NEC和东京大学利用卫星和地面数据准确地绘制了马来西亚的森林碳分布图,使区域碳信用额和气候行动得以改善。 NEC and Tokyo University accurately mapped Malaysia’s forest carbon using satellite and ground data, enabling better regional carbon credits and climate action.

NEC和东京大学使用VISIT生态系统模型和NEC的数据同化技术计算马来西亚兰比尔山国家公园的碳积累,每日误差幅度为9.4%。 NEC and the University of Tokyo used the VISIT ecosystem model and NEC’s data assimilation technology to calculate carbon accumulation in Malaysia’s Lambir Hills National Park with a 9.4% daily margin of error. 该系统整合了卫星超光谱数据和现实世界观测,以提高准确性,为监测森林碳提供了比基于欧洲和北美数据的模型更可靠的方法。 The system integrates satellite hyperspectral data and real-world observations to improve accuracy, offering a more reliable method for monitoring forest carbon than models based on European and North American data. 该办法支持在东南亚开发具体区域的碳信用额度,并推进自然资本核算,同时计划将其扩大用于可持续森林管理和气候行动。 The approach supports the development of region-specific carbon credits in Southeast Asia and advances natural capital accounting, with plans to expand its use for sustainable forest management and climate action.