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Torbern Tagesson

Forskare

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Assessment of vegetation trends in drylands from time series of earth observation data

Författare

  • Rasmus Fensholt
  • Stephanie Horion
  • Torbern Tagesson
  • Andrea Ehammer
  • Kenneth Grogan
  • Feng Tian
  • Silvia Huber
  • Jan Verbesselt
  • Stephen D. Prince
  • Compton J. Tucker
  • Kjeld Rasmussen
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Summary, in English

This chapter summarizes approaches to the detection of dryland vegetation change and methods for observing spatio-temporal trends from space. An overview of suitable long-term Earth Observation (EO) based datasets for assessment of global dryland vegetation trends is provided and a status map of contemporary greening and browning trends for global drylands is presented. The vegetation metrics suitable for per-pixel temporal trend analysis is discussed, including seasonal parameterisation and the appropriate choice of trend indicators. Recent methods designed to overcome assumptions of long-term linearity in time series analysis (Breaks For Additive Season and Trend(BFAST)) are discussed. Finally, the importance of the spatial scale when performing temporal trend analysis is introduced and a method for image downscaling (Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM)) is presented.

Publiceringsår

2015-01-01

Språk

Engelska

Sidor

159-182

Publikation/Tidskrift/Serie

Remote Sensing and Digital Image Processing

Volym

22

Dokumenttyp

Del av eller Kapitel i bok

Förlag

Springer

Ämne

  • Physical Geography

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 1567-3200
  • ISSN: 2215-1842