基于遥感的红树林地上生物量估算研究进展  

Research Advances in Estimating Aboveground Biomass of Mangroves Based on Remote Sensing

作　　者：李尉尉[1] 朱建华[1] 赵文璇 田震 LI Weiwei;ZHU Jianhua;ZHAO Wenxuan;TIAN Zhen(National Ocean Technology Center,Tianjin 300112,China)

机构地区：[1]国家海洋技术中心,天津300112

出　　处：《海洋技术学报》2023年第5期1-9,共9页Journal of Ocean Technology

基　　金：海南省重点研发计划资助项目(ZDYF2023GXJS023)。

摘　　要：红树林生态系统地上生物量是碳储量评估和气候变化研究必需的基础数据之一,其估算方法是蓝碳研究的热点。遥感以其宏观、综合、动态、快速、可重复等特点,已成为红树林地上生物量估算的主要技术手段。本文综合国内外相关研究进展,分析了光学遥感、微波雷达、激光雷达(Light Detection and Ranging,LiDAR)数据源在红树林生物量估算的应用现状,以及多源遥感数据融合应用的优势;总结了基于遥感的统计模型、过程模型和间接法3种生物量估算方法的研究现状;从多源遥感数据的融合、发展机器学习算法和遥感过程模型、长时序分析,以及建立红树林地面调查数据集等角度对红树林生物量遥感估算进行展望。The aboveground biomass of mangrove ecosystem is one of the necessary basic data for carbon storage assessment and climate change research,and its estimation method is a hotspot of blue carbon research.Remote sensing has become the main technical means for estimating the aboveground biomass of mangroves due to its macroscopic,comprehensive,dynamic,fast,and repeatable characteristics.This article summarizes the relevant research progress at home and abroad,analyzes the current application status of optical remote sensing,microwave radar,and LiDAR data sources in mangrove biomass estimation,as well as the advantages of multi-source remote sensing data fusion applications;Summarized the research status of three biomass estimation methods based on remote sensing:statistical models,process models,and indirect methods;From the perspectives of multi-source remote sensing data fusion,development of machine learning algorithms and remote sensing process models,long-term time series analysis,and establishment of mangrove ground survey datasets,this paper looks forward to the remote sensing estimation of mangrove biomass.

关 键 词：红树林 地上生物量 光学遥感 微波雷达 LIDAR 估算模型 

分 类 号：S718.5[农业科学—林学]