利用大地遥感卫星和 MODIS 图像,基于自动样本选择和机器学习方法绘制 30 米棉区地图

IF 4.4 1区 地球科学 Q1 REMOTE SENSING Geo-spatial Information Science Pub Date : 2023-11-17 DOI:10.1080/10095020.2023.2275622
Zhuting Tan, Zhengyu Tan, Juhua Luo, Hongtao Duan
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Mapping 30-m cotton areas based on an automatic sample selection and machine learning method using Landsat and MODIS images
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来源期刊
CiteScore
10.10
自引率
28.30%
发文量
710
审稿时长
31 weeks
期刊介绍: Geo-spatial Information Science was founded in 1998 by Wuhan University, and is now published in partnership with Taylor & Francis. The journal publishes high quality research on the application and development of surveying and mapping technology, including photogrammetry, remote sensing, geographical information systems, cartography, engineering surveying, GPS, geodesy, geomatics, geophysics, and other related fields. The journal particularly encourages papers on innovative applications and theories in the fields above, or of an interdisciplinary nature. In addition to serving as a source reference and archive of advancements in these disciplines, Geo-spatial Information Science aims to provide a platform for communication between researchers and professionals concerned with the topics above. The editorial committee of the journal consists of 21 professors and research scientists from different regions and countries, such as America, Germany, Switzerland, Austria, Hong Kong and China.
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