Examining satellite images market stability using the Records theory: Evidence from French spatial data infrastructures

IF 1.8 Q2 GEOGRAPHY
C. Jabbour, Anis Hoayek, P. Maurel, Zaher Khraibani, L. Ghalayini
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引用次数: 1

Abstract

: The spatial data infrastructures (SDIs) which constitute a direct link between spatial data users and the large Earth observation industry, have a leading role in establishing market opportunities in the space sector. The spatial information supplied through various forms of SDI platforms exhibits large increases in demand volatility. The users’ demand is unpredictable and the market is vulnerable to high evolution shifts. We study the effect of extreme demands for a particular type of spatial information, the satellite images. Drawing on two French SDIs, GEOSUD and PEPS, we examine the shifts occurring on their platforms and assess the probability of witnessing a spike/drop in the short term of different satellite imagery schemes: the high resolution images through GEOSUD; the Landsat (U.S.), Sentinel (Europe) and SPOT (France) images through PEPS. We analyze the market stability through the two SDIs and evaluate the probability of future records by using the Records theory. The results show that the high resolution images demand through GEOSUD, for which the classical i.i.d. model fits the most, is stable. Moreover, the Yang-Nevzorov model fits to the Landsat data, due to more records concentrated beyond the first observations. The Landsat demand is the less stable out of the other three satellite images series, and the probability of having a record in the coming years is the highest. While the use of Records theory drops mathematical constraints, it offers an alternative solution to the non-applicability of the machine learning techniques and long-term memory models.
使用记录理论检验卫星图像市场稳定性:来自法国空间数据基础设施的证据
:空间数据基础设施是空间数据用户与大型地球观测行业之间的直接联系,在创造空间部门的市场机会方面发挥着主导作用。通过各种形式的SDI平台提供的空间信息显示出需求波动性的大幅增加。用户的需求是不可预测的,市场很容易受到高度演变的影响。我们研究了对卫星图像这种特殊类型的空间信息的极端需求的影响。利用法国的两个SDI,GEOSUD和PEPS,我们检查了其平台上发生的变化,并评估了不同卫星图像方案在短期内出现峰值/下降的可能性:通过GEOSUD的高分辨率图像;通过PEPS获得陆地卫星(美国)、哨兵(欧洲)和SPOT(法国)的图像。我们通过两个SDI来分析市场稳定性,并使用记录理论来评估未来记录的概率。结果表明,GEOSUD对高分辨率图像的需求是稳定的,其中经典的i.i.d.模型最适合。此外,由于更多的记录集中在第一次观测之外,Yang-Nevzorov模型适用于陆地卫星数据。陆地卫星的需求在其他三个卫星图像系列中不太稳定,在未来几年创纪录的可能性最高。虽然记录理论的使用减少了数学约束,但它为机器学习技术和长期记忆模型的不适用性提供了另一种解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.10
自引率
0.00%
发文量
5
审稿时长
9 weeks
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