Technicians from Guatemala, Honduras, and El Salvador are receiving specialized training in remote sensing and geospatial algorithms to improve environmental monitoring in the Trifinio Fraternidad Transboundary Biosphere Reserve (RBTTF), a natural gem vital to Mesoamerican biodiversity.
Through the Diploma in Remote Sensing and Algorithm Use—supported by the Biodiverse Landscapes Fund (BLF), the Trifinio Plan, Project for the Protection of the RBTTF, San Carlos University of Guatemala (USAC), and the Eastern University Center (CUNORI)—23 participants are gaining skills in Google Earth Engine, radar analysis, and the use of indices like NDVI to assess forest health.
Sentinel-2 A/B images of the Trifinio Fraternidad Transboundary Biosphere Reserve (ESA, 2022–2023), processed in Google Earth Engine.
“This training strengthens our local capacities and helps us make more sustainable decisions,” said Freddy Alexander Díaz, RBTTF project specialist.
“Each session brought practical and applicable knowledge for innovative solutions,” shared Flor María Rosas, monitoring technician.
Led by Sara Michelle Catalán (WCS), the training aims to address threats such as deforestation and wildfires by enabling more effective intervention planning.
Recognized by UNESCO in 2011, the RBTTF is a 427 km² protected area that hosts unique ecosystems and species like the spider monkey, puma, and emerald toucanet, while also providing essential water and climate services.
The diploma program will conclude in September as part of BLF’s regional effort to promote more resilient and biodiverse landscapes.