Francesco Latterini , Nicoló Camarretta , Michael S. Watt
{"title":"Remote sensing for planning harvesting operations and monitoring their effects on the forest ecosystem: State of the art and future perspectives","authors":"Francesco Latterini , Nicoló Camarretta , Michael S. Watt","doi":"10.1016/j.foreco.2025.123175","DOIUrl":null,"url":null,"abstract":"<div><div>To balance economic and environmental needs, sustainable forest management is essential, requiring strategies that minimise the disturbance caused by management and operations to the forest ecosystem. Effective planning and monitoring are the foundation of this approach, ensuring that harvesting activities do not compromise long-term forest health. Remote sensing has emerged as a powerful tool for achieving sustainable forestry, offering precise data for planning operations and assessing their environmental impact. To summarise the state of the art in this area and define future research needs, we reviewed remote sensing application for planning and monitoring forest operations. Over the past twelve years, advances in satellite and sensor technologies have significantly improved forest management strategies. Light Detection and Ranging (LiDAR), an active remote sensing sensor, plays a fundamental role in designing accessibility networks and mapping soil trafficability, ensuring that machinery access routes are optimised to reduce soil degradation. It is also a key input for decision support systems aimed at refining felling strategies, allowing for a more selective and sustainable approach to timber extraction. Both satellite imagery and LiDAR data are widely used for monitoring the environmental impacts of forest operations, with satellite imagery primarily assessing canopy disturbance, while airborne or terrestrial LiDAR captures both canopy and soil disruptions. Advances in artificial intelligence and the integration of various remote sensing technologies will further improve the possibility of monitoring the disturbance related to forest operations, by increasing the detection accuracy and improving the process of disturbance detection. However, to transition from research to widespread operational use, it is crucial to develop user-friendly software interfaces and establish training programs tailored to forestry practitioners, whose decision-making often occurs in resource-limited field environments. By addressing these operational realities, such tools can become genuinely accessible instruments for sustainable forest operations.</div></div>","PeriodicalId":12350,"journal":{"name":"Forest Ecology and Management","volume":"597 ","pages":"Article 123175"},"PeriodicalIF":3.7000,"publicationDate":"2025-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forest Ecology and Management","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378112725006838","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FORESTRY","Score":null,"Total":0}
引用次数: 0
Abstract
To balance economic and environmental needs, sustainable forest management is essential, requiring strategies that minimise the disturbance caused by management and operations to the forest ecosystem. Effective planning and monitoring are the foundation of this approach, ensuring that harvesting activities do not compromise long-term forest health. Remote sensing has emerged as a powerful tool for achieving sustainable forestry, offering precise data for planning operations and assessing their environmental impact. To summarise the state of the art in this area and define future research needs, we reviewed remote sensing application for planning and monitoring forest operations. Over the past twelve years, advances in satellite and sensor technologies have significantly improved forest management strategies. Light Detection and Ranging (LiDAR), an active remote sensing sensor, plays a fundamental role in designing accessibility networks and mapping soil trafficability, ensuring that machinery access routes are optimised to reduce soil degradation. It is also a key input for decision support systems aimed at refining felling strategies, allowing for a more selective and sustainable approach to timber extraction. Both satellite imagery and LiDAR data are widely used for monitoring the environmental impacts of forest operations, with satellite imagery primarily assessing canopy disturbance, while airborne or terrestrial LiDAR captures both canopy and soil disruptions. Advances in artificial intelligence and the integration of various remote sensing technologies will further improve the possibility of monitoring the disturbance related to forest operations, by increasing the detection accuracy and improving the process of disturbance detection. However, to transition from research to widespread operational use, it is crucial to develop user-friendly software interfaces and establish training programs tailored to forestry practitioners, whose decision-making often occurs in resource-limited field environments. By addressing these operational realities, such tools can become genuinely accessible instruments for sustainable forest operations.
期刊介绍:
Forest Ecology and Management publishes scientific articles linking forest ecology with forest management, focusing on the application of biological, ecological and social knowledge to the management and conservation of plantations and natural forests. The scope of the journal includes all forest ecosystems of the world.
A peer-review process ensures the quality and international interest of the manuscripts accepted for publication. The journal encourages communication between scientists in disparate fields who share a common interest in ecology and forest management, bridging the gap between research workers and forest managers.
We encourage submission of papers that will have the strongest interest and value to the Journal''s international readership. Some key features of papers with strong interest include:
1. Clear connections between the ecology and management of forests;
2. Novel ideas or approaches to important challenges in forest ecology and management;
3. Studies that address a population of interest beyond the scale of single research sites, Three key points in the design of forest experiments, Forest Ecology and Management 255 (2008) 2022-2023);
4. Review Articles on timely, important topics. Authors are welcome to contact one of the editors to discuss the suitability of a potential review manuscript.
The Journal encourages proposals for special issues examining important areas of forest ecology and management. Potential guest editors should contact any of the Editors to begin discussions about topics, potential papers, and other details.