无人机遥感技术在竹林碳储量监测中的应用与展望

Application and Prospect of Unmanned Aerial Vehicle Remote Sensing Technology in Monitoring Carbon Storage in Bamboo Forests

竹林作为一种重要的碳汇植被,具有生长迅速、碳固定效率高等优势,对减缓气候变化和碳排放具有重要意义。传统的竹林碳储量监测方法往往依赖地面调查,劳动强度大、效率低、范围有限,难以满足大面积、实时动态监测的需求。近年来,无人机遥感技术凭借其高效、灵活、覆盖广和成本较低的优势,逐渐在林业监测中得到广泛应用。基于此,综述了无人机遥感技术在林业监测中的最新应用进展,分析了不同类型传感器(如多光谱、超光谱、激光雷达等)在获取生物量、碳密度和碳储量信息方面的优劣,探讨了基于遥感数据和机器学习模型的竹林碳储量估算方法。结果表明:无人机遥感技术对于准确估算竹林碳储量具有巨大潜力和应用前景。研究还展望了无人机遥感技术在竹林碳储量监测中的未来发展方向,指出将无人机与地面观测、卫星遥感数据结合,构建多尺度、多源的数据融合方法,有望进一步提高竹林碳储量监测的精度和可靠性。同时,随着人工智能和大数据技术的进步,无人机遥感在竹林碳储量监测中的自动化和智能化应用将不断拓展,为实现精准碳管理和生态保护提供有力支撑。

With the increasingly severe global climate change problem,forest carbon stock monitoring,as an important means of carbon sink assessment and ecological protection,has received more and more attention.Bamboo forest,as an important carbon sink vegetation,has the advantages of rapid growth and high carbon fixation efficiency,which is of great significance for mitigating climate change and carbon emissions.Traditional methods for monitoring carbon storage in bamboo forests often rely on ground surveys,which are labor-intensive,inefficient,and limited in scope,making it difficult to meet the needs of large-scale and real-time dynamic monitoring.In recent years,unmanned aerial vehicle remote sensing technology has gradually been widely applied in forestry monitoring due to its advantages of high efficiency,flexibility,wide coverage,and low cost.However,its application in the field of bamboo forests is still rare.Therefore,this study reviews the latest application progress of unmanned aerial vehicle remote sensing technology in forestry monitoring,analyzes the advantages and disadvantages of different types of sensors(such as multispectral,hyperspectral,LiDAR,etc.)in obtaining biomass,carbon density,and carbon storage information,and explores the estimation method of bamboo forest carbon storage based on remote sensing data and machine learning models.The results indicate that unmanned aerial vehicle remote sensing technology has great potential and application prospects for accurately estimating carbon storage in bamboo forests.The study also looked forward to the future development direction of unmanned aerial vehicle remote sensing technology in monitoring bamboo forest carbon storage,pointing out that combining unmanned aerial vehicles with ground observation and satellite remote sensing data to construct a multi-scale and multi-source data fusion method is expected to further improve the accuracy and reliability of bamboo forest carbon storage monitoring.Meanwhile,with the advancement of artificial intelligence and big data technology,the automation and intelligent application of unmanned aerial vehicle remote sensing in monitoring bamboo forest carbon storage will continue to expand,providing strong support for achieving precise carbon management and ecological protection.