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Remote Sensing Time Series

Revealing Land Surface Dynamics

  • Book
  • © 2015

Overview

Editors:
  1. Claudia Kuenzer

    1. German Remote Sensing Data Center, DFD, German Aerospace Center, DLR, Wessling, Germany

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  2. Stefan Dech

    1. German Remote Sensing Data Center, DFD, German Aerospace Center, DLR, Wessling, Germany

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  3. Wolfgang Wagner

    1. Department of Geodesy and Geoinformation, Vienna University of Technology, Vienna, Austria

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  • 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

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

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Table of contents (20 chapters)

  1. Front Matter

    Pages i-xxiii
    Download chapter PDF

  2. Remote Sensing Time Series Revealing Land Surface Dynamics: Status Quo and the Pathway Ahead

    • Claudia Kuenzer, Stefan Dech, Wolfgang Wagner
    Pages 1-24

  3. Time Series Analyses in a New Era of Optical Satellite Data

    • Patrick Hostert, Patrick Griffiths, Sebastian van der Linden, Dirk Pflugmacher
    Pages 25-41

  4. Calibration and Pre-processing of a Multi-decadal AVHRR Time Series

    • Martin Bachmann, Padsuren Tungalagsaikhan, Thomas Ruppert, Stefan Dech
    Pages 43-74

  5. Analysis of Snow Cover Time Series – Opportunities and Techniques

    • Andreas J. Dietz, Claudia Kuenzer, Stefan Dech
    Pages 75-98

  6. Global WaterPack: Intra-annual Assessment of Spatio-Temporal Variability of Inland Water Bodies

    • Igor Klein, Andreas J. Dietz, Ursula Gessner, Claudia Kuenzer
    Pages 99-117

  7. Analysing a 13 Years MODIS Land Surface Temperature Time Series in the Mekong Basin

    • Corinne Myrtha Frey, Claudia Kuenzer
    Pages 119-140

  8. TIMESAT: A Software Package for Time-Series Processing and Assessment of Vegetation Dynamics

    • Lars Eklundh, Per Jönsson
    Pages 141-158

  9. Assessment of Vegetation Trends in Drylands from Time Series of Earth Observation Data

    • Rasmus Fensholt, Stephanie Horion, Torbern Tagesson, Andrea Ehammer, Kenneth Grogan, Feng Tian et al.
    Pages 159-182

  10. Assessing Drivers of Vegetation Changes in Drylands from Time Series of Earth Observation Data

    • Rasmus Fensholt, Stephanie Horion, Torbern Tagesson, Andrea Ehammer, Kenneth Grogan, Feng Tian et al.
    Pages 183-202

  11. Land Surface Phenology in a West African Savanna: Impact of Land Use, Land Cover and Fire

    • Ursula Gessner, Kim Knauer, Claudia Kuenzer, Stefan Dech
    Pages 203-223

  12. Assessing Rainfall-EVI Relationships in the Okavango Catchment Employing MODIS Time Series Data and Distributed Lag Models

    • Thomas Udelhoven, Marion Stellmes, Achim Röder
    Pages 225-245

  13. Land Degradation in South Africa – A Degradation Index Derived from 10 Years of Net Primary Production Data

    • Markus Niklaus, Christina Eisfelder, Ursula Gessner, Stefan Dech
    Pages 247-267

  14. Investigating Fourteen Years of Net Primary Productivity Based on Remote Sensing Data for China

    • Christina Eisfelder, Claudia Kuenzer
    Pages 269-288

  15. The Utility of Landsat Data for Global Long Term Terrestrial Monitoring

    • David P. Roy, Valeriy Kovalskyy, Hankui Zhang, Lin Yan, Indrani Kommareddy
    Pages 289-305

  16. Forest Cover Dynamics During Massive Ownership Changes – Annual Disturbance Mapping Using Annual Landsat Time-Series

    • Patrick Griffiths, Patrick Hostert
    Pages 307-322

  17. Radar Time Series for Land Cover and Forest Mapping

    • Christiane Schmullius, Christian Thiel, Carsten Pathe, Maurizio Santoro
    Pages 323-356

  18. Investigating Radar Time Series for Hydrological Characterisation in the Lower Mekong Basin

    • Daniel Sabel, Vahid Naeimi, Felix Greifeneder, Wolfgang Wagner
    Pages 357-381

  19. Land Surface Phenology Monitoring with SeaWinds Scatterometer Time Series in Eastern Asia

    • Linlin Lu, Huadong Guo, Cuizhen Wang
    Pages 383-400

  20. Monitoring Recent Urban Expansion and Urban Subsidence of Beijing Using ENVISAT/ASAR Time Series Datasets

    • Xinwu Li, Huadong Guo, Huaining Yang, Zhongchang Sun, Lu Zhang, Shiyong Yan et al.
    Pages 401-426
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About this book

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.  

Editors and Affiliations

  • German Remote Sensing Data Center, DFD, German Aerospace Center, DLR, Wessling, Germany

    Claudia Kuenzer, Stefan Dech

  • Department of Geodesy and Geoinformation, Vienna University of Technology, Vienna, Austria

    Wolfgang Wagner

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