Applications of artificial intelligence and LiDAR in forest inventories: A Systematic Literature Review

IF 4 3区计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Computers & Electrical Engineering Pub Date : 2024-10-29 DOI:10.1016/j.compeleceng.2024.109793

Welington G. Rodrigues , Gabriel S. Vieira , Christian D. Cabacinha , Renato F. Bulcão-Neto , Fabrizzio Soares

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Abstract

Forest inventory is a crucial tool for managing forest resources by providing quantitative and qualitative information about a particular region, much of which is collected manually in the field. Using devices such as Light Detection and Ranging (LiDAR) assists in collecting and analyzing various parameters of forest inventory. Adopting artificial intelligence (AI) techniques has sparked interest among forestry engineers seeking to work with forest LiDAR data. In this context, this study presents a Systematic Literature Review (SLR) to identify, evaluate, and interpret the results of primary studies related to the intersection between AI and Forestry Engineering. The automated search strategy retrieved 218 studies, of which 46 were selected after applying inclusion and exclusion criteria and quality assessment. After analyzing and synthesizing the data, the results showed that deep learning is becoming an increasing trend in recent research and that the direct estimation of tree diameter from aerial scans, although critical, has been minimally explored, highlighting an open field for future research.

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人工智能和激光雷达在森林资源调查中的应用：系统文献综述

森林资源清查是管理森林资源的重要工具，可提供特定区域的定量和定性信息，其中大部分信息都是在实地人工收集的。使用光探测和测距（LiDAR）等设备有助于收集和分析森林资源调查的各种参数。采用人工智能（AI）技术引发了林业工程师对使用森林 LiDAR 数据的兴趣。在此背景下，本研究通过系统文献综述（SLR）来识别、评估和解释与人工智能和林业工程交叉相关的主要研究成果。自动搜索策略检索到 218 项研究，在应用纳入和排除标准并进行质量评估后，从中筛选出 46 项研究。在对数据进行分析和综合后，结果表明，深度学习在近期的研究中日益成为一种趋势，而从航空扫描中直接估算树木直径虽然至关重要，但却很少得到探索，这凸显了未来研究的一个开放领域。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computers & Electrical Engineering 工程技术-工程：电子与电气

CiteScore

9.20

自引率

7.00%

发文量

661

审稿时长

47 days

期刊介绍： The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency. Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.