tracking forest cover change using landsat & rapid eye...
TRANSCRIPT
S2 Science 2014 workshop
1Eliakim Hamunyela, 1Jan Verbesselt, 1Michael Schultz, 2Axel Penndorf, 2Karsten Frotscher, 1Martin Herold, 1Johannes Reiche,
1Ben De Vries, 1Loic Dutrieux, 1Kim Calders
1Wageningen University, The Netherlands 2Blackbridge, Germany
Tracking forest cover change using Landsat & Rapid Eye towards S2
Improvements with S2: Rapid Eye as S2 substitute
S2 fused with RADAR time series
Better in-situ calibration and validation (TLS)
Forest change tracking and Sentinel-2
GPS: Galileo, and interactions for societal benefit, engagements and decisions
Quang Nam province/Central Vietnam highlands
Credit Jose Gonzalez and Michael Schultz (WU)
Forest change detection
Change Magnitude
high
low2005-6 2006-7 2007-8 2008-9 2009-10 2010-11 2011-12
SPOT5: Feb 2011
(band2)
Monitoring Period:
breakpoint
(mid-2009)
Ethiopia, Kafa UNESCO Biosphere reserve
Credit: Ben DeVries (WU)
De Vries et al. (2014 in review). Robust
monitoring of small-scale forest
disturbances in the Tropics using landsat
time series. RSE.
Forest change tracking in the tropics?!
Credit: Johannes Reiche
Lololo Fiji pine concession, Fiji islands
Quarterly harvest data
Overall A., Omission E. & Commission E.
Mean detection time-lag [month]
Landsat and Sentinel-2
Deforested between 2011 and 2012
Last image in 2008
L5 = LANDSAT 5, RE = RapidEye, L7 = LANDSAT 7
North-eastern part of Para state, Brazil
Landsat and Sentinel-2
History period Monitoring
period
Bre
ak
poin
t
4 Scenario’s: • Landsat 5 and RapidEye data (L5 + RE 30m) • Landsat 7 data only
(L7 only 30m) • Landsat 7 and RapidEye data (L7 + RE 30m) • Landsat 7 and RapidEye data (L7+ RE 10m)
Digitised changed areas from RapidEye data (5 m resolution)
Landsat and Sentinel-2
L5 + RE 30m L7 Only 30m
L7 + RE 30m L7 + RE 10m
Landsat and Sentinel-2
L5 + RE 30m L7 30m L7 + RE 30m L7 + RE 10m
90 107
146 146
0
30
60
90
120
150
L5 +RE 30m L7 only 30m L7 + RE 30m L7 + RE 10m
# o
f im
age
s av
aila
ble
Number of available images Change detection error
0
5
10
15
20
25
L5 + RE 30m L7 only 30m L7 + RE 30m L7 + RE 10m
Are
a (h
a)
Omission error Commision error
Landsat NDVI and PALSAR pixel time series for a deforestation event
S2 fused with S1
Combining RADAR & optical data (e.g. Landsat 7/8 +Sentinel 1 + Sentinel 2)
Lan
dsat
ND
VI
Credit: Johannes Reiche, Wageningen University
PA
LS
AR
HV
HH
(m
ult
i-te
mp
ora
l fi
ltere
d)
Calibration and validation of change
Terrestrial and airborne LiDAR data
VegNET sensor
https://www.youtube.com/watch?v=UNX94wh9KgQ
www.lidar.wur.nl, Credit: Kim Calders
Thanks!
Open-source BFAST toolkit available via:
● http://bfast.r-forge.r-project.org/
BFASTspatial (Loïc Dutrieux, Ben De Vries):
● http://dutri001.github.io/bfastSpatial/
www.lidar.wur.nl, Kim Calders
Special thanks to:
-Fiji: EU FP7 Recover project and Forest Department of Fiji
-Vietnam: BMBF LUCCI project
-Ethiopia: BMBF IKI project by Nature and Biodiveristy Union (NABU)
-EU Marie Curie Grant