Estimation of the Forest Stand Biomass and Greenhouse Gas Emissions Using Lidar Surveys

R. Sultanova, R. Mustafin
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Abstract

At the research points, the relationship between the Normalized Difference Vegetation and Normalized Green Red Difference indices is characterized by a determination coefficient equal to 0.52. The estimation of the emission of carbon dioxide and nitrogen oxide in the forest air at an altitude of 40 m above the level of the soil cover during the growing season showed differences in their values during the daytime and at night. The results helped determine promising methods of inventory of the carbon landfill forest area for aboveground woody biomass assessment based on data obtained from several sources and land forest estimation research. The research involved: 1) integration of an unmanned aerial vehicle -based digital camera and lidar sensors in order to optimize the efficiency and cost of data collection; 2) taking advantage of high-resolution aerial photographs and sparse lidar point clouds using an information fusion approach and the ability to compensate for their shortcomings.
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利用激光雷达测量估算林分生物量和温室气体排放
在研究点,归一化植被差指数与归一化绿红差指数之间的关系具有决定系数为0.52的特征。对生长季节土壤覆盖层以上40 m高度森林空气中二氧化碳和氮氧化物排放量的估算表明,它们在白天和夜间的数值存在差异。研究结果有助于确定有希望的碳填埋场林地地上木质生物量评估的清查方法,该方法基于多个来源的数据和陆地森林估算研究。研究内容包括:1)基于无人机的数字相机和激光雷达传感器的集成,以优化数据收集的效率和成本;2)利用高分辨率航空照片和稀疏激光雷达点云的信息融合方法及其弥补其不足的能力。
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