福州大学学报（自然科学版）2025，Vol.53Issue(2)：144-150,7.DOI:10.7631/issn.1000-2243.24034
基于多源遥感的森林地上碳储量研究进展
Research progress on forest aboveground carbon storage based on multi-source remote sensing
摘要
Abstract
Forest aboveground carbon storage is an important indicator of the carbon storage capacity of forest ecosystems.With the advancement of remote sensing technology,research on forest aboveground carbon storage based on remote sensing continues to develop.By examining the shortcomings of using single remote sensing data for estimating forest aboveground carbon storage,it is proposed that multi-source remote sensing estimation of forest aboveground carbon storage is the future research trend.Emphasis is placed on analyzing the current application status and advantages and disadvantages of several types of machine learning algorithms in the construction of forest above ground carbon storage inversion models.It is pointed out that when machine learning algorithms are applied to the construc-tion of forest above ground carbon storage inversion models,the selection and determination of charac-teristic variables,as well as the reasonable setting of model parameters,are the key factors determi-ning the accuracy of model inversion.关键词
地上碳储量/森林/多源遥感/机器学习Key words
aboveground carbon storage/forests/multi-source remote sensing/machine learning分类
信息技术与安全科学引用本文复制引用
温小乐,林靖杰,高永刚..基于多源遥感的森林地上碳储量研究进展[J].福州大学学报（自然科学版）,2025,53(2):144-150,7.基金项目
福建省自然科学基金资助项目(2023J01064) （2023J01064）
