1. Objectives
Using a time series of data from radar sensors to detect and measure forest changes
Combining different types of data, including:
Multi polarisations – HH+HV or VV+VH
Multi frequencies – C-band and L-band
ScanSAR and Wide Swath (wide swath but coarser resolution and single polarisation)

2. Monitoring Plantation Dynamics
SAR pre-processing
Envisat ASAR APG (VV & VH) & Wide Swath (VV): Calibration, Geocoding, Registration & Map-referencing, Multi-Channel Filtering
ALOS 50m Mosaics: Calibration
Comparing C- and L-band
Time Series
Visual interpretation of plantation dynamics

3. Data from study area Land cover maps derived from WWF 2007 dataset
Green: Natural Forest
Red: Acacia
Blue: Oil Palm
Envisat ASAR APG mode (Alternative Polarization Geocoded): 9 images from 2010/11/ /10/19
PALSAR FBD mosaics 2007/8/9
Envisat Wide Swath (VV):

4. Comparing C- and L-band
Envisat APG, Nov. 2010
ALOS 50m Mosaics, 2009
2009
A: for L, penetrate the canopy and get more information, more linear features as plantation trees lie in rows.
B: for L, backscatter values are weaker than other forest, but for C, it’s not clear maybe saturated
L-band present more features. C-band is easy for easily classifying in this case.

5. Histograms of Backscatter values
Blue: oil palm
Red: Acacia
Black: forest VV VH
VV/VH
ASAR APG
PALSAR 50 m
mosaics HH HV
HH/HV

6. Time series of ASAR APG images
Nov. 2010
WWF land cover maps
Explain RGB, oil palm, acacia (pulped for producing paper, harvested every 4-6years), natural forest (few deforestation in this period)
Circled shows regrowth

7. Time series of ASAR APG images
Oct. 2011
WWF land cover maps