CDCOL - Colombian Data Cube

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Presentation transcript:

CDCOL - Colombian Data Cube Forest and Carbon Monitoring System

SECTORAL AT THE SERVICE OF SCIENTIFIC INFORMATION AT THE SERVICE OF SECTORAL PLANNING Ecosystem and Environmental Information Department F&C Monitoring System Statistic Certification (3 years) Reports Environmental Indicators for SDG 6 15 www.ideam.gov.co/web/ecosistemas/ecosistemas-recursos-forestales

FOREST AND CARBON MONITORING SYSTEM Since 2013 Annual Early warning Identifying hot spots Carbon monitoring - Carbon stocks - GHG Emissions National quantification of deforestation - Forest areas - Forest change detection Deforestation rate Since 2016 Quarterly C&A Deforestation and Degradation - Caracterization - Modelation 1 3 2 4 5 6 7 8

Deforestation in Colombia Deforestation rate 44% 178.597 ha 2016 124.035 ha 2015

Deforestation drivers Direct causes of deforestation Pasture conversion Road infrastructure Illicit crops Mineral extraction (illicit *) Extensive cattle raising Forest Fires 7 hotspot 1990-2000 2016

Colombian Data Cube CDCol Downloading and ingestión of all country (Landsat 5-7-8) 17years FROM 2000-2016 30meters PIXEL RESOLUTION 3sensors LANDSAT 5/7/8 27.070downloaded images LANDSAT 5/7/8 Interface WEB: user management, algorithms bank 16.400 ingested images LANDSAT 5/7/8 17.2TB NO DATA CUBE Workshops and capacity building 135.441tiles LANDSAT 5/7/8 3.8TB DATA CUBE - NETCDF Applicacions: temporal composed imagery, change detection PCA, WOFS, land cover classification 1.4x 1012 PIXELS

Algorithms Temporal medians compounds Forest-No forest classification Unsupervised Classification Random Forest WOFS –adapted Change detection using PCA NDVI NDSI

Lesson Learned and recommendations Is important to define agreements between national entities to establish responsibilities for reporting SDGs Also, is important to build capacities in order to continue the statistic operations for generating official information Is needed a national capacity for administration the Data Cube and for creation of new algorithms (python) in order to support new information products (SDG) Is needed a very powerful technological infrastructure to manage the Big Data of EO (which is growing exponentially)

Thanks for your attention… Any question? María Teresa Becerra mtbecerra@ideam.gov-co Edersson Cabrera ecabreram@ideam.gov.co Gustavo Galindo ggalindo@ideam.gov.co Pilar Lozano-Rivera plozano@ideam.gov.co