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利用遥感数据识别咖啡农林系统：方法和传感器数据综述

IF 3.3 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES
Geocarto International Pub Date : 2024-01-18 DOI:10.1080/10106049.2023.2297555
Agustín Escobar-López, Miguel Ángel Castillo-Santiago, Jean F. Mas, José Luis Hernández-Stefanoni, Jorge Omar López-Martínez
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引用次数: 0

摘要

咖啡是最重要的农产品之一。农林业系统（AFS）越来越多地用于咖啡种植，因为它具有环境效益、系统适应性强、可持续发展等优点。
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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Identification of coffee agroforestry systems using remote sensing data: a review of methods and sensor data
Coffee is one of the most important agricultural commodities. Agroforestry systems (AFS) are increasingly used in coffee cultivation because of environmental benefits, adaptability of the systems, ...
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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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