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
IF 3.3
4区 地球科学
Q2 ENVIRONMENTAL SCIENCES
引用次数: 0
Abstract
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...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
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。
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来源期刊
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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