1 / 16

The Pacific GIS/RS User Conference Suva, Fiji Island, 27-30 November 2012

The Pacific GIS/RS User Conference Suva, Fiji Island, 27-30 November 2012 Sharon R. Boe , SPC/GIZ-SOPAC (sharon@sopac.org ). 2012. SPC/GIZ Regional REDD+ Project: Forest Carbon Inventory In Vanuatu. Proposed Forest Mapping In Vanuatu. ABBREVIATIONS.

paloma-fields
Download Presentation

The Pacific GIS/RS User Conference Suva, Fiji Island, 27-30 November 2012

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. The Pacific GIS/RS User Conference Suva, Fiji Island, 27-30 November 2012 Sharon R. Boe, SPC/GIZ-SOPAC (sharon@sopac.org) 2012 SPC/GIZ Regional REDD+ Project: Forest Carbon Inventory In Vanuatu Proposed Forest Mapping In Vanuatu

  2. ABBREVIATIONS • SPC – Secretariat of the Pacific Community • GIZ – Deutsche Gesellschaft fur InternationaleZusammenarbeit • 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

  3. PROJECT OVERVIEW • SPC/GIZ Climate Protection through Forest Conservation in Pacific Island CountriesProject >> 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

  4. 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: • Santo • Malekula • Efate • Erromango

  5. MAPPING ACTIVITIES • Delineation of coconut stands on Santo 2010 • Deforestation processing Santo 2007-2010 • Cloud correction Santo 1990-2000 • Deforestation processing Santo 2000-2007-2010 • Accuracy assessment Santo 2010

  6. Forest stratification (GHG Inventory, 2011)

  7. AVAILABLE IMAGERY

  8. 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

  9. 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

  10. 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 + = • RGB • R: HH • G: HV • B:HH/HV • HH/HV Ratio • Forest/Dense Vegetation (bright) • Non-Vegetation Areas (dark)

  11. CHALLENGES WITH CURRENT RADAR DATA Layover Effects Visible on most of Western Part of Santo: high altitude areas

  12. 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

  13. Semi-Automatic Forest Classification • Move into the use of semi-automatic classification for forest mapping: • Vanuatu Study (2007) conducted by Martin Heroldand his team • Supervised Classification • Maximum Likelihood Algorithm • Challenges • Trial Image Segmentation • E.g. Imagine Objective ext. for Erdas

  14. 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

  15. THANK YOU

More Related