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

The spatial data infrastructures (SDIs) which constitute a direct link between users and the large Earth observation industry, have leading role in establishing market opportunities space sector. information supplied through various forms of SDI platforms exhibits increases demand volatility. users' is unpredictable vulnerable to high evolution shifts. We study effect extreme demands for particular type information, satellite images. Drawing on two French SDIs, GEOSUD PEPS, we examine shifts occurring their assess probability witnessing spike/drop short term different imagery schemes: resolution images GEOSUD; Landsat (U.S.), Sentinel (Europe) SPOT (France) PEPS. analyze stability SDIs evaluate future records by using Records theory. results show that GEOSUD, classical i.i.d. model fits most, stable. Moreover, Yang-Nevzorov data, due more concentrated beyond first observations. less stable out other three series, having record coming years highest. While use theory drops mathematical constraints, it offers an alternative solution non-applicability machine learning techniques long-term memory models.