Before adopting GIS, Azercosmos faced fragmented and delayed climate data collection. Traditional methods couldn’t keep pace with the dynamic environmental changes occurring across the country. Using high-resolution imagery from SPOT6/Azersky satellites, Azercosmos developed a centralized GIS infrastructure that enables dynamic monitoring of climate-sensitive indicators, including:
- Vegetation health
- Soil moisture
- Surface temperature
- Glacial melt
- Drought impact
- Land degradation
At the core of this infrastructure is ArcGIS Enterprise—a complete GIS software that helps users manage, map, visualize, and analyze their data—which serves as the agency’s secure data hub for managing and analyzing large EO datasets. It provides Azercosmos teams with a comprehensive set of tools to meet a wide range of operational needs.
For example, Azercosmos teams use Esri tools to process satellite imagery and calculate vegetation indexes (NDVI), track water body shrinkage using spectral analysis, and generate land surface temperature models. These technologies allow staff to organize spatial data, create high quality 2D, 3D, and 4D visualizations, and perform advanced mapping analytics.
Meanwhile, staff use ArcGIS Dashboards to visualize these metrics in real time for various stakeholders, including government ministries, researchers, and international partners. Staff also use ArcGIS StoryMaps to turn complex climate data into engaging, interactive narratives by combining maps, multimedia, and embedded content.
One key milestone was the development of the Climate Risk Atlas of Azerbaijan, an interactive digital platform that maps vulnerable regions based on composite indicators such as deforestation rates, flood risk, and temperature anomalies over time.
This platform has strengthened collaboration between space analysts and ecological experts, while also reducing the time lag between data collection and response.
“We’ve gone from reactive assessments to proactive forecasting,” explained Badirkhanov. “Now, when a drought starts to emerge, we can see it forming in the data and advise authorities before it becomes a crisis.”