基于多源数据集的森林损失评估研究
收稿日期: 2024-05-31
修回日期: 2024-12-10
网络出版日期: 2025-04-18
基金资助
科技部国家重点研发计划课题“多种生态系统服务与生物多样性协同提升的综合森林管理多方参与体系和运行机制”(2023YFE0112803)
Research on Forest Loss Assessment Based on Multi-Source Datasets
Received date: 2024-05-31
Revised date: 2024-12-10
Online published: 2025-04-18
蔡颖莉 , 朱洪革 . 基于多源数据集的森林损失评估研究[J]. 林草资源研究, 2024 , 0(6) : 27 -34 . DOI: 10.13466/j.cnki.lczyyj.2024.06.004
Accurate assessment of forest loss is essential to effectively curb forest area loss and guaranteeing the provision of forest ecosystem services.This research systematizes the research progress of forest loss assessment and categorizes principal datasets into forest inventory datasets and satellite remote sensing image datasets.A comprehensive analysis of these datasets reveals the advantages and disadvantages and evaluates the assessment efficacy of different datasets by comparing their limitations as indicated in current studies.Based on these findings,three optimization strategies are proposed.1)Endogenous optimization of the dataset to improve its assessment accuracy.2)Employing dataset fusion techniques to integrate the strengths of multiple datasets for complementary benefits.3)Incorporating geographic information data to enhance the comprehensiveness and accuracy of forest loss assessment.A comprehensive review of datasets for forest loss assessment not only augments the theoretical framework of this research domain but also lays the scientific foundation for efficient conservation and management of forest resources.
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