series to support redd
play

series to support REDD+ Supervisor : Pro f. Kunihiko Yoshino - PowerPoint PPT Presentation

University of Tsukuba Graduate School of Life and Environmental Sciences Research topic Estimation of forest carbon stock in Thua Thien Hue Province, Viet Nam using MODIS EVI time series to support REDD+ Supervisor : Pro f. Kunihiko Yoshino


  1. University of Tsukuba Graduate School of Life and Environmental Sciences Research topic Estimation of forest carbon stock in Thua Thien Hue Province, Viet Nam using MODIS EVI time series to support REDD+ Supervisor : Pro f. Kunihiko Yoshino Presenter: Pham Thi Thanh ID: 201225028

  2. 1. Background REDD +? Climate change effects Economic growth Rapid growth population Global Environmental Degradation Urban development/LUC Deforestation & forest degradation Other causes Source IPCC 2007

  3. 1. Background What is REDD + ? REDD Conservation Reducing Emission from + = Sustainable Deforestation and Management of Forest Enhancement of Forest Forest degradation Carbon Stocks REDD+

  4. 1. Background REDD+ implementation Phase 1: Phase 2 Phase 3 2008 - 2012 from 2016 2012 - 2015 Key Implementation component of REDD+ Full scale REDD+ National REDD+ readiness policies and implementation measures - Complete legal frame work - Full MRV related to land, financing, National REDD+ technical … - Full scale - Basic MRV implementation strategy implementation and measures integrate to CC

  5. 1. Background MRV - Necessary for successful REDD+ machanism - Building RLs and RELs for CO2 mechanism - Mapping the potential for REDD+ Source: UN-REDD - Payment, reporting for verified performance (How many % of CO2 emission or , removal) - Payment bases on types of forest

  6. 1. Background Remote sensing is powerful tool for MRV Meet standards for REDD+ • Acquire, Monitor, Update forest information at large scales, • Estimate & assess vegetation biomass • Set a reference level/ Carbon credit mechanism • Promote effective REDD+

  7. 1. Background C1 = 6 coefficent of resistance C2 = 7.5 Why MODIS EVI? L = 1 (the canopy background adjustment) G = 2.5 (gain factor) • RED and BLUE band (visible range): 0,4 – 0,7 μ m • Near-infrared band: 0.7 – 1.3 μ m • From visible to near-infrared (NIR)range: the reflectance of healthy vegetation increases • In the range of NIR: plant leaf reflects 40-50% of the energy , 8 layers of leaf in canopy, permit to discriminated between species (Hue., et all 1997)

  8. 1. Background Previous studies • Have shown positive correlation between vegetation indices: NDVI, RDVI, MSR, RVI, MSAVI, OSAVI with biomass (Das and Singh 2012) • Several studies with application RS to make forest biomass carbon, make forest biodiversity • However, there was no report about forest volume with specific types of forest with specific species

  9. 2. Hypothesis and Objectives Hypothesis EVI has close correlation with carbon stock and its value is different in different forest Objectives ① To find the correlation between MODIS EVI 、 forest volume and precipitation ② To evaluate accuracy of assessment forest volume by using RS ③ To discuss availability of MODIS EVI to MRV

  10. 3. Study site - Hue 16 40 N, 107 68 E, 55 feet (17 meters) above sea level - Lowland rain forest - Natural forest (evergreen forest, deciduous forest)

  11. 3. Outline of study site Forest issue in Hue - Many strength points about forest + Forest cover 56,7% (natural forest 202.600 ha, plantation forest 92 000 ha) + Participate Payment Environmental Service (REDD+ (2016)) Remain many problems : - + New and complex issue + Forest inventory data is expensive, difficult to update forest information as REDD + require

  12. 4. Materials and Methods - MODIS EVI 16 days satellite data in 2011 (from internet) ftp://e4ftl01u.ecs.nasa.gov/MOLT/MOD13Q1.005/ - Forest volume data (field inventory) (from Department of Forestry, Agriculture Planning and Projection, Hue) - Precipitation in 2011 (from: The Vietnam Institute of Meteorology, Hydrology and Environment )

  13. 4. Materials and Methods Data processing flow chart Collect Field survey data MODIS 16 days (2011) Analyze EVI signal MODIS EVI 16 days (2011) Find correlation between EVI & Forest Volume & precipitation in different type Layer stacking MODIS of forest EVI (2011) Wavelet transform to Carbon map reduce noise Reconstruct Assess Accuracy

  14. 5. Results Trâm : Syzygyum cumini (evergreen) Trâm : Syzygyum cumini (evergreen) Vạng : Endospermun chineses (deciduous) Trám : Canarium tramdeum ( evergreen ) Ngát : Gironniera subaequalis (evergreen) Dẻ : Castanea mollissima ( evergreen ) Máu chó : Knema corticosa () Sim lan: Rhodomyrtus tomentosa Kiền : Hopea pierrei (evergreen) (evergreen) 95 y = 310.76x - 200.34 R² = 0.675 Forest volume (m3/ha) 75 85 y = 199.77x - 62.315 70 R² = 0.8174 75 65 Forest volume (m3/ha) 60 65 55 50 EVI 55 45 Linear (EVI) EVI 40 45 35 Linear (EVI) 30 35 25 0.5 0.7 0.9 0.7 0.8 0.9 AverageEVI Average EVI

  15. Average EVI 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 Kiền : Hopea pierrei (evergreen) Máu chó : Knema corticosa () Ngát : Gironniera subaequalis (evergreen) Vạng : Endospermun chineses (deciduous) Trâm : Syzygyum cumini (evergreen) 0 1 01/01/2011 5. Results 16/01/2011 02/02/2011 EVI and Precipitation 18/02/2011 05/03/2011 21/03/2011 06/04/2011 22/04/2011 08/05/2011 24/05/2011 09/06/2011 25/06/2011 11/07/2011 27/07/2011 12/08/2011 28/08/2011 13/09/2011 29/09/2011 15/10/2011 31/10/2011 16/11/2011 02/12/2011 18/12/2011 Date 0 5 10 15 20 25 Average Precipitation (mm) Average EVI 0.65 0.75 0.85 0.95 0.6 0.7 0.8 0.9 1 (evergreen) Sim lan: Rhodomyrtus tomentosa Dẻ : Castanea mollissima ( evergreen ) Trám : Canarium tramdeum ( evergreen ) Trâm : Syzygyum cumini (evergreen) 01/01/2011 16/01/2011 02/02/2011 EVI and Precipitation 18/02/2011 05/03/2011 21/03/2011 06/04/2011 22/04/2011 08/05/2011 24/05/2011 09/06/2011 25/06/2011 11/07/2011 27/07/2011 12/08/2011 28/08/2011 13/09/2011 29/09/2011 15/10/2011 31/10/2011 16/11/2011 02/12/2011 18/12/2011 Date 0 5 10 15 20 25 Average precipitation (mm)

  16. 5. Results Giổi : Michelia balansae (evergreen) Giổi : Michelia balansae (Evergreen broad leaf) Ươi : Beumee ex (Deciduous) Đào : Persica vulgaris (Deciduous) y = 598.77x - 305.48 110 y = -621.88x + 476 R² = 0.704 180 R² = 0.5466 100 160 Forest volume (m3/ha) Forest volume (m3/ha) 90 140 80 120 100 70 EVI EVI 80 60 Linear (EVI) 60 Linear (EVI) 50 40 40 0.4 0.6 0.8 0.55 0.6 0.65 0.7 Average EVI Average EVI

  17. Average EVI 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 0 1 01/01/2011 Ươi : Beumee ex (Deciduous) Giổi : Michelia balansae (evergreen) 5. Results 16/01/2011 02/02/2011 18/02/2011 05/03/2011 21/03/2011 EVI and Precipitation 06/04/2011 22/04/2011 08/05/2011 24/05/2011 09/06/2011 25/06/2011 11/07/2011 27/07/2011 12/08/2011 28/08/2011 13/09/2011 29/09/2011 15/10/2011 31/10/2011 16/11/2011 02/12/2011 18/12/2011 0 5 10 15 20 25 Date Average Precipitation (mm) Average EVI Đào : Persica vulgaris (Deciduous) Giổi : Michelia balansae (Evergreen broad leaf) 0.2 0.4 0.6 0.8 1.2 0 1 01/01/2011 16/01/2011 02/02/2011 18/02/2011 EVI and Precipitation 05/03/2011 21/03/2011 06/04/2011 22/04/2011 08/05/2011 24/05/2011 09/06/2011 25/06/2011 11/07/2011 27/07/2011 12/08/2011 28/08/2011 13/09/2011 29/09/2011 15/10/2011 31/10/2011 16/11/2011 02/12/2011 18/12/2011 Date 0 5 10 15 20 25 Average Precipitation (mm)

  18. Evergreen Forest 5. Results Dẻ : Castanea mollissima Mít nài : Artocarpus rigidus Dẻ : Castanea mollissima Chân Chim : Schefflera octophylla Chân Chim : Schefflera octophylla y = 1374.7x - 953.51 y = 972.44x - 678.13 R² = 0.6149 R² = 0.6039 140 80 70 120 Forest volume (m3/ha) 60 Forest volume (m3/ha) 100 50 80 40 60 30 EVI 40 EVI 20 Linear (EVI) 20 Linear (EVI) 10 0 0 0.7 0.75 0.8 0.85 EVI 0.7 0.72 0.74 0.76 Average EVI

  19. Average EVI 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 0 1 01/01/2011 5. Results 16/01/2011 02/02/2011 Chân Chim : Schefflera octophylla Dẻ : Castanea mollissima 18/02/2011 05/03/2011 EVI and Precipitation 21/03/2011 06/04/2011 22/04/2011 08/05/2011 24/05/2011 09/06/2011 25/06/2011 11/07/2011 27/07/2011 12/08/2011 28/08/2011 13/09/2011 29/09/2011 15/10/2011 31/10/2011 16/11/2011 02/12/2011 18/12/2011 Date 0 5 10 15 20 25 Chân Chim : Schefflera octophylla Mít nài : Artocarpus rigidus Dẻ : Castanea mollissima Average Precipitation Average EVI 0.55 0.65 0.75 0.85 0.6 0.7 0.8 01/01/2011 16/01/2011 02/02/2011 18/02/2011 05/03/2011 EVI and Precipitation 21/03/2011 06/04/2011 22/04/2011 08/05/2011 24/05/2011 09/06/2011 25/06/2011 11/07/2011 27/07/2011 12/08/2011 28/08/2011 13/09/2011 29/09/2011 15/10/2011 31/10/2011 16/11/2011 02/12/2011 18/12/2011 Date 0 5 10 15 20 25 Average Precipitation (mm)

  20. 5. Summary of results Type of forest s R 2 Type of forest s R 2 Trâm: Syzygyum cumini Dẻ : Castanea mollissima 5 0.7219 Vạng: Endospermun chineses Chân Chim : Schefflera octophylla 0.81 1 Ngát: Gironniera subaequalis Dẻ: Castanea mollissima 0.6149 6 Máu chó: Knema corticosa Mít nài: Artocarpus rigidus Kiền: Hopea pierrei Chân Chim: Schefflera octophylla Trâm: Syzygyum cumini Giổi: Michelia balansae - 0.5466 7 Trám: Canarium tramdeum Đào: Persica vulgaris 0.675 2 Dẻ: Castanea mollissima Giổi: Michelia balansae 8 0.704 Ươi: Beumee ex Sim lan: Rhodomyrtus tomentosa Dẻ : Castanea mollissima Dẻ : Castanea mollissima 9 3 - 0.0224 - 0.0231 Chuồn : Máu Chó : Chò : Schima wallichii 4 - 0.4377 Kiền : Hopea pierrei

Recommend


More recommend