Transcript Slide 1

SPC/GIZ Regional REDD+ Project:
Forest Carbon Inventory In Vanuatu
Proposed Forest Mapping In Vanuatu
The Pacific GIS/RS User Conference
Suva, Fiji Island, 27-30 November 2012
Sharon R. Boe, SPC/GIZ-SOPAC ([email protected])
ABBREVIATIONS
• SPC – Secretariat of the Pacific Community
• GIZ – Deutsche Gesellschaft fur
Internationale Zusammenarbeit
• REDD – Reducing Emissions from
Deforestation and forest Degradation
• FCPF – Forest Carbon Partnership Facility
• MRV – Measuring, Reporting and Verifying
• REL – Reference Emission Level
• GHG – Green House Gas
• VANRIS – Vanuatu Resource Information
System
PROJECT OVERVIEW
 SPC/GIZ Climate Protection through
Forest Conservation in Pacific Island
Countries Project
>> Aim: mitigate greenhouse gas emissions from
forestry and receive compensation
payments.
 Vanuatu: REDD readiness process mainly
supported by:
>> SPC/GIZ – development of system for MRV
carbon level and REL
>> FCPF of World Bank – policy process
 Ongoing Project until 2015
PILOT ISLANDS
 The islands of
Vanuatu are located
approx. 2,200km east
of Australia and
comprises of 82
islands.
 The program is
focusing on 4 pilot
islands:
1.
2.
3.
4.
Santo
Malekula
Efate
Erromango
MAPPING ACTIVITIES
1)
2)
3)
4)
Delineation of coconut stands on Santo 2010
Deforestation processing Santo 2007-2010
Cloud correction Santo 1990-2000
Deforestation processing Santo 2000-20072010
5) Accuracy assessment Santo 2010
Forest stratification (GHG Inventory, 2011)
AVAILABLE IMAGERY
Sensor
Type
Spatial
Resolution
Spatial
Coverage
NEXTMap Orthorectified
TopoSAR ORI radar image
1.25m
Wall-to-Wall
ALOS Palsar
L-Band radar
dual-pol FBD
25m
Wall-to-Wall
World View 2
Multispectral
optical
2m
11 Scenes
Temporal
Coverage
Corresponding Mapping Product
and Remarks
Vanuatu Department of Lands and
2003
Survey: Topographic Map of
Vanuatu
2007, 2008, Acquired by GIZ under the ALOS
2009, 2010
Science Program Phase 3
2012
Acquired by GIZ from Digital Globe
WORLD VIEW 2 DATA
 8 band bundle data (Santo)
- Multispectral: 2m
- Panchromatic: 0.5m
 Projection: UTM/WGS84, zone 58S
 Pre-processed (atmospheric correction,
pan-sharpened (NC & FC), image
enhancement, backdrop)
 Digital Terrain Model (DTM): 25m
ALOS PALSAR DATA
 ALOS (Advanced Land Observation Satellite)
PALSAR (The Phased Array type L-band
Synthetic Aperture Radar)
 25m Mosaic dual polarization
 Data was ordered at Level 1.5 format
 Dual temporal change detection and forest cover
 Adv: Cloud-free, Day & Night and All weather land
observation
 Training: 16-19 October 2012
 SAR Image Preprocessing, Enhancement, Classification
(Erdas 9.1)
 Support from Jaxa
ALOS PALSAR RGB COMPOSITE
+
HH Polarization
• Very low backscatter of water
• High backscatter in Urban Areas
• High backscatter over vegetation and
non-vegetation
+
HV Polarization
• High backscatter over vegetation areas
• Low backscatter over non-vegetation
areas
=
HH/HV Ratio
• Forest/Dense Vegetation (bright)
• Non-Vegetation Areas (dark)
RGB
• R: HH
• G: HV
• B:HH/HV
CHALLENGES WITH CURRENT RADAR
DATA
Layover Effects
Visible on most of Western Part
of Santo: high altitude areas
PROHIBITS IMAGE ANALYSIS
Spatial Modeler, Erdas 9.1
 HH/HV Ratio Calculations
 Classification
 Conversion of amplitude data (DN) to radar
cross-section (dB)
 Above Ground Biomas (AGB) Calculations
Semi-Automatic Forest Classification
 Move into the use of semi-automatic
classification for forest mapping:
- Vanuatu Study (2007) conducted by Martin
Herold and his team
• Supervised Classification
- Maximum Likelihood Algorithm
• Challenges
- Trial Image Segmentation
• E.g. Imagine Objective ext. for Erdas
DELIVERABLES
The project envisions the following
results for Vanuatu:
• Forest cover based on an approved
national forest definition
• Carbon density map for 5 generic forest
strata (medium height forest
[open/closed], low forest
[open/closed], mangroves)
• Validated forest cover map using very
high resolution imageries
THANK YOU