Forest Resources Inventory, Monitoring, and Assessment

A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Inventory, Modeling and Remote Sensing".

Deadline for manuscript submissions: 31 March 2026 | Viewed by 709

Special Issue Editor


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Guest Editor
Academy of Inventory and Planning, National Forestry and Grassland Administration, Beijing, China
Interests: forest resources inventory and monitoring; forestry modeling; statistics; sampling; climate change
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Special Issue Information

Dear Colleagues,

Forest resources inventory, monitoring, and assessment are important foundations for scientific forest management, planning implementation assessment, and reasonable decision-making. National forest inventory (NFI) mainly serves macro forestry decision-making, forestry development planning, and global forest resource assessment, while forest management inventory (FMI) mainly serves scientific forest management and sustainable development. Integrated monitoring that combines NFI and FMI can meet the needs of information on forest resources at different levels such as global, regional, national and local, and should become part of the future development of forest resource inventory and monitoring. With the implementation of carbon peaking and carbon neutrality strategies, forest biomass and forest carbon storage have increasingly become as extremely important factors as forest stock volume in forest resource inventory and monitoring. In addition, the integrated application of traditional technologies, such as measuring, sampling, and modeling, with modern technologies, such as remote sensing, global positioning, geographic information systems, and AI technology, would facilitate the enhanced efficiency and quality of forest resource inventory, monitoring, and assessment. The comprehensive monitoring of various natural resources such as forests, grasslands, and wetlands is set to become a future development trend.

Prof. Dr. Weisheng Zeng
Guest Editor

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Keywords

  • national forest inventory
  • forest management inventory
  • integrated monitoring
  • biomass and carbon monitoring
  • remote sensing application
  • ecosystem services assessment

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Published Papers (1 paper)

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Research

20 pages, 3300 KB  
Article
Development of an Integrated Forestry Survey Device for Tree Height and DBH
by Ao Xu, Xianfang Zheng, Kejie Zhao, Shaobin Zhang, Linhao Sun and Luming Fang
Forests 2025, 16(10), 1529; https://doi.org/10.3390/f16101529 - 30 Sep 2025
Viewed by 248
Abstract
Tree diameter at breast height (DBH) and tree height are important quantitative attributes in forestry surveys. They serve as essential data for calculating forest stock, growth, and carbon sequestration, and are of significant research value for forest health assessments and other research outcomes. [...] Read more.
Tree diameter at breast height (DBH) and tree height are important quantitative attributes in forestry surveys. They serve as essential data for calculating forest stock, growth, and carbon sequestration, and are of significant research value for forest health assessments and other research outcomes. To improve the efficiency of forest resource inventories and to reduce labor costs, a forestry survey device integrating multiple sensors has been developed. Based on the principles of laser ranging and the tunnel magnetoresistance effect, this device integrates both the DBH and tree height measurements. Compared to traditional measurement methods, it boasts a compact size, low cost, and high measurement accuracy. Experimental applications have shown that the average root mean square error (RMSE) of tree height measurements ranges from 31 to 55 cm, while the DBH measurement accuracy reaches 98%, We acknowledge that, although this accuracy meets the requirements for general forestry surveys, it still falls short of the accuracy required for high-precision forest resource surveys (<20 cm), which points to a direction for future improvement. Full article
(This article belongs to the Special Issue Forest Resources Inventory, Monitoring, and Assessment)
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