Aerolaserskaneerimise kasutamine metsakorralduse alusena

Q4 Agricultural and Biological Sciences Forestry Studies Pub Date : 2020-12-01 DOI:10.2478/fsmu-2020-0020
Tauri Arumäe, Mait Lang
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引用次数: 1

Abstract

Abstract In this summary, we give an overview of the application of airborne laser scanning (ALS) data for predicting the main forest inventory variables in Estonia. When Estonia being one of the few countries with wall-to-wall ALS availability, the need for applicable models for Estonian forests was imminent. Over the past decade, different studies have been carried out to develop models for standing wood volume, forest height, canopy cover, canopy base height, and methods for monitoring height growth and detect small-scale harvests. The main findings showed strong correlations for all the studied parameters and different methods utilizing low-density lidar data for practical forest inventory purposes. Options for using repea ted ALS measurements for continuous forest inventory are discussed.
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摘要本文综述了机载激光扫描(ALS)数据在预测爱沙尼亚主要森林资源清查变量中的应用。由于爱沙尼亚是少数几个可以全面使用ALS的国家之一,因此迫切需要为爱沙尼亚森林制定适用的模式。在过去的十年中,开展了不同的研究,以建立立木量、森林高度、冠层覆盖、冠层底高的模型,以及监测高度增长和检测小规模采伐的方法。主要研究结果表明,所有研究参数和利用低密度激光雷达数据进行实际森林清查的不同方法之间存在很强的相关性。讨论了在连续森林清查中使用重复ALS测量的选择。
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来源期刊
Forestry Studies
Forestry Studies Agricultural and Biological Sciences-Forestry
CiteScore
0.70
自引率
0.00%
发文量
0
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