森林地上生物量遥感反演研究进展
收稿日期: 2023-09-13
修回日期: 2023-11-15
网络出版日期: 2024-02-21
Advances in Remote Sensing Retrieval of Forest Aboveground Biomass
Received date: 2023-09-13
Revised date: 2023-11-15
Online published: 2024-02-21
森林地上生物量是反映森林生态系统状况的关键性指标之一,对全球气候变化、以及我国实现碳达峰和碳中和目标具有重要意义。遥感技术快速发展并日益成熟,已成为大区域尺度森林地上生物量反演的主要技术手段。通过系统梳理国内外相关文献资料,从数据源和反演模型两方面对森林地上生物量遥感反演研究进展进行讨论:从数据源角度,阐述分析光学遥感数据、合成孔径雷达数据、激光雷达数据等3种数据源提供的有效信息、优势及局限;从反演模型角度,结合实际应用案例讨论分析多元回归模型、机器学习算法、机理模型等3种模型的特点及适用范围。在总结现阶段利用遥感手段反演森林地上生物量存在问题的基础上,分析探讨未来森林地上生物量遥感反演的方向和热点。
任晓琦 , 侯鹏 , 陈妍 . 森林地上生物量遥感反演研究进展[J]. 林草资源研究, 2023 , 0(6) : 146 -158 . DOI: 10.13466/j.cnki.lczyyj.2023.06.018
Forest aboveground biomass is one of the key indicators to reflect the status of forest ecosystem,which is of great significance to global climate change and China's carbon peak and carbon neutrality.With the rapid development and increasing maturity of remote sensing technology,it has become the main technical means for retrieving above-ground forest biomass in large areas.In this paper,the research progress of remote sensing inversion of forest aboveground biomass was discussed from two aspects through systematic review of relevant literatures at home and abroad.From the perspective of data source,it can be summarized as inversion methods of optical remote sensing data,synthetic aperture radar data and LiDARdata,and the effective information,advantages and limitations provided by each data source are expounded and analyzed.From the perspective of inversion model,it can be summarized as multiple regression model,machine learning algorithm and mechanism model,and the characteristics of different models are discussed and analyzed combined with practical application cases.Finally,this paper summarized the existing problems in the inversion of forest above-ground biomass by remote sensing,and prospected the direction and hotspots of forest above-ground biomass inversion by remote sensing in the future.
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