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