Kolibree-Tech offers access to XSensee, an Earth Observation platform providing 10× linear super-resolution of Sentinel-2 multispectral imagery, transforming native 10 m observations into georeferenced products with a nominal 1 m output pixel grid.

We seek cooperation with research consortia investigating forest resilience, ecosystem dynamics, disturbance regimes, biomass and carbon stocks under climate change.

XSensee can supply multi-temporal super-resolved imagery for:

- Fine-scale monitoring of canopy cover, forest fragmentation, canopy gaps and vegetation dynamics.
- Detection and assessment of wildfire damage, storm impacts, forest degradation and subsequent recovery.
- Improved spatial predictors for above-ground biomass (AGB) estimation and forest carbon modelling.
- Monitoring of reforestation, regeneration and climate-driven changes in forest structure.

Biomass applications can integrate XSensee products with forest inventory plots, airborne LiDAR, GEDI or SAR observations. We are particularly interested in studies assessing the added value of super-resolution against native Sentinel-2 data, using independent reference measurements and quantitative validation.

We offer configurable image-processing services, georeferenced multispectral datasets and associated processing metadata at preferential rates for non-commercial scientific R&D.

**Cooperation model:** specialised external service provider/subcontractor to eligible research beneficiaries, rather than a grant-funded consortium partner.

**Publication condition:** scientific publications using XSensee-generated imagery must acknowledge Kolibree-Tech s.r.l.s. and cite the XSensee platform and corresponding datasets. Citation details will be agreed as part of the research-use terms.

Kolibree-Tech s.r.l.s. is an Italian technology SME specialising in Earth Observation (EO), satellite image processing, geospatial intelligence and advanced software solutions.

The company develops XSensee, a proprietary geospatial intelligence platform integrating satellite data processing, multispectral image super-resolution, geospatial analytics and scalable data-processing workflows.

A core technological capability of XSensee is the application of 10× linear super-resolution to Sentinel-2 multispectral imagery, transforming native 10 m observations into enhanced products with nominal 1 m pixel spacing.

The platform supports the production of georeferenced, analysis-ready datasets for applications requiring finer-scale spatial information than standard satellite products. Its software architecture includes automated processing pipelines, geospatial data management and integration capabilities for scientific and operational workflows.

For the FORESTPathways Joint Call, Kolibree-Tech aims to make this existing capability available to European research institutions investigating forest ecosystems, climate resilience, precision forestry, disturbance monitoring, biomass estimation and forest-resource sustainability.

Our contribution focuses on:

- Multispectral satellite image enhancement and processing.
- Production of project-specific, super-resolved EO datasets.
- Multi-temporal geospatial analysis and data integration.
- Technical support for integrating enhanced imagery into scientific workflows.
- Support for quantitative validation against independent reference datasets.

As a commercial SME, Kolibree-Tech primarily seeks collaboration through specialist service contracts or subcontracting arrangements with eligible research beneficiaries.

To facilitate scientific research, the company offers preferential R&D pricing for non-commercial research activities conducted by universities, research institutes and non-profit research organisations.

Kolibree-Tech retains ownership of its pre-existing XSensee technology and requests appropriate acknowledgment and dataset citation in scientific publications using imagery generated through the platform.