Woodlands
Forest Health
MAPPING AND MONITORING WOODLAND AREAS
Sentinel-2 (MSI) provides global, regular and repeated coverage of inland, coastal and open sea waters under cloud-free sky. One of the many applications of Sentinel-2 data is for the monitoring of Woodland areas.
Woodland ecosystems underpin everything from Spain’s rural economies to Europe’s climate goals: they lock up vast carbon stocks, buffer floods, shelter biodiversity and feed local supply chains—yet they are increasingly strained by pests, drought and illegal logging. Because manual surveys struggle to keep pace, the open-access Copernicus Sentinel fleet has become a game-changer for forest guardians. Optical Sentinel-2 images (10–20 m) can be stacked every five days to flag subtle canopy changes; giving managers an early-warning layer they never had before. Radar-based Sentinel-1 cuts through clouds to deliver weekly “RADD” alerts of selective logging or road building, while its dense time-series feed Europe’s biomass maps that quantify how much carbon each hectare of forest is storing. In combination, Sentinel-1 and -2 can pinpoint clear-cuts down to half a hectare, classify forest types and reveal disturbance fronts, providing the evidence base that policymakers need to enforce Spain’s pest-control, wildfire-risk and timber-legality regulations.
S2 and S1 routinely collect large amounts of images which are made freely available. The vast amounts of data produced by the constellation of satellites are a great opportunity to develop systems for marine ecosystem monitoring in shallow coastal waters. To become fully operational, these processing systems must be entirely automatic with a controlled level of reliability and robustness.
Pine Processionary: The pine processionary is as much a public-health issue as it is a forestry pest.
In Spain, about 5.7 million ha of Spanish conifer forest lie within the moth’s climatic envelope; in 2025 authorities treated ≈65 000 ha of pine stands in the Community of Madrid, while Murcia reported 8 000 ha of active defoliation.
Seasonal “parades” run late winter → early spring – the caterpillars overwinter in silken tents and march down the trunks roughly February-April, with most mass descents recorded around March–early April.
Each larva packs ~500 000 stinging hairs – third-instar caterpillars are covered in urticating setae loaded with the allergen thaumetopoein, able to trigger rashes, conjunctivitis or even anaphylaxis in people and other mammals without direct contact.
Climate change is pushing the front – Warmer winters over the past three decades have let colonies survive beyond their historic Mediterranean stronghold and start earlier in the season. line north and uphill.
Projects
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SENTINEL-1
Synthetic Aperture Radar (SAR)
Wave aquisition mode
20 km by 20 km at 5 m spatial resolution
6 day revisit at equator
SENTINEL-2
Multispectral Instrument (MSI)
13 spectral bands: four of them at 10 m spatial resolution
5 day revisit at equator
The pine processionary moth (Thaumetopoea pityocampa) is one of the most damaging pests affecting pine and cedar forests in Spain. Defoliation weakens trees and increases their vulnerability to drought and secondary stressors, while the larvae also pose a health risk to people and animals due to their urticating hairs.
SIMBAD is developing an early-detection and monitoring capability for the region of Castilla y León (Spain), combining multispectral satellite imagery, Synthetic Aperture Radar (SAR), drone in-situ data, and environmental variables with Artificial Intelligence to support forest managers with actionable indicators.
Quasar’s system produces operational indicators linked to the presence and progression of Thaumetopoea pityocampa by integrating Sentinel data with drone-derived observations and environmental information. The objective is to implement the validated early detection model in a selected study area, enabling forest authorities to plan and prioritize mitigation measures and reduce environmental and economic losses associated with outbreaks.
Products | Applications | Services
Woodlands Monitoring Products
- Pine processionary presence / activity indicators (raster maps)
- Early-warning layers highlighting areas with anomalous vegetation behavior consistent with infestation progression
- Time-series monitoring products to track evolution across seasons/years
- Management-ready outputs (maps and GIS layers) for integration into existing workflows
Woodlands Monitoring Applications
The Woodland Monitoring Products can be used for different applications. Some examples are:
- Early detection and prioritization of field inspections and interventions
- Targeted planning of mitigation measures to optimize resources across large forest areas
- Before/after assessment of management actions and outbreak evolution
- Support for risk communication in areas with potential public/animal health exposure
- Decision support for regional forest authorities responsible for monitoring and control
Woodlands Monitoring Services
- Pilot deployment and validation in operational conditions within the study area
- Algorithm adaptation to local conditions (species, forest typology, phenology, climate) using environmental and drone reference data
- Integration support for GIS and reporting pipelines used by administrations and forest managers
Woodlands | Application Examples
FOREST HEALTH AND PLAGUE CONTROL
Tools and indicators improve forest management and control of the pine processionary moth, reducing the pest's environmental and economic impact. The pine processionary moth–driven defoliation can be detected at a spatial resolution suitable for operational forest management. Pixel-level and year-of-infestation indicators quantify defoliation severity over time, providing a robust reference to confirm the model’s accuracy.






