![]() Whole-rock major, trace element distribution and Sr-Nd isotopic signature (⁸⁷Sr/⁸⁶Sri = 0.7045–0.7050 ¹⁴³Nd/¹⁴⁴Ndi = 0.51223–0.51228) show that the rocks from Cima Pape are SiO2-saturated and have shoshonitic affinity, and likely belong to the acme of the Mid-Triassic magmatism that shaped the Southern Alps between 239 and 237.6 Ma. In this study, a detailed textural and compositional study of clinopyroxene crystals entrained in intrusive, hypabyssal and effusive products from Cima Pape (Dolomites) is coupled with thermobarometric-hygrometric models to reconstruct the geometry and evolution of the feeding system beneath Middle Triassic volcanic edifices. The analyses show that both methods produce similar results, whereby the achieved accuracy values vary between the study areas.Ĭrystal zoning plays a fundamental role in modern volcanology as a key to unravel the geometry and the dynamics of plumbing systems. A detailed evaluation of the mapping results per study area and sensor is performed by a number of spatial accuracy metrics, and the advantages and disadvantages of the two approaches for landslide mapping on optical EO data are discussed. In this paper we apply OBIA for detecting and delineating landslides in five selected study areas in Austria and Italy using optical Earth Observation (EO) data from different sensors (Landsat 7, SPOT-5, WorldView-2/3, and Sentinel-2) and compare the OBIA mapping results to outcomes from visual image interpretation. The major question therefore is if semi-automated methods such as OBIA can achieve results of comparable quality in contrast to visual image interpretation. For accurately identifying and mapping landslides, however, visual image interpretation is still the most widely used method. OBIA shows various advantages over traditional image analysis methods due to its potential for considering various properties of segmentation-derived image objects (spectral, spatial, contextual, and textural) for classification. Object-based image analysis (OBIA) has been increasingly used to map geohazards such as landslides on optical satellite images. ![]()
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March 2023
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