A Systematic Review and Assessment of Inverse Crop Parameter Modeling Based on Synthetic Aperture Radar Data: Research advances, existing problems, and future directions

IF 16.2 1区地球科学 Q1 GEOCHEMISTRY & GEOPHYSICS

IEEE Geoscience and Remote Sensing Magazine Pub Date : 2024-09-30 DOI:10.1109/mgrs.2024.3454317

Rongkun Zhao, Shangrong Wu, Yun Shao, Mengdao Xing, Zhiqu Liu, Xuexiao Wu, Hong Cao, Peng Yang, Huajun Tang

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基于合成孔径雷达数据的反作物参数建模系统回顾与评估》：研究进展、现有问题和未来方向

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来源期刊

IEEE Geoscience and Remote Sensing Magazine Computer Science-General Computer Science

CiteScore

20.50

自引率

2.70%

发文量

期刊介绍： The IEEE Geoscience and Remote Sensing Magazine (GRSM) serves as an informative platform, keeping readers abreast of activities within the IEEE GRS Society, its technical committees, and chapters. In addition to updating readers on society-related news, GRSM plays a crucial role in educating and informing its audience through various channels. These include:Technical Papers,International Remote Sensing Activities,Contributions on Education Activities,Industrial and University Profiles,Conference News,Book Reviews,Calendar of Important Events.