MRV Reporting Status Related Space Data Needs COLOMBIA
MRV & Reporting Status & Related Space Data Needs COLOMBIA EDERSSON CABRERA M. Coordinator Forest and Carbon Monitoring System SDCG-7 Sydney, Australia March 4 th – 6 th 2015
Status of National MRV Implementation Integrating remotesensing and ground-based data for Forest monitoring. MODIS MOD 13 A ALOS PALSAR Scan. SAR Landsat 5/7/8 Rapid. Eye ALOS PALSAR (FBS-FBD) Landsat 5 -7 -8 Spot 5 -6 2
Space Data Needs. Based on actual available sensors. • Semi-annual early warning System. Coarse resolution datasets – SAR. Best L band sensors or C/X band. Wide Beam modes. – Optical. Coarse resolutions, MODIS/LISS sensors. • Annual wall-to-wall. Medium resolutions datasets. – Landsat 8. Dedicated connection for the whole catalog. Pixel by pixel co-registered. – SAR. Best L band sensors or C/X band. Fine Beam modes. At least for the Pacific region whole coverage. SDCG-4, Caltech, CA, USA 4 th-6 th September 2013
Space Data Needs. Based on actual available sensors. • Annual wall-to-wall. Medium resolutions datasets. – Other medium resolutions catalogues (SPOT 5, LISS III/IV, next CBERS. – Validation based on stratified sample of High resolution images (i. e. spot 5/6, Rapid. Eye, QB, Ikonos, Formosat). • DEM. National cover at the major resolution for pre- processing steps of Optical/SAR catalogues (SRTM, SRTM-ASTER, SDCG-4, Caltech, CA, Tan. DEM). USA 4 th-6 th September 2013
Space Data Needs. Based on actual available sensors. • Plans: – SAR Interferometric catalogues for precision change cover analysis. Actually this information is not available for the country. – SAR/Optical complete time series to assure time consistency (deforestation and degradation ). Current challenges & obstacles. – Operational pre-processing SAR algorithms. – Cloud computing. – Degradation analysis. SDCG-4, Caltech, CA, USA 4 th-6 th September 2013
Space Data Needs Forest Monitoring System. § Semi-annual early warning System. Wall-to-Wall Coarse resolution. § Optical. Coarse resolutions, MODIS/VIRS sensors. § SAR. Best L band sensors or C/X band. Wide Beam modes. § Annual wall-to-wall. Medium resolutions datasets. § Landsat 8. Dedicated connection for the whole catalog. Surface reflectance level, also historical catalogue. § SAR. Best L band sensors or C/X band. Fine Beam modes. § At least for the Pacific region whole coverage. Joint work with Sentinel 1 A data. Deforestation Early warning Semestral Active areas Identification Carbon monitoring - Carbon Stocks - Emissions GEI Tier 2*. Annual SDCG-7 Sydney, Australia March 4 th – 6 th 2015 Deforestation / Forest Cover monitoring - Forest Cover quantification - Forest loss quantification Approach 3*. 6
Space Data Needs Forest Monitoring System. Deforestation Early warning § Annual wall-to-wall. Medium resolutions datasets. Semestral Active areas Identification § Other medium resolutions catalogues (SPOT 5, LISS III/IV, next CBERS. § Validation based on stratified sample of High resolution images (i. e. spot 5/6, Rapid. Eye, QB, Ikonos, Formosat). Carbon monitoring - Carbon Stocks - Emissions GEI Tier 2*. Annual Deforestation / Forest Cover monitoring - Forest Cover quantification - Forest loss quantification Approach 3*. SDCG-7 Sydney, Australia March 4 th – 6 th 2015 7
Space Data needs Accuracy assessment Class Sample adjusted 2705 2600 6 200 Non Forest 2392 2300 Without information 5103 5100 TOTAL 2705 2600 Forest Deforestation 8
Space Data Needs Forest Monitoring System. § DEM. National cover at the major resolution for pre-processing steps of Optical/SAR catalogues (SRTM, Tan. DEM-X). § Plans: § SAR Interferometric catalogues for precision change cover analysis. Actually this information is not available for the country. § SAR/Optical complete time series to assure time consistency (deforestation and degradation ). 9
Current challenges & obstacles. – Availability of RS to implement operational phase of MGD – Availability of Operational pre-processing SAR algorithms. – Availability of funding to do a “joint work” with SDCG-MGD – Data infrastructure / Cloud computing (Datacube? FAO-SDMS? , SDMS? ).
!Thank you! !Muchas gracias ! More Information smbyc@ideam. gov. co ecabreram@ideam. gov. co SDCG-7 Sydney, Australia March 4 th – 6 th 2015
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