land Surface Dynamics

  • Claudia Kuenzer
  • Stefan Dech
  • Wolfgang Wagner

Part of the Remote Sensing and Digital Image Processing book series (RDIP, volume 22)

Table of contents

  1. Front Matter
    Pages i-xxiii
  2. Patrick Hostert, Patrick Griffiths, Sebastian van der Linden, Dirk Pflugmacher
    Pages 25-41
  3. Martin Bachmann, Padsuren Tungalagsaikhan, Thomas Ruppert, Stefan Dech
    Pages 43-74
  4. Andreas J. Dietz, Claudia Kuenzer, Stefan Dech
    Pages 75-98
  5. Igor Klein, Andreas J. Dietz, Ursula Gessner, Claudia Kuenzer
    Pages 99-117
  6. Rasmus Fensholt, Stephanie Horion, Torbern Tagesson, Andrea Ehammer, Kenneth Grogan, Feng Tian et al.
    Pages 159-182
  7. Rasmus Fensholt, Stephanie Horion, Torbern Tagesson, Andrea Ehammer, Kenneth Grogan, Feng Tian et al.
    Pages 183-202
  8. Ursula Gessner, Kim Knauer, Claudia Kuenzer, Stefan Dech
    Pages 203-223
  9. Markus Niklaus, Christina Eisfelder, Ursula Gessner, Stefan Dech
    Pages 247-267
  10. David P. Roy, Valeriy Kovalskyy, Hankui Zhang, Lin Yan, Indrani Kommareddy
    Pages 289-305
  11. Christiane Schmullius, Christian Thiel, Carsten Pathe, Maurizio Santoro
    Pages 323-356
  12. Daniel Sabel, Vahid Naeimi, Felix Greifeneder, Wolfgang Wagner
    Pages 357-381
  13. Xinwu Li, Huadong Guo, Huaining Yang, Zhongchang Sun, Lu Zhang, Shiyong Yan et al.
    Pages 401-426

About this book

Introduction

 

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.

Keywords

Earth Observation and Remote Sensing Environmental Monitoring and Remote Sensing Global Environmental Change Land Surface Dynamics Satellite Data Analysis Time Series Analysis

Editors and affiliations

  • Claudia Kuenzer
    • 1
  • Stefan Dech
    • 2
  • Wolfgang Wagner
    • 3
  1. 1.German Remote Sensing Data Center, DFDGerman Aerospace Center, DLRWesslingGermany
  2. 2.German Remote Sensing Data Center, DFDGerman Aerospace Center, DLRWesslingGermany
  3. 3.Department of Geodesy and GeoinformationVienna University of TechnologyViennaAustria

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-15967-6
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Earth and Environmental Science
  • Print ISBN 978-3-319-15966-9
  • Online ISBN 978-3-319-15967-6
  • Series Print ISSN 1567-3200
  • Series Online ISSN 2215-1842
  • About this book
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