集成随机森林和形态空间模式分析预测未来地表温度动态:沙特阿拉伯城市化的启示

IF 3.3 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES
Ahmed Ali A. Shohan, Hoang Thi Hang, Ahmed Ali Bindajam, Mohammed J. Alshayeb, Javed Mallick, Hazem Ghassan Abdo
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引用次数: 0

摘要

面对沙特阿拉伯快速的城市化进程,了解景观变化对地表温度(LST)的影响对于可持续城市规划至关重要。本研究评估了沙特的地表温度变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrating random forest and morphological spatial pattern analysis for predicting future land surface temperature dynamics: insights from urbanizing Saudi Arabia
In the face of rapid urbanization in Saudi Arabia, understanding the impact of landscape changes on land surface temperature (LST) is crucial for sustainable urban planning. This study assesses the...
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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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