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ReCover
for REDD and sustainable forest management
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An overview of the ReCover project, focusing on the Democratic Republic of Congo
04 October 2012, technical side event:
Satellite based Forest Monitoring for REDD+ and other related purposes – State of Play and Future Perspectives
Fabian Enßle,
Department of Remote Sensing and Landscape Information Systems - FeLIS [email protected]
ReCover for REDD and sustainable forest management
Outline
• ReCover project
• Methodology
• Data products
• Results
• Summary
ReCover for REDD and sustainable forest management
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ReCover - Science Based Remote Sensing Services to Support REDD and Sustainable Forest Management in the Tropical Region
Duration: Nov. 2010 – Nov. 2013 FP7 programme (no. 263075) 9 partners and 5 service areas
ReCover project - introduction
http://www.vtt.fi/sites/recover/?lang=en
ReCover for REDD and sustainable forest management
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Partners P1 - VTT Technical Research Centre of Finland – Coordinator, Finland
P2 - Albert-Ludwigs-Universität Freiburg – Dep. FeLis, Germany
P3 - Arbonaut, Finland
P4 - Colegio de Postgraduados ColPos, Mexico
P5 - El Colegio de de la Frontera Sur ECoSur, Mexico
P6 - GMV, Spain
P7 - Norut - Northern Research Institute Tromsø AS, Norway
P8 - Wageningen Universiteit (WU), The Netherlands
P9 - IDEAM (Instituto de Hidrologia, Meteorologia y Estudios
Ambientales):
Users – CONAFOR, Mexico – SEMANH, Mexico – CONABIO, Mexico – CONANP-RFSIPS, Mexico – OSFAC, DR Congo – Guyana Forestry Commission, Guyana – Department of Forestry in Fiji, Fiji – IDEAM/Ministry of Environment,
Colombia
Data coverage
ReCover for REDD and sustainable forest management
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MEXICO
DR CONGO
GUYANA
FIJI
COLOMBIA
ReCover service areas
ReCover for REDD and sustainable forest management
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Image mosaic maps: 1990, 2000, 2010 (optical)
Image mosaic maps: 2000, 2005, 2010 (SAR)
Forest/land cover map: 1990, 2000, 2010
Forest biomass map: 2010
Forest degradation map: 1990, 2000, 2010
Forest area change map 1990/2000, 2000/2010
DRC study site and products
ReCover for REDD and sustainable forest management
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White line: Area of interest
Blue line: AVNIR-2 images
Red line: KOMPSAT images
Data coverage
Landsat ETM+ coverage (2001)
ICESat spaceborne laser data (2003 – 2009)
ReCover for REDD and sustainable forest management
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ReCover - principal scientific approach
ReCover for REDD and sustainable forest management
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Landsat 7 TM mosaic 1986 Landsat 7 ETM+ mosaic 2000 AVNIR-2 mosaic 2010
Image mosaic products
ReCover for REDD and sustainable forest management
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Landsat 7 TM mosaic 1986 Landsat 7 ETM+ mosaic 2000 AVNIR-2 mosaic 2010
Forest / Non-Forest Map (optical): 2010-2000-1990
ReCover for REDD and sustainable forest management
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Image mosaic products (SAR) processed by
2000 ERS-2 SAR
(VV)
2005 Envisat ASAR WS
(VV)
2010 Envisat ASAR APS
(VV,VH,VV/VH)
2010 ALOS Palsar FBD (HH, HV, HH/HV)
ReCover for REDD and sustainable forest management
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Forest / Non-Forest Map (SAR): 2000-2005-2010
Envisat ASAR APS and ALOS Palsar FBD/FBS
2010
Envisat ASAR WS 2005 ERS2- SAR 2000
2000 2005 2010
ReCover for REDD and sustainable forest management
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LANDSAT classification
1986
ERS-2 SAR classification
2000
LANDSAT classification
2001
Envisat ASAR classification
2005
AVNIR classification
2010
PALSAR / ASAR
classification 2010
Overall accuracy
(%)
82.11 (without clouds)
75.63 91.22 85.19 85.19 88.11
К coefficient
0.689 (without clouds)
0.456 0.812 0.681 0.685 0.749
Accuracy Assessment Forest/non Forest maps conducted by
ReCover for REDD and sustainable forest management
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Biomass estimation
• ICESat/GLAS 2003 -2009
• Vegetation height
• Forest/Non-forest map (Landsat)
ICESat’s heights (pink & green ellipses = footprint) Airborne Laser Scanning (ALS) point cloud (blue) Digital terrain model by ALS data
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Summary
• No reference field data • Cloud coverage
• Single sensor based products
• Field data acquisition 2013 • Multi-sensor approach
• Limited data for biomass
• Texture based methods (HR, VHR data) • Extended products from ICESat (canopy closure, volume)
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Thank you for your attention
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• Biomass processing • ICESat/GLAS product GLA14
• Vegetation height
• Forest/Non-Forest map through Landsat data
• Large scale vegetation height interpolation
• Calculating AGB by allometric equation from Saatchi et al. 2011
0528.23542.0 HAGBAfrica ⋅=
Saatchi, S. S.; Harris, N. L.; Brown, S.; Lefsky, M.; Mitchard, E. T. A.; Salas, W. et al. (2011): Benchmark map of forest carbon stocks in tropical regions across three continents. In: Proceedings of the National Academy of Sciences 108 (24), S. 9899–9904.
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ICESat/GLAS data description
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