Forest Monitoring App

Our service offers accurate, timely, and extensive monitoring capabilities for forest health risks and activities across any country's entire territory. Utilizing a series of sophisticated satellite imagery and vegetation indices such as LAI, MSAVI2, NDVI, NDWI, infrared imagery and others, it provides precise identification of areas at risk of infestation, disease, or other health issues.


Key Features:


Accurate Risk Area Identification: Through the use of time series of satellite imagery and various vegetation indices, the service can accurately identify areas at risk of health issues such as bark beetle infestations, diseases, and effects from windfalls.

Historical Data Analysis: With data available since 2019, the service can analyze historical trends and patterns, aiding in the understanding and management of forest health over time.

Comprehensive Coverage: It offers monitoring capabilities for the entire territory of any country.

Early Detection: Identifies small clusters of at-risk trees (3-5 trees) for prompt intervention.

Activity Monitoring: The service monitors other forest activities, including clear cuts, digging ditches, mowing, agriculture land usage, and thinning efforts.

GIS Integration: Supports integration with enterprise GIS systems through XYZ/TMS, WMS services, API, and file downloads.

Key Benefits:


Cost-Effective: Priced from 0.49 EUR/ha, offering a low-cost solution for nationwide forest health monitoring.

Time-Saving: Enables timely strategy adjustments through regular monitoring and early risk detection.

Timely Intervention: Facilitates immediate action to mitigate impacts, including targeted harvesting and insecticide application.

Healthy Tree Preservation: Allows for quick implementation of preventive measures like tree thinning to minimize damage risk.

Financial Savings: Maximizes financial returns by salvaging infested trees before they lose value and preventing further spread of infestation.

The service has demonstrated effectiveness and user satisfaction through successful testing examples covering over 2000 km², highlighting its capabilities in detecting bark beetle infestation and beaver dam activities.

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