Work

Scaling up Environmental Governance in Precision Forestry

Year: 2024

Type: book-chapter

Abstract: Precision Forestry is an emerging approach that uses digital technologies for data-driven decision-making in environmental management. Traditional methods for assessing tree risk are often subjective and focus on individual trees using mechanical approaches. The #SecureTree model offers an innovative alternative by deploying sensors to measure biophysical parameters like temperature, humidity, and acceleration. Data from these sensors is processed to create a risk assessment map based on the progression of trees' behaviors. This model is non-invasive and objective, addressing risk more effectively than current methods. Field tests validated the model's accuracy and highlighted its potential to identify long-term risk trends, enabling better planning for disruptive events and the development of digital strategies for emergency management.

Source: Studies in health technology and informatics

DOI: 10.3233/shti241055

Authors: Adriano Tramontano, Giulio Perillo, Mario Magliulo, Oscar Tamburis

Institutions: Institute of Biostructure and Bioimaging, National Research Council

Language: English

Topic: Tree Root and Stability Studies

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Life on land, Climate action, Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W4404612013

FWCI: 1.757

Cites:

Cited by: 1

Related to: 10