世界林业研究2025，Vol.38Issue(5)：47-53,7.DOI:10.13348/j.cnki.sjlyyj.2025.0086.y
基于GEE平台的森林碳储量遥感估算研究进展
Research Progress in Remote Sensing Estimation of Forest Carbon Stock Based on GEE Platform
摘要
Abstract
Forests,as the largest carbon pool in terrestrial ecosystems,are of great significance in climate regulation and the achievement of the"dual carbon"goals.Advances in multi-source remote sensing technologies provide a faster and more sufficient way to retrieve the data required for carbon stock assessment.In particular,the Google Earth Engine(GEE)platform,with its extensive archive of satellite imagery and formidable computational capacity,has emerged as a pivotal tool for estimating forest carbon storage.This review synthesizes the research advancements in estimating forest carbon stock using remote sensing data within the GEE platform,and highlights GEE's advantages and practical applications in multi-source remote sensing data integration and advanced modeling algorithms.While acknowledging GEE's significant advantages,the current research still faces challenges regarding data accuracy,model adaptability,and intelligence level.Consequently,this paper suggests future research directions to address these limitations,ultimately aiming to better serve the studies of global carbon cycle and climate change.关键词
谷歌地球引擎/多源遥感/森林碳储量Key words
Google Earth Engine/multi-source remote sensing/forest carbon stock分类
农业科技引用本文复制引用
蔡华诗,舒清态,李正英,何海玲,马绍阳,覃朝关,魏蓉..基于GEE平台的森林碳储量遥感估算研究进展[J].世界林业研究,2025,38(5):47-53,7.基金项目
国家自然科学基金项目"生态脆弱区典型森林生态系统生化参数高光谱遥感反演关键技术研究"(31860205) （31860205）
云南省农业联合专项重点项目"基于深度学习无人机高光谱协同LiDAR数据的云南松松材线虫早期预警研究"(202301BD070001-002). （202301BD070001-002）
