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现场和空中超光谱数据用于检测密集森林景观中的农业活动

C B Rajesh¹, C V S S Manohar Kumar², Sudhanshu Shekhar Jha³

¹Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore 641112, India.

|September 4, 2023

概括

这项研究引入了热带森林高分辨率超光谱图像的新数据集. 这些数据有助于开发先进的遥感方法,以检测人类影响和监测森林健康.

科学领域:

环境科学环境科学
遥感遥感遥感遥感
林业林业林业林业林业

背景情况:

热带森林是重要的生物群,由于不受管制的旅游业和转移式耕作等人类活动而面临退化.
森林中的人类息地表明活动加快了森林质量恶化,影响了面积和树种组成.
远程传感对于森林绘图和描述至关重要,但检测小规模的人类影响需要先进的子像素分析.

研究的目的:

来自热带森林生态系统的高分辨率超光谱图像和地面真相光谱的独特数据集.
支持开发森林和栽培植被新歧视模式的研究.
推进用于评估人类活动和森林干扰的子像素目标检测方法.

主要方法:

利用高分辨率的超光谱图像和相关的地面真相光谱测量.
专注于分像素级遥感数据分析,特别是光谱混合物建模.
收集热带森林生态系统的数据,包括各种蔬菜作物.

主要成果:

该数据集为热带森林中的各种土地覆盖类型提供了有价值的光谱信息.
能够评估用于检测小规模人为影响的方法.
促进先进遥感技术的开发和验证.

结论:

提出的数据集解决了研究森林干扰的高分辨率超谱数据的短缺问题.
它对于推进环境监测的遥感中子像素分析技术至关重要.
这些数据将有助于为森林管理和保护工作创建更准确的模型.

关键词:

超光谱遥感是一种超光谱遥感技术.混合物建模混合物建模频谱的签名频谱的签名频谱不混合是指光谱不混合.光谱辐射计的光谱辐射计.目标检测目标检测

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