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Colombian Data Cube Forest and Carbon Monitoring System

Providing scientific information for sectoral planning through environmental indicators. Monitoring deforestation, carbon stocks, and GHG emissions since 2016 quarterly. Identification of hot spots and drivers of deforestation. Utilizing Landsat data for change detection. Building capacities for data cube management and new algorithm creation.

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Colombian Data Cube Forest and Carbon Monitoring System

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  1. CDCOL - Colombian Data Cube Forest and Carbon Monitoring System

  2. SCIENTIFIC INFORMATION AT THE SERVICE OF SECTORAL PLANNING Reports Environmental Indicators for SDG 6 15 www.ideam.gov.co/web/ecosistemas/ecosistemas-recursos-forestales

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

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

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

  6. Colombian Data Cube CDCol 17years FROM 2000-2016 30meters PIXEL RESOLUTION 3sensors LANDSAT 5/7/8 Downloading and ingestión of all country (Landsat 5-7-8) 27.070downloaded images LANDSAT 5/7/8 Applicacions: temporal composed imagery, change detection PCA, WOFS, land cover classification 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 Interface WEB: user management, algorithms bank 1.4x 1012 PIXELS

  7. Algorithms

  8. 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)

  9. Thanksforyourattention… Anyquestion? 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

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