摘要
森林作为地球生态系统的关键组成部分,在维护生态平衡、缓解温室效应及保护生物多样性方面发挥着不可替代的作用。森林蓄积量(forest stock volume,FSV)不仅是衡量森林资源总体规模与质量的核心指标,也与森林覆盖面积及覆盖率紧密相关。本文主要论述森林蓄积量估测的概念及其发展历程,系统阐述了森林蓄积量估测过程中使用的遥感技术进展和算法模型创新。基于现有的研究成果,当前研究仍面临开源数据集不足、地面实地测量精度低、标准化建模体系缺失等挑战。未来发展方向应聚焦于多源遥感数据融合建模,建立森林蓄积量预测结果评价标准,为国家森林资源管理与检测提供技术支撑。
As one of the most important parts of the earth′s ecological environment,forests play a central role in maintain-ing the balance of ecology,resisting the greenhouse effect and protecting biodiversity.Forest stock volume is not only an im-portant index reflecting the amount and quality situation of for-est resources in general,but it is also related to the size and coverage of forests.In this paper,we mainly introduce and explain the concept and development of forest stock volume assessment,describe the remote sensing data variables used in forest stock estimation,and introduce some popular algo-rithms and models.Based on the existing research results,the current study still faces challenges such as insufficient open-source datasets,low precision of ground field measure-ments,and lack of standardized modeling system.The future development direction should focus on the fusion modeling of multi-source remote sensing data,establish evaluation stan-dards for forest stock prediction results,and provide technical support for national forest resource management and detec-tion.
作者
许朕义
张永军
龚龑
万一
XU Z henyi;ZHANG Yongjun;GONG Yan;WAN Yi(School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China;Technology Innovation Center for Collaborative Applications of Natural Resources Data in GBA,Ministry of Natural Resources,Guangzhou 510075,China)
出处
《测绘地理信息》
2025年第4期1-14,共14页
Journal of Geomatics
基金
贵州省科技重大专项计划(遥感大数据智能挖掘与应用服务关键技术研究[2022]001)
关键词
森林蓄积量
多源遥感
遥感数据变量
遥感预测模型
标准化建模
forest stock volume
multi-source remote sens-ing
remote sensing data variables
remote sensing predictive models
standardized modeling
