Access denied
You have to activate javascript to use this system.
FOREST PATHWAYS
Joint Call 2026 - Partnering
Access denied
If you want to use this system with an 'Internert Explorer', than please use version 9 or higher.
Partnering
Requests and Offers
Back to list
Csilla Kőmives-Káldi
Hungary
Wozify Engineering Group Kft.
Small- and medium-sized enterprises (SMEs)
Earth Observation, Satellite Data, Remote Sensing, Geospatial AI, Forest Monitoring, Climate Resilience, Vegetation Monitoring, Change Detection, Decision Support
TOPIC 1 – Climate-Resilient Forest Systems
Wozify Engineering Group Kft. (Astro42) is interested in joining a consortium under Topic 1 – Climate-Resilient Forest Systems as an Earth Observation, geospatial AI and software technology partner.
We can contribute to the development of satellite-based monitoring and decision-support solutions for assessing forest ecosystem condition and spatial change under climate and environmental pressures. Our capabilities include processing and integrating satellite imagery, geospatial data analysis, AI-assisted classification and change detection, environmental data integration, and the development of scalable monitoring dashboards and decision-support platforms.
We are particularly interested in consortium activities related to vegetation condition monitoring, landscape-level spatial dynamics, disturbance detection, environmental change assessment, and the development of indicators or early-warning capabilities supporting climate-resilient forest systems.
Our relevant experience includes the Toshka Project, where we applied high-resolution satellite imagery and geospatial analytics for large-scale vegetation and land monitoring. In addition, through the LunaSpace project, we developed an automated, data-driven SaaS platform for satellite mission operations, including telemetry processing, visualisation and AI-supported scheduling. Together, these projects demonstrate our capabilities in satellite-data-related software engineering, geospatial analytics and scalable decision-support platforms. https://astro42.com/case-studies/
We can contribute to the development of satellite-based monitoring and decision-support solutions for assessing forest ecosystem condition and spatial change under climate and environmental pressures. Our capabilities include processing and integrating satellite imagery, geospatial data analysis, AI-assisted classification and change detection, environmental data integration, and the development of scalable monitoring dashboards and decision-support platforms.
We are particularly interested in consortium activities related to vegetation condition monitoring, landscape-level spatial dynamics, disturbance detection, environmental change assessment, and the development of indicators or early-warning capabilities supporting climate-resilient forest systems.
Our relevant experience includes the Toshka Project, where we applied high-resolution satellite imagery and geospatial analytics for large-scale vegetation and land monitoring. In addition, through the LunaSpace project, we developed an automated, data-driven SaaS platform for satellite mission operations, including telemetry processing, visualisation and AI-supported scheduling. Together, these projects demonstrate our capabilities in satellite-data-related software engineering, geospatial analytics and scalable decision-support platforms. https://astro42.com/case-studies/
Wozify Engineering Group Kft. (Astro42) is a Hungarian Earth Observation and AI technology company (SME) providing satellite-data processing, geospatial AI, automated change detection and decision-support solutions.
Relevant experience includes satellite-based vegetation and land monitoring, AI-supported geospatial analytics, environmental monitoring platforms and Earth Observation decision-support systems. Our references include:
- Toshka Project (Egyptian Ministry of Agriculture): large-area satellite and geospatial monitoring of agricultural land using PlanetScope imagery, NDVI-based vegetation health analysis, supervised classification and an AI model, with a decision-support dashboard for policy makers.
- MELT-B (ESA): processing of high-resolution thermal satellite imagery with geospatial analysis and AI-based assessment, delivering a scalable decision-support system for urban energy efficiency.
- SensFish seagrass monitoring platform: contribution to engineering and implementation components of an ecosystem monitoring platform, including integration of satellite EO and environmental data, data ingestion and harmonisation, geospatial visualisation and monitoring dashboards.
These projects provide transferable experience for forest applications such as vegetation health monitoring, land-cover analysis, environmental change detection, multi-source environmental data integration and geospatial decision-support. Astro42 is a Hungarian Earth Observation and AI technology company (SME) providing satellite-data processing, geospatial AI, automated change detection and decision-support solutions.
Relevant experience includes satellite-based vegetation and land monitoring, AI-supported geospatial analytics, environmental monitoring platforms and Earth Observation decision-support systems. Our references include:
- Toshka Project (Egyptian Ministry of Agriculture): large-area satellite and geospatial monitoring of agricultural land using PlanetScope imagery, NDVI-based vegetation health analysis, supervised classification and an AI model, with a decision-support dashboard for policy makers.
- MELT-B (ESA): processing of high-resolution thermal satellite imagery with geospatial analysis and AI-based assessment, delivering a scalable decision-support system for urban energy efficiency.
- SensFish seagrass monitoring platform: contribution to engineering and implementation components of an ecosystem monitoring platform, including integration of satellite EO and environmental data, data ingestion and harmonisation, geospatial visualisation and monitoring dashboards.
These projects provide transferable experience for forest applications such as vegetation health monitoring, land-cover analysis, environmental change detection, multi-source environmental data integration and geospatial decision-support.
Relevant experience includes satellite-based vegetation and land monitoring, AI-supported geospatial analytics, environmental monitoring platforms and Earth Observation decision-support systems. Our references include:
- Toshka Project (Egyptian Ministry of Agriculture): large-area satellite and geospatial monitoring of agricultural land using PlanetScope imagery, NDVI-based vegetation health analysis, supervised classification and an AI model, with a decision-support dashboard for policy makers.
- MELT-B (ESA): processing of high-resolution thermal satellite imagery with geospatial analysis and AI-based assessment, delivering a scalable decision-support system for urban energy efficiency.
- SensFish seagrass monitoring platform: contribution to engineering and implementation components of an ecosystem monitoring platform, including integration of satellite EO and environmental data, data ingestion and harmonisation, geospatial visualisation and monitoring dashboards.
These projects provide transferable experience for forest applications such as vegetation health monitoring, land-cover analysis, environmental change detection, multi-source environmental data integration and geospatial decision-support. Astro42 is a Hungarian Earth Observation and AI technology company (SME) providing satellite-data processing, geospatial AI, automated change detection and decision-support solutions.
Relevant experience includes satellite-based vegetation and land monitoring, AI-supported geospatial analytics, environmental monitoring platforms and Earth Observation decision-support systems. Our references include:
- Toshka Project (Egyptian Ministry of Agriculture): large-area satellite and geospatial monitoring of agricultural land using PlanetScope imagery, NDVI-based vegetation health analysis, supervised classification and an AI model, with a decision-support dashboard for policy makers.
- MELT-B (ESA): processing of high-resolution thermal satellite imagery with geospatial analysis and AI-based assessment, delivering a scalable decision-support system for urban energy efficiency.
- SensFish seagrass monitoring platform: contribution to engineering and implementation components of an ecosystem monitoring platform, including integration of satellite EO and environmental data, data ingestion and harmonisation, geospatial visualisation and monitoring dashboards.
These projects provide transferable experience for forest applications such as vegetation health monitoring, land-cover analysis, environmental change detection, multi-source environmental data integration and geospatial decision-support.