基于高光谱和分数阶差法估算樟树叶片的叶绿素含量

IF 3 3区地球科学 Q2 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

International Journal of Remote Sensing Pub Date : 2024-07-11 DOI:10.1080/01431161.2024.2372064

Baocheng Yang, Haina Zhang, Xianghui Lu, Yue Zhang, Haolong Wan, Xin Luo, Jie Zhang

引用次数: 0

摘要

高光谱遥感与数据预处理技术和机器学习算法相结合，是高效估算植物SPAD的一种新方法。在这项研究中，原始的高光谱折射率与植物的SPAD...

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Estimation of chlorophyll content of Cinnamomum camphora leaves based on hyperspectral and fractional order differentiation

Hyperspectral remote sensing combined with data preprocessing techniques and machine learning algorithms is a new way to efficiently estimate plant SPAD. In this study, the raw hyperspectral reflec...

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来源期刊

International Journal of Remote Sensing 工程技术-成像科学与照相技术

CiteScore

7.00

自引率

5.90%

发文量

219

审稿时长

4.8 months

期刊介绍： The International Journal of Remote Sensing ( IJRS) is concerned with the theory, science and technology of remote sensing and novel applications of remotely sensed data. The journal’s focus includes remote sensing of the atmosphere, biosphere, cryosphere and the terrestrial earth, as well as human modifications to the earth system. Principal topics include: • Remotely sensed data collection, analysis, interpretation and display. • Surveying from space, air, water and ground platforms. • Imaging and related sensors. • Image processing. • Use of remotely sensed data. • Economic surveys and cost-benefit analyses. • Drones Section: Remote sensing with unmanned aerial systems (UASs, also known as unmanned aerial vehicles (UAVs), or drones).