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Assessment of informative capability of spaced-based hyperspectral system in forest monitoring tasks

机译:基于空间的高光谱系统在森林监测任务中的信息能力评估

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The article presents a model for assessing the information capabilities of multi-, hyperspectral satellite systems for Earthremote sensing in solving forest monitoring problems. The information capabilities of satellite system for Earth remotesensing means the ability to complete assigned tasks in time and quality. Assessment of information capabilities is dividedinto two parts. The first part is an assessment of the operational capabilities of the satellite system, that is, an expected timeto complete the task. The second part is an assessment of solving the problems quality. Assessing of the informationcapabilities of satellite systems for Earth remote sensing allows to determine the appropriateness of including the task ofmonitoring territories (for example, forest monitoring) in the flight task for the satellite system, to develop measures toimprove information capability in solving the tasks. The article also provides informational capability assessment obtainedby the proposed method for the hyperspectral satellite system by NPO «Lepton» and Moscow Institute of Physics andTechnology in solving the problem of classifying the species composition of deciduous and coniferous forest on a giventerritory. Such assessment is valid for similar satellite systems for Earth remote sensing when solving similar problems.
机译:本文提出了一个用于评估地球多光谱,高光谱卫星系统信息能力的模型 遥感解决森林监测问题。远程地球卫星系统的信息能力 传感是指能够按时间和质量完成分配的任务的能力。信息能力评估分为 分为两个部分。第一部分是对卫星系统运行能力的评估,即预期时间 完成任务。第二部分是对解决问题质量的评估。信息评估 卫星系统用于地球遥感的能力可以确定是否包括以下任务: 监视卫星系统飞行任务中的领土(例如,森林监视),以制定措施来 提高解决任务的信息能力。本文还提供了获得的信息能力评估 由NPO«Lepton»和莫斯科物理研究所提出的高光谱卫星系统的建议方法 在给定条件下解决落叶和针叶林物种组成分类问题的技术 领土。当解决类似问题时,这种评估对于类似的用于地球遥感的卫星系统是有效的。

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