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Forest/Non-forest Mapping for Viet Nam using PALSAR-2 Time Series Images

This study aims to produce accurate forest/non-forest maps for Viet Nam from 2014 to 2018 using PALSAR-2 satellite images. The objective is to analyze forest cover change and facilitate forest monitoring and management in Viet Nam.

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Forest/Non-forest Mapping for Viet Nam using PALSAR-2 Time Series Images

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  1. Forest / Non-forest (FNF) mapping for Viet Nam using PALSAR-2 time seriesimages 2019/01/22 Truong Van Thinh – 201726070 Master’s Program in Environmental Sciences Supervisor: Prof. Kenlo Nishida Nasahara

  2. Theimportances offorest Climate change (GHG’semission) Biodiversity Forest Ecosystem Livelihood

  3. Forest mapping and itsissues Hydrological study Naturaldisasters study Climatemodeling Input Forestmap Satelliteimages Survey mapping Aircraft photos • Low cost, • Large areacoverage, • Less humanlabor intervention. • Hightcost, • Limited area, • Laboriouswork 3

  4. Satellitesensors and theiradvantage Opticalsatellite Landsat 8(NASA) Synthetic Aperture Radar(SAR) ALOS-2(JAXA) cloudcover Opticalimage Nocloud SARimage 4

  5. Forest / Non-Forestproducts JAXA (Japan Aerospace ExplorationAgency) JAXA Forest / Non-forestmaps 5 Global Forest cover (Hansen et al.2013)

  6. The differences in JAXAFNF 6 2015_JAXA 2016_JAXA 2017_JAXA

  7. Objectives • 1. To produce forest / non -forest maps for VietNam: • with highaccuracy • consecutive maps from 2014 to2018 • Forestmonitoring and management in VietNam • 2. To analyze forest cover change for Viet Nam during 2014 -2018

  8. Study area Located in SoutheastAsia Total area: 332,698km2 ~ 42 % of land areais covered byforest (GSO, 2017) ● ● ● Google terrain map ofVietnam

  9. Method Satellite images Output map Algorithm Inputdata Training data

  10. Method(cont.) SRTM MODIS Google Earth FieldGPS photos ScanSAR timeseries DATA Convert DNto Backscatter Slope NDVI Backscattervalue (HH, HV, HH/HV, HH-HV) Training Data Validation Data DATA PROCESSING Medianfilter SACLASS CLASSIFICATION Land covermaps OUTPUT MAPS Validation Forest /Non- forestmaps 10

  11. Satellite data 10

  12. Referencedata Visual interpretation on Googleearth 48,957 trainingpoint 21,452 validationpoints The distribution of trainingdata The distribution of validationdata 10

  13. Results andDiscussion Land covermap2014 Land covermap 2015 Land cover map2016 Land cover map2017 Land cover map2018 13

  14. Integration of land cover maps into FNFmaps Reclassification Land cover mapsclasses FNFclasses 14

  15. Results of Forest / Non-forestmaps FNFmap 2014 FNFmap 2015 FNF map2016 15 FNF map2017 FNF map2018

  16. Forest area calculation based on FNFmaps

  17. Overall accuracy (OA)assessment

  18. Compare with JAXAFNF N22E104_ScanSAR N22E104_JAXA

  19. Futurework Continuing to make training data for the central region and southern Viet Namby: + Visualinterpretation + Field trip to Viet Nam on March2019 Do FNF classification for the rest part of Viet Nam Analyzing forest change and compare with statistical data of Viet Nam and other FNF global maps 19

  20. THANK YOU FOR YOURLISTENING!

  21. Supplementary

  22. Forest gain and lost between 2015 and2018

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