俄罗斯-乌克兰战争的卫星遥感时间序列观测:持续的冲突增加了作物风险

IF 4.7 2区 地球科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Yin Zhang;Qingwu Hu;Shaohua Wang;Pengcheng Zhao;Mingyao Ai
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引用次数: 0

摘要

评估俄乌战争对作物生长的影响,对于制定人道主义援助和粮食安全战略具有重要意义。基于夜间光遥感数据,提出了战争强度夜间光指数(WarINLI)。WarINLI能够定量和准确地评估乌克兰各个州的冲突强度和军事冲突事件。该方法具有较高的通用性和适用性,可支持对战争强度的准确估计。我们基于卫星遥感影像中植被指数的变化来评估作物的生长状况。4项植被指数退化面积均占耕地总面积的73%以上。结合夜间和白天的遥感数据,通过耦合协调度(CCD)模型探讨了俄乌战争对作物生长状况变化的影响。WarINLI变化与4个植被指数变化率之间的CCD均大于0.75,表明俄乌战争恶化了乌克兰的作物生长状况,加剧了乌克兰的作物风险。研究结果可为各国政府制定相应的政策和救济措施,缓解全球粮食安全威胁提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Satellite Remote Sensing Time-Series Observation of Russia–Ukraine War: Ongoing Conflict Increased Crop Risk
Assessing the impact of the Russia–Ukraine war on crop growth is of great significance for the formulation of humanitarian aid and food security strategies. Based on nighttime light remote sensing data, we proposed a war intensity nighttime light index (WarINLI). The WarINLI was able to assess the conflict intensity in various Ukrainian oblasts and military conflict incidents quantitatively and accurately. It has high generalization and applicability to support the accurate estimation of war intensity. We evaluated crop growth status based on changes in vegetation indices derived from satellite remote sensing images. The degradation areas of four vegetation indices all accounted for over 73% of total cultivated land area. Integrating nighttime and daytime RS data, we explored the impacts of Russia–Ukraine war on the change of crop growth status through coupling coordination degree (CCD) model. The CCD between WarINLI variation and change rates of four vegetation indices was all greater than 0.75, which demonstrated that Russia–Ukraine war deteriorated crop growth situation and intensified crop risk in Ukraine. Our study provides a reference for government to initiate policy and supply relief so as to mitigate global food security threat.
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来源期刊
CiteScore
9.30
自引率
10.90%
发文量
563
审稿时长
4.7 months
期刊介绍: The IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing addresses the growing field of applications in Earth observations and remote sensing, and also provides a venue for the rapidly expanding special issues that are being sponsored by the IEEE Geosciences and Remote Sensing Society. The journal draws upon the experience of the highly successful “IEEE Transactions on Geoscience and Remote Sensing” and provide a complementary medium for the wide range of topics in applied earth observations. The ‘Applications’ areas encompasses the societal benefit areas of the Global Earth Observations Systems of Systems (GEOSS) program. Through deliberations over two years, ministers from 50 countries agreed to identify nine areas where Earth observation could positively impact the quality of life and health of their respective countries. Some of these are areas not traditionally addressed in the IEEE context. These include biodiversity, health and climate. Yet it is the skill sets of IEEE members, in areas such as observations, communications, computers, signal processing, standards and ocean engineering, that form the technical underpinnings of GEOSS. Thus, the Journal attracts a broad range of interests that serves both present members in new ways and expands the IEEE visibility into new areas.
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