Terrestrial remote sensing toolkit

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BRG The University of Queensland
Fundamentals

- Main page
- Pre-processing
- Field data collection
- Mapping approaches
- Change and trends
  - About
  - Image requirements
  - Mapping change
  - Trend detection
  - Example time series
    - Landsat long-term
    - Landsat short-term
    - MODIS time series
  - Example change maps
- Delivery

# Temporal trajectories and trend from time-series image products

Time series of image products can be used to derive a time series representing every location or an average of a vegetation community. Such series can be analysed to determine long term trend and seasonal and inter-annual variation in vegetation structure and condition. A Mann-Kendall Significance Test can be used to analyse whether a change in trend was existed over the specified period with required level of confidence.

Figures showing (a) sixteen days composite MODIS NDVI time series 2001-2007 (b) NDVI time series, its trend and seasonal component representing a pixel in Eucalyptus woodland forest (c) change in NDVI trend over the time period in Barakula state forest area, Queensland derived from MODIS NDVI time series by a Mann-Kendall Significance Test (p=0.05).

## Reference

Santosh Prasad Bhandari, Stuart Phinn and Tony Gill (in preparation): Monitoring temporal trajectories and trend of foliage projective cover (FPC) in forest communities using Landsat image time series in Queensland