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

2. 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

3. 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

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

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

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

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

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. Thanks for your attention… Any question?
María Teresa Becerra
Edersson Cabrera
Gustavo Galindo
Pilar Lozano-Rivera