利用多时雷达卫星星座任务紧凑极化合成孔径雷达数据进行作物分类

IF 2 4区地球科学 Q3 REMOTE SENSING

Canadian Journal of Remote Sensing Pub Date : 2024-08-20 DOI:10.1080/07038992.2024.2384883

Ramin Farhadiani, Saeid Homayouni, Avik Bhattacharya, Masoud Mahdianpari

引用次数: 0

摘要

雷达卫星星座任务（RCM）的紧凑型测极仪（CP）数据已成为绘制作物分布图和监测各种农业景观的关键资产。这项研究利用了雷达卫星星座任务（RCM）的独特能力。

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Crop Classification Using Multi-Temporal RADARSAT Constellation Mission Compact Polarimetry SAR Data

The RADARSAT Constellation Mission (RCM) Compact Polarimetry (CP) data has become a key asset in crop mapping and monitoring for diverse agricultural landscapes. This study utilizes the unique capa...

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来源期刊

Canadian Journal of Remote Sensing REMOTE SENSING-

自引率

3.80%

发文量

期刊介绍： Canadian Journal of Remote Sensing / Journal canadien de télédétection is a publication of the Canadian Aeronautics and Space Institute (CASI) and the official journal of the Canadian Remote Sensing Society (CRSS-SCT). Canadian Journal of Remote Sensing provides a forum for the publication of scientific research and review articles. The journal publishes topics including sensor and algorithm development, image processing techniques and advances focused on a wide range of remote sensing applications including, but not restricted to; forestry and agriculture, ecology, hydrology and water resources, oceans and ice, geology, urban, atmosphere, and environmental science. Articles can cover local to global scales and can be directly relevant to the Canadian, or equally important, the international community. The international editorial board provides expertise in a wide range of remote sensing theory and applications.