通过结合来自夜间灯光数据的新的人类活动因子来模拟森林火灾风险

IF 3.3 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES
Ming Chen, Yongqian Wang, Zhong Zheng, Xingyue You, Yaoqiang Zeng
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引用次数: 0

摘要

火灾是对森林生态系统的严重自然干扰。在此基础上,提出了一个基于人类活动的中国大陆森林火灾风险模型(RF_NTL)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling the forest fire risk by incorporating a new human activity factor from nighttime light data
Fire was a serious natural disturbance to forest ecosystems. In this study, a national-scale forest fire risk model (RF_NTL) was proposed in mainland China by incorporating a new human activity fac...
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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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