综合使用Sentinel-1和Sentinel-2数据和开源机器学习算法,用于烧伤和未烧伤疤痕

IF 4.5 3区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Geomatics Natural Hazards & Risk Pub Date : 2023-03-21 DOI:10.1080/19475705.2023.2190856
A. Tariq, Y. Jiango, Linlin Lu, Ahsan Jamil, I. Al-ashkar, Muhammad Kamran, Ayman El Sabagh
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Integrated use of Sentinel-1 and Sentinel-2 data and open-source machine learning algorithms for burnt and unburnt scars
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来源期刊
Geomatics Natural Hazards & Risk
Geomatics Natural Hazards & Risk GEOSCIENCES, MULTIDISCIPLINARY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
7.70
自引率
4.80%
发文量
117
审稿时长
>12 weeks
期刊介绍: The aim of Geomatics, Natural Hazards and Risk is to address new concepts, approaches and case studies using geospatial and remote sensing techniques to study monitoring, mapping, risk mitigation, risk vulnerability and early warning of natural hazards. Geomatics, Natural Hazards and Risk covers the following topics: - Remote sensing techniques - Natural hazards associated with land, ocean, atmosphere, land-ocean-atmosphere coupling and climate change - Emerging problems related to multi-hazard risk assessment, multi-vulnerability risk assessment, risk quantification and the economic aspects of hazards. - Results of findings on major natural hazards
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