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Characterizing Forest Degradation and Carbon Biomass Assessment in Tropical Peatlands using Multi-Temporal and Multi-
Polarizations SAR Data
Contributors: Arief Wijaya, Ari Susanti, Oka Karyanto, Wahyu Wardhana, Lou Verchot and Veraldo Liesenberg
36th International Symposium on Remote Sensing of EnvironmentBerlin, 10 – 15 May 2015
Project Background
This work is part larger CIFOR projects
Global Comparative Study on REDD+ (GCS REDD+) – work in 6 countries
CIFOR is an international research organization working based on three pillars – research, capacity building and media outreach
This study is CIFOR research portfolio to address climate change
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Outline of Presentation
Importance of peatlands for Indonesia
CO2 emissions from peatlands
Test site descriptions
Data and methods
Results
– Peatlands mapping using ALOS PALSAR data
– Above ground biomass assessment
Importance of Peatlands Ecosystem
Indonesia covers >80% (~20 Mha in 1990 out of 24 Mha) of tropical peatlands in SE Asia
1.1 Mha of intact peat swamp forests and 6.8 Mha of degraded peatlands forests were lost between 1990 – 2012
CO2 Emissions from Deforestation, Peat Drainage and Peat Fires in Indonesia
Peatlands contribute to 30 – 50% of total carbon emissions from forestry sector between 1990 and 2012
Recent large-scale clearance of peatland forest inside a PT. Riau Andalan Pulp & Paper (PT RAPP) pulpwood concession on Pulau Pedang. © Ulet Ifansasti / Greenpeace.
Test Sites
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Available Satellite Data
Quad polarizations ALOS Palsar (May 2010) – forest degradation discrimination
Quad polarizations ALOS Palsar (April 2007, May 2007, April 2009, April 2010) - biomass modeling
Landsat 5 image (February 2010)
Peatland maps from Wetlands International
Land use/land cover map from Ministry of Forestry (2000 – 2012)
Field Data Collection
Land use Volume (m3/ha)
AGB (Mg/ha)
Carbon stocks (MgC/ha)
Tree height
(m)Basal area
(m2) LAI
Peat swamp forest
592.35 228.25 114.12 16.92 33.19 2.96
Pioneer species (Macaranga sp.)
32.63 7.47 3.74 11.22 9.71 3.09
Mangrove forest 182.16 105.65 52.82 9.53 11.79 2.38Plantation forest 196.33 130.95 65.48 12.57 13.22 1.32Rubber plantation
125.73 113.44 56.72 14.95 51.02 2.06
- In total, 83 sampling plots were collected during dry season in 2010- Circular nested sampling plots within 60 x 60 m2- Size of each sub plot 0.04 ha
Peatlands Mapping Results
SAR Data Preprocessing Data extraction, image registration, corrections and noise filtering
Polarimetric features: entropy, anisotropy, alpha angle, RVOG ratio, span
Supervised classification: Multi-Layer Perceptron Neural Network (MLP-NN) method and Maximum Likelihood Classification (MLC)
Alpha Entropy Plane
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SAR Classification Results
Biomass Modeling Results
Above ground biomass modeling results
IDAcquisition
datePredictor(s) Biomass model coefficients R2 SEE F Sig.
7001 20/5/2007
HH, HV, VH, VV, Alpha, Entropy, Anisotropy
y = 157.38HH - 467.09HV + 405.08VH + 23.4VV - 41.6Alpha + 4913.7Entropy - 1096.4Anisotropy + 175.656
0.278202.21
70.441 0.851
2001 9/4/2009
HH, HV, VH, VV, Alpha, Entropy, Anisotropy
y = 171.07HH - 298.26HV + 264.46VH + 96.1VV + 50.89Alpha + 714.9Entropy + 2189.26Anisotropy - 825.3
0.416181.98
10.813 0.601
1001 12/4/2010
HH, HV, VH, VV, Alpha, Entropy, Anisotropy
y = 191.57HH - 30.7HV + 104.46VH + 31.69VV - 25.19Alpha + 1150.47Entropy + 2598.39Anisotropy + 3248.58
0.670 99.83 5.356 0.015
1001 12/4/2010 HH y = 238.164HH + 2987.913 0.744 91.014 40.733 0.000
Features selection is apparently important for biomass modeling
Seasonal Variability or Land Use Change?
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350
400
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Mon
thly
pre
cipi
tatio
n (m
m)
Month
mean = 263 mm
Source: Indonesian National Metereological Agency
ALOS Palsar acquisition (2007, 2009, 2010)
Field work (2010)
Supporting Donors :