首页|New Engineering Findings Reported from University of Maine (Modeling Forest Cano py Structure and Developing a Stand Health Index Using Satellite Remote Sensing)

New Engineering Findings Reported from University of Maine (Modeling Forest Cano py Structure and Developing a Stand Health Index Using Satellite Remote Sensing)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Engineering. According to news reporting out ofOrono, Maine, by NewsRx editors, research stated, “Biotic and abiotic disturbances modify tree structureand deg rade stand health. Accurate geospatial data on stand structure is important for monitoring treegrowth, forest health, progression and severity of diseases and pests, and estimating resilience to climatestress.”

OronoMaineUnited StatesNorth and C entral AmericaEngineeringRemote SensingUniversity of Maine

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Nov.28)