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Assessment of Large Scale Land Cover
Change Classification and Drivers of
Deforestation in Indonesia
Contributors: Arief Wijaya, Ruandha Agung Sugardiman, Budiharto,
Anna Tosiani, Lou Verchot, Daniel Murdiyarso, Martin Herold, Erika Romijn
36th International Symposium on Remote Sensing of Environment
Berlin, 10 – 15 May 2015
CIFOR Global Comparative Study on REDD+
 GCS Module 3: REDD+ MRV and Carbon Emissions
measurement
– Assessment of major deforestation drivers
– Setting national reference emission levels (RELs)
– Monitoring, reporting, verification (MRV) for REDD+
– Six case study countries: Brazil, Peru, Indonesia,
Vietnam, Tanzania and Cameroon
 Further information: www.cifor.org/gcs/
Outline of Presentation
 Common problems of national forest mapping in Indonesia
 Satellite data classification and approaches
 Comparison of available maps of forest loss/deforestation
 Needs for systematic accuracy assessment
 Drivers of deforestation analysis
One Landsat scene
cover 185 x 185 km
Indonesia is
covered by
218 scenes
Source: Ministry of Forestry of Indonesia
Highly rapid vegetation dynamics in Indonesia
Source: Ministry of Forestry of Indonesia
Satellite data availability and approaches
Source: Ministry of Forestry of Indonesia
Available datasets
 Land cover map of MOF (1990 - 2013)
 WRI Global Forest Watch data/GFW (2000 – 2013)
 Annual primary forest loss map of University of Maryland – from
Margono study (annually, from 2000 - 2012)
 Indonesian National Carbon Accounting System (INCAS), LCCA
project by Indonesian National Aerospace Agency (LAPAN)
(annually, from 2000 – 2012)
Comparison of deforestation/forest loss maps
0
500
1000
1500
2000
2500
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
Annualtreecoverloss/deforestation
(000hectare)
GFW (Outside and inside primary forest)
GFW (Inside primary forest)
MOF - CIFOR (Natural forest)
Margono, et.al (Primary forest)
What causes
discrepancies in 2013?
Agreement and
disagreement of
forest loss /
deforestation
during 2000 – 2010
- MOF (orange
polygon)
- Margono (black)
- INCAS (other
colors)
Systematic accuracy assessment exercise
- Fine resolution Google Earth footprints imagery
- Mosaic cloud free Landsat data 2000, 2005, 2010
- Stratified random sampling points of verified forest loss 2000 – 2010
- To verify Margono, INCAS, MOF forest loss data
- Observe maps differences, Why? When?
- Improve forest loss estimate 2000 - 2012
Deforestation estimate across main Islands
Contributions of CO2 Emissions by Islands
Kalimantan and
Sumatera contribute
to ~80% of CO2
deforestation
emissions 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
Land Use Types Following Forest Conversion
1990-2000
Forest definitions matter!
Distribution of deforestation drivers in Indonesia from 2000 to 2009 based on analysis
of follow-up land cover/land use type
Source: Romijn, et al (2013)
Supporting Donors :

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Assessment of Large Scale Land Cover Change Classification and Drivers of Deforestation in Indonesia

  • 1. Assessment of Large Scale Land Cover Change Classification and Drivers of Deforestation in Indonesia Contributors: Arief Wijaya, Ruandha Agung Sugardiman, Budiharto, Anna Tosiani, Lou Verchot, Daniel Murdiyarso, Martin Herold, Erika Romijn 36th International Symposium on Remote Sensing of Environment Berlin, 10 – 15 May 2015
  • 2. CIFOR Global Comparative Study on REDD+  GCS Module 3: REDD+ MRV and Carbon Emissions measurement – Assessment of major deforestation drivers – Setting national reference emission levels (RELs) – Monitoring, reporting, verification (MRV) for REDD+ – Six case study countries: Brazil, Peru, Indonesia, Vietnam, Tanzania and Cameroon  Further information: www.cifor.org/gcs/
  • 3. Outline of Presentation  Common problems of national forest mapping in Indonesia  Satellite data classification and approaches  Comparison of available maps of forest loss/deforestation  Needs for systematic accuracy assessment  Drivers of deforestation analysis
  • 4. One Landsat scene cover 185 x 185 km Indonesia is covered by 218 scenes Source: Ministry of Forestry of Indonesia
  • 5. Highly rapid vegetation dynamics in Indonesia Source: Ministry of Forestry of Indonesia
  • 6. Satellite data availability and approaches Source: Ministry of Forestry of Indonesia
  • 7. Available datasets  Land cover map of MOF (1990 - 2013)  WRI Global Forest Watch data/GFW (2000 – 2013)  Annual primary forest loss map of University of Maryland – from Margono study (annually, from 2000 - 2012)  Indonesian National Carbon Accounting System (INCAS), LCCA project by Indonesian National Aerospace Agency (LAPAN) (annually, from 2000 – 2012)
  • 8. Comparison of deforestation/forest loss maps 0 500 1000 1500 2000 2500 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Annualtreecoverloss/deforestation (000hectare) GFW (Outside and inside primary forest) GFW (Inside primary forest) MOF - CIFOR (Natural forest) Margono, et.al (Primary forest) What causes discrepancies in 2013?
  • 9. Agreement and disagreement of forest loss / deforestation during 2000 – 2010 - MOF (orange polygon) - Margono (black) - INCAS (other colors)
  • 10. Systematic accuracy assessment exercise - Fine resolution Google Earth footprints imagery - Mosaic cloud free Landsat data 2000, 2005, 2010 - Stratified random sampling points of verified forest loss 2000 – 2010 - To verify Margono, INCAS, MOF forest loss data - Observe maps differences, Why? When? - Improve forest loss estimate 2000 - 2012
  • 12. Contributions of CO2 Emissions by Islands Kalimantan and Sumatera contribute to ~80% of CO2 deforestation emissions between 1990 – 2012
  • 13. 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
  • 14. Land Use Types Following Forest Conversion 1990-2000
  • 15. Forest definitions matter! Distribution of deforestation drivers in Indonesia from 2000 to 2009 based on analysis of follow-up land cover/land use type Source: Romijn, et al (2013)