Robotics & Machine Learning Daily News2024,Issue(Nov.28) :66-67.

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

缅因大学新的工程发现(建模)森林群落结构与林分健康指数的建立利用卫星遥感

Robotics & Machine Learning Daily News2024,Issue(Nov.28) :66-67.

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

缅因大学新的工程发现(建模)森林群落结构与林分健康指数的建立利用卫星遥感

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员讨论工程方面的新发现。根据新闻报道缅因州奥罗诺,NewsRx编辑,研究称,“生物和非生物干扰改变了树木结构。”和德拉德站立健康。准确的林分结构地理空间数据对林木监测具有重要意义生长、森林健康、病虫害的进展和严重程度,以及评估对气候的适应能力压力。

Abstract

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.”

Key words

Orono/Maine/United States/North and C entral America/Engineering/Remote Sensing/University of Maine

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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