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将景观生态学方法纳入基于单一日期图像的农用土地利用绘图机器学习分类中

IF 3.3 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES
Geocarto International Pub Date : 2024-05-22 DOI:10.1080/10106049.2024.2356844
Projo Danoedoro, Prima Widayani, Iswari Nur Hidayati, Candra Sari Djati Kartika, Fitria Alfani
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引用次数: 0

摘要

包含作物轮作信息的土地利用地图在土地管理和实际规划中非常重要。此类地图通常使用多时数据生成。虽然最近的技术已能满足这些需求，但仍有许多问题需要解决。
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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Incorporating landscape ecological approach in machine learning classification for agricultural land-use mapping based on a single date imagery
Land-use maps containing crop rotational information are very important in land management and physical planning. Such maps are usually generated using multitemporal data. Although recent technolog...
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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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