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Decision and Policy Analysis Research Area – DAPA

Pilot initiative: How does Terra-i data link to on-the-ground events in Colombia?

Recently, Terra-i habitat loss data has been explored by research work independent from the Terra-i team’s periodic case studies. Sergio Cortes, a former master’s student from the University of Southampton (United Kingdom), assessed the ground truth drivers of land cover and land use changes at a local scale in the departments of Cundinamarca and Tolima (Colombia) based on Terra-i data from 2004 to 2011. Qualitative data were analyzed in the field through direct interviews with communities in both sites to verify the habitat-loss information produced by Terra-i. The results confirmed the link between computerized land-use change detections and on-the-ground industrialization and overexploitation in sensitive habitats. 

Figure 1.   The land-use recognized during the individual’s field visit in the municipality of “El Espinal” (Tolima): sorghum crop (left) and paddock (right).

Figure 1. The land-use recognized during the individual’s field visit in the municipality of “El Espinal” (Tolima): sorghum crop (left) and paddock (right).

Ground-truthing Terra-i data

Sergio Cortes, former MSc of the University of Southampton, told the Terra-i team that the aim for his research was to visit two municipalities in Colombia (“Cota” and “El Espinal”), identifying areas of rapid deforestation or land-use change and thus ground-truthing the data from Terra-i (Figure 2).

Figure 2.   Field sites (green shapes) where Terra-i land-use detections from between 2004-2011 (yellow to red spots) were verified, in the municipalities of El Espinal (Tolima) and Cota (Cundinamarca), Colombia.

Figure 2. Field sites (green shapes) where Terra-i land-use detections from between 2004-2011 (yellow to red spots) were verified, in the municipalities of El Espinal (Tolima) and Cota (Cundinamarca), Colombia.

He also hoped to establish local drivers of land use change and explore the impact of change on communities in the area. Direct interviews with the communities verified information given by Terra-i about habitat change in those areas.

Verification of transformation

Some fundamental questions that allow to Sergio to introduce issues described in this research were:

– What are the processes leading to the land-use change identified by Terra-i (e.g. forest to agriculture, agriculture to industry, among others)?

– Has Terra-i software correctly identified areas with high rates of deforestation during the last eight years?

– What are the external drivers in the land-use change?

The results

The two sites were characterized by highly fertile soils in addition to a high incidence of industrial activities (Figure 3). The Terra-i data extracted to identify potentially disturbed sites indicated a trend of change from agriculture to industry in one site (Cundinamarca), and intensification of agriculture in the other (Tolima).

Sergio concluded that Terra-i has accurately identified those areas which have undergone land-use transformations in recent years.

Figure 3.   Photos from Sergio’s field work demonstrating the land-use conditions that were found at each site.

Figure 3. Photos from Sergio’s field work demonstrating the land-use conditions that were found at each site.

How did Terra-i go from the Internet to the individual?

Sergio communicated personally with the Terra-i team after he noticed the tool’s potential through a connection with The ESPA ASSETS (Attaining Sustainable Services from Ecosystems Through Trade-off Scenarios) initiative. Such initiatives—led by a variety of institutions and their host universities–have started to rely on Terra-i data thanks to its time sensitive and highly consistent  information, as this case study has shown.

Further information about Sergio’s work can be found on the Terra-i website in the Publications section.

The Terra-i team invites its users to share about further research or initiatives making use of its data.

This article was authored by the members of the Terra-i team. The team is grateful to Sergio for sharing the details of his work as well as the digital version of his thesis. Revision of English-language version by Caitlin Peterson (CIAT / CCAFS visiting researcher).

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