01 A01 YL Building IndoneseiaFSReportingMeeting1

7/28/2019 01 A01 YL Building IndoneseiaFSReportingMeeting1

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YL Building Co., Ltd.Mangrove REDD+Reduction of CO2 Emission andEnhancement of Carbon Fixation

YL Building Co., Ltd.Feasibility Study for JCM

YL Building Co., Ltd.

YL Invest Co., Ltd. Kokusai Kogyo Co., Ltd.

JACO CDM Co., Ltd. JIFPRO

Feb. 21-22.2013

Partners

Dinas Kehutanan Kab. OKI PT. Yamamoto Asri,


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YL Building Co., Ltd.L Building Co., Ltd.

Mangrove REDD+: Reduction of CO2 Emission and Enhancement of CO2 Sequestration

Analyze the feasibility of GHG emission reductions through REDD+ project,

combined with silvi-fishery technique

1. Analyze project feasibility and financial scheme

2. Field research of current vegetation and deforestation & degradation(incl. satellite image analysis)

3. MRV/Methodologies

4. Gather info to develop the project at sub-national level

Project area66,500 ha

16.4 million tCO2/

30 years

Mangrovereforestation

Time (yr)

Amount

of

sequestered

CO2

0

Project starts.

e.g.) 30 yrs.

REDD

Reduction ofCO2 emission

from deforestation

Enhancement ofCO2 sequestrationby reforestation

REDD+

Credit image

1-1) Project 2011/2012 OverviewProject contentOverview

Study details

Reduction quantity


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YL Building Co., Ltd.L Building Co., Ltd.1-2) Project area

OKI provinceForest preservation area(Hutan Lingdung,

101,500 ha)

Project area 66,500ha

Sungai Sugihan(22458.31S1053342.36E

Sungai Lumpur(325'11.00"S

10553'6.20"E)


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YL Building Co., Ltd.L Building Co., Ltd.

How can we improve accuracy of the biomass estimation by combination ofremote sensing and ground survey?

RapidEye + LiDAR + Sample plotting

Last year : the PALSAR data was used for biomass estimation

Mangrove forests in our project area can exceed upper limit of PALSAR!(Limit:250t/ha)

We have to challenge another approach to ensure the accuracy of estimation

1. Choose pilot project site (1,000ha)

2. Stratify by vegetation types using RapidEye image3. Biomass estimation by sample plot survey

4. Correlation analysis by LiDAR data and result of biomass estimation

5. Consider the possibility to apply to whole project site

1-3) Project 2012/2013 OverviewChallenge in this year

Lesson learned from project 2011/2012esson learned from project 2011/2012

Steps


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YL Building Co., Ltd.L Building Co., Ltd.1-4) Pilot Project Site

Sungai Batang Area 1,000ha


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1. Accurate, Precise2. Transparent

3. Participatory

4. Applicability

2-1) Abstract of our methodologyKey Concept

1. Project is (will be) implemented in Mangrove forest area.

2. Project does not cause severe GHG emission by soil disturbance.

3. Project may include REDD+ acticities (avoiding deforestation, avoidingdegradation, sustainable forest management, carbon enhancement,

reforestation, replanting etc)4. Project must pay attention to social and ecological sageguards.

Eligibility Criteria (to be decided)


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YL Building Co., Ltd.2-2) Quantification of the Reduced Emissions from DD+

Step 1. Delineation of the project boundary (Landsat & RapidEye)

a. Estimation of carbon stock by ground survey (plot sampling)

Step 3. Stratification by Remote Sensing (RapidEye)

Step 4. Determination of the number of sample plots in each strata

Step 5. Tree measurement in the sampe plots (species & DBH)

Step 6. Calculation of tree biomass (allometric equation, WD, BEF, R)

Step 7. Calculation of the carbon stock within the project boundary and theuncertainty (confidence level 90%) based on data of the sampling plots

Step 2. Preliminary Ground Survey for step 3 & 4 below


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Stratification of the project boundary and sampling plots


RapidEye classification result and sampling plots designing


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Approaching to plotsUsing High-spec GPS

Save Geo-location data of plotAccuracy is0.1m~1m

Set circle plot14m radius, 20m radius (if there are trees which DBH are more than 50cm)

Scale DBH


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Results (by survey in December)Above Ground Biomass

n Ave SD SE n-1 TVAL RME U ncertainty

71 149.19 104.05 12.349 70 1.6669 20.584 13.797 2-6

253.7

1 -12 2 -9 2 -10 2 -11

227.5 107.8

1-15 1-16 2-13 2-14 2-15 2-16

179.6

4-2 4-3 4-4 5-1 5-2 5-3 5-4

199.2

4-5 4-6 4-7 4-8 5-5 5-6 5-7 5-8

459.5 327.4

3 -12 4 -9 4-10 4 -11 4 -12 5 -9 5 -10 5 -11 5 -12 6-9

194.7 241.9

3-15 3-16 4-13 4-14 4-15 4-16 5-13 5-14 5-15 5-16 6-13 6-14

300.1 175.3 201.48-1 8-2 8-3 8-4 9-1 9-2 9-3 9-4 10-1 10-2 10-3 10-4 11-1 11-2

159.4 186.0 93.3

7-8 8-5 8-6 8-7 8-8 9-5 9-6 9-7 9-8 10-5 10-6 10-7 10-8 11-5 11-6 11-7

163.1 188.4 75.7 139.4

7-11 7-12 8-9 8-10 8-11 8-12 9-9 9-10 9-11 9-12 10-9 10-10 10-11 10-12 11-9 11-10 11-11 11-12 12-9

304.7 311.0 144.1 114.8 194.9

7-14 7-15 7-16 8-13 8-14 8-15 8-16 9-13 9-14 9-15 9-16 10-13 10-14 10-15 10-16 11-13 11-14 11-15 11-16 12-13 12-14

68.9 336.6 232.1 228.0 0.0 149.9

13-1 13-2 13-3 13-4 14-1 14-2 14-3 14-4 15-1 15-2 15-3 15-4 16-1 16-2 16-3 16-4 17-1 17-2 17-3 17-4 18-1 18-2

86.0 174.9 270.1 281.7 55.3 231.2

13-5 13-6 13-7 13-8 14-5 14-6 14-7 14-8 15-5 15-6 15-7 15-8 16-5 16-6 16-7 16-8 17-5 17-6 17-7 17-8 18-5

13.1 49.9 199.1 197.2 297.5 49.7

13-9 13-10 13-11 13-12 14-9 14-10 14-11 14-12 15-9 15-10 15-11 15-12 16-9 16-10 16-11 16-12 17-9 17-10 17-11 17-12

0.0 16.1 27.2 87.1 245.2 145.6

13-14 13-15 13-16 14-13 14-14 14-15 14-16 15-13 15-14 15-15 15-16 16-13 16-14 16-15 16-16 17-13 17-14 17-15

24.7 38.5 0.0 48.2 120.5

19-3 19-4 20-1 20-2 20-3 20-4 21-1 21-2 21-3 21-4 22-1 22-2 22-3 22-4 23-1 23-2

56.6 191.4 35.5 237.9 44.2

19-8 20-5 20-6 20-7 20-8 21-5 21-6 21-7 21-8 22-5 22-6 22-7 22-8 23-550.2 81.0 214.2 287.0

19-12 20-9 20-10 20-11 20-12 21-9 21-10 21-11 21-12 22-9 22-10 22-11 22-12

2.1 12.5 1.3 2.8 218.3

20-13 20-14 20-15 20-16 21-13 21-14 21-15 21-16 22-13 22-14 22-15

0.0 22.6 5.9 213.3

24-2 24-3 24-4 25-1 25-2 25-3 25-4 26-1 26-2

0.0 0.0 20.4

24-7 24-8 25-5 25-6 25-7 25-8 26-5

0.0 157.9

24-11 24-12 25-9 25-10 25-11 25-12

0.0 0.0

24-16 25-13 25-14

0.0

27-1

Max: 460t/haMin: 0t/ha

Ave: 150t/haUncertainty : 13.8%


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The same as step 1 6, ground survey (plot sampling)

b. Estimation of carbon stock by remote sensing (LiDAR)

Step 7. Estimation of spatial volume within the project boundarybyRemote Sensing (LiDAR)

Step 8. Development of allometric equation (group-of-species-specific)between spatial volume and tree biomass of the sample plots

Step 9. Calculation of tree biomass within the project boundary using

allometric equation (above) and the spatial volume within theproject boundary (LiDAR)

Step 7. Calculation of the carbon stock within the project boundary

Light Detection And Ranging (LiDAR)


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How to estimate carbon stock from LiDAR data

2-7) Quantification of the Reduced Emissions from DD+

LiDAR data were acquired on February 1, 2013.

b. Estimation of carbon stock by remote sensing (LiDAR)

LiDAR data acquisition area

Raw LiDAR point cloud data


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LiDAR (present)

b. Estimation of carbon stock by remote sensing:

- Scaling up to large area - time series consistency -

RapidEye(present)

Landsat (present)

Landsat (past)

How to scale up from LiDAR to RapidEye

Using RapidEye Using LiDAR

Time-series Landsat data

1989 2000 2004 2009


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YL Building Co., Ltd.L Building Co., Ltd.3 Ensuring Environmental IntegrityTo ensure the environmental integrity,1. Protect Mangrove Forest from deforestation

2. Plant local tree species, considering ecological conditions

3. Do not change hydrological condition in project area

4. Prevent forest fires by patrol

Concepts


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YL Building Co., Ltd.L Building Co., Ltd.4 Project Implementation Plan

Organize some work groups with community members.

5 Financial Plan YL Group will invest majority of the fund for the DA with financial assistant

by cooperative enterprises and Japanese government. It is expected to be a 30year project but possibly be extended over some years. Fund resources for REDD+ will be finalized consulting with both Japanese and

Indonesian government in 3years from the day DA is in operation.


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YL Building Co., Ltd.L Building Co., Ltd.6 Next Challenges1. Finish analysis of the result of LiDAR and plot sampling

2. Modify methodology3. Try to apply whole project area4. Start REDD+ Demonstration Activity

Terima kasih banyak!!

01 A01 YL Building IndoneseiaFSReportingMeeting1

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