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利用谷歌地球引擎中的叠加集合机器学习模型的时间转移，绘制哨兵-2 和 Landsat-8/9 遥感数据中的种植强度图

IF 3.3 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES
Geocarto International Pub Date : 2024-08-06 DOI:10.1080/10106049.2024.2387786
Marziyeh Majnoun Hosseini, Mohammad Javad Valadan Zoej, Alireza Taheri Dehkordi, Ebrahim Ghaderpour
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引用次数: 0

摘要

本文旨在利用谷歌地球引擎以及哨兵-2 和大地遥感卫星-8/9 的月度合成数据绘制伊朗西南部地区的种植密度模式图（CIPs）。利用谷歌地球引擎和圣天诺-2 号卫星及 Landsat-8/9 号卫星数据的月度复合图绘制伊朗西南地区的种植密度模式图。
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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Cropping intensity mapping in Sentinel-2 and Landsat-8/9 remote sensing data using temporal transfer of a stacked ensemble machine learning model within google earth engine
This article aimed to map Cropping Intensity Patterns (CIPs) in the southwest region of Iran using Google Earth Engine and monthly composites of Sentinel-2 and Landsat-8/9 data. To detect CIPs with...
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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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