ForGrowth IoTRS
New insights on the current dynamics of forest growth in changing climatic and environmental conditions using modern technologies - Internet of Things coupled with remote sensing.
About the project
Project Description – Purpose and Scope
The project focuses on improving our understanding of how forests grow and respond to changing climate and environmental conditions, with a particular emphasis on Scots pine and Norway spruce, two key tree species in Central Europe. It introduces a novel, multidimensional approach that integrates Internet of Things (IoT) sensor networks with remote sensing (RS) technologies.
By using a system of IoT-based dendrometers and environmental sensors, researchers will monitor tree growth in near-real time across research sites in Poland (IoTreesNet) and the Czech Republic (DendroNetwork). These ground-based observations will be combined with data from satellites and airborne laser scanning (ALS) to model forest dynamics at tree, stand, and regional scales.
The project’s main objectives include:
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Identifying key tree, site, and climate factors affecting growth.
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Developing predictive models for annual and real-time growth.
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Simulating future forest development under various climate change scenarios.
Ultimately, this research will support precision forestry and improve tools for climate adaptation, forest management, and biodiversity conservation. The project also addresses urgent needs related to forest health, carbon sequestration, and early warning systems for tree stress or mortality, with practical applications for science, policy, and forest users.
