Forest and Grassland Resources Research >
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
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.
Yingli CAI , Hongge ZHU . Research on Forest Loss Assessment Based on Multi-Source Datasets[J]. Forest and Grassland Resources Research, 2024 , 0(6) : 27 -34 . DOI: 10.13466/j.cnki.lczyyj.2024.06.004
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