自然资源遥感2025，Vol.37Issue(2)：220-227,8.DOI:10.6046/zrzyyg.2023368
基于GEE平台多源遥感数据的海南岛红树林碳储量估算
Estimating the carbon stocks of mangrove forests in Hainan Island based on multisource remote sensing data and Google Earth Engine
摘要
Abstract
The change in carbon stocks is recognized as an important indicator of the carbon pool function.The effective,accurate assessment of carbon stocks is of great significance for research on regional carbon cycle and carbon source/sink dynamics,climate change mitigation,and regional sustainable development.Based on multi-time series remote sensing images(Sentinel-1 and Sentinel-2)and the Google Earth Engine(GEE)cloud computing platform,this study matched the photon point data of ICESat-2-derived vegetation canopy for the inversion of mangrove forest heights.Then,the inversion of the biomass of mangrove forests was conducted using a large-scale tree height-biomass model.Consequently,the heights,above-ground biomass,and carbon stocks of mangrove forests in Hainan Island were obtained,and their distribution and variations were further analyzed.The results indicate that in 2016,2019,and 2022,mangrove forests in Hainan Island exhibited average heights of 6.99 m,7.26 m,and 7.71 m,respectively,with an increasing trend observed in the highlights across all regions in the three years.Their total above-ground biomass was 400 939.48 t,411 928.64 t,and 458 759.02 t,respectively,with average densities of 110.23 t/hm2,114.61 t/hm2,and 120.02 t/hm2,respectively.The above-ground biomass of Dongzhai Port and the Bamenwan area,both located in the northeastern part of Hainan,accounted for about 80％of the total.The carbon stocks of mangrove forests exhibited rates of increase ranging from 1％to 4.45％over the three years,with the top two growth rates occurring in Dongzhai Port and the Bamenwan area,respectively(4.45％and 3.17％).The results of this study can provide foundational data and a methodological reference for assessing carbon stocks of large-scale mangrove forests and serve as important parameters for mangrove forest management and protection in Hainan Island,holding THE value of widespread applications.关键词
红树林/碳储量/生物量/Google Earth Engine/海南岛Key words
mangrove forest/carbon stock/biomass/Google Earth Engine/Hainan Island分类
信息技术与安全科学引用本文复制引用
李尉尉,薛志泳,朱建华,田震..基于GEE平台多源遥感数据的海南岛红树林碳储量估算[J].自然资源遥感,2025,37(2):220-227,8.基金项目
海南省重点研发计划资助项目"南海珊瑚礁空天地海一体化监测关键技术研究与应用示范"(编号:ZDYF2023GXJS023)资助. （编号:ZDYF2023GXJS023）
