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基于多时多源遥感图像和 BIT 模型的松材线虫病区域识别

IF 3.3 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES
Geocarto International Pub Date : 2024-02-14 DOI:10.1080/10106049.2024.2310117
Degao Wang, Zhangyu Sun, Xinxia Huang, Mingzhong Liu, Qingqing Zheng, Huailiang Zhang, Guanghe Zhang
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引用次数: 0

摘要

松材线虫病（PWN）是一种严重的森林传染性疾病，可迅速杀死树木，危及森林健康。对受这种疾病影响的地区进行检测，可以发现松材线虫病的...
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Pine wood nematode disease area identification based on multi-temporal multi-source remote sensing images and BIT model
Pine wood nematode (PWN) disease is a severe contagious disease in forests which endangers the health of forests, as it can rapidly kill trees. The detection of regions impacted by this disease pla...
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来源期刊
Geocarto International
Geocarto International ENVIRONMENTAL SCIENCES-GEOSCIENCES, MULTIDISCIPLINARY
CiteScore
6.30
自引率
13.20%
发文量
407
审稿时长
>12 weeks
期刊介绍： Geocarto International is a professional academic journal serving the world-wide scientific and user community in the fields of remote sensing, GIS, geoscience and environmental sciences. The journal is designed: to promote multidisciplinary research in and application of remote sensing and GIS in geosciences and environmental sciences; to enhance international exchange of information on new developments and applications in the field of remote sensing and GIS and related disciplines; to foster interest in and understanding of science and applications on remote sensing and GIS technologies; and to encourage the publication of timely papers and research results on remote sensing and GIS applications in geosciences and environmental sciences from the world-wide science community. The journal welcomes contributions on the following: precise, illustrated papers on new developments, technologies and applications of remote sensing; research results in remote sensing, GISciences and related disciplines; Reports on new and innovative applications and projects in these areas; and assessment and evaluation of new remote sensing and GIS equipment, software and hardware.
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