![]() To model the imaging geometry and the scanning motion of the panoramic KH-4 cameras, a rigorous camera model consisting of modified collinearity equations with time dependent exterior orientation parameters is employed. CoSP utlizes a deep learning based feature matcher SuperGlue to automatically match features point between Corona KH-4 images and recent satellite imagery to generate Ground Control Points (GCPs). This paper presents Corona Stereo Pipeline (CoSP): A pipeline for processing of Corona KH-4 stereo panoramic imagery. The potential of 800,000+ declassified Corona images has not been leveraged due to the complexities arising from handling of panoramic imaging geometry, film distortions and limited availability of the metadata required for georeferencing of the Corona imagery. The Corona KH-4 reconnaissance satellite missions from 1962-1972 acquired panoramic stereo imagery with high spatial resolution of 1.8-7.5 m. We demonstrate the feasibility of applying common rules to implement kinematic attributes within inventories at a global scale, despite the various regions and intensive manual effort. This is the first internationally coordinated effort of rock glacier inventories. The analyzes conducted on the method and on the preliminary results show small irregularities related to the detection capacity of interferometry and to lack of rock glaciers without detectable movements in some regions investigated. More than 5,000 slope movements and more than 3,600 rock glaciers are classified according to their kinematics. Satellite interferometry is used to characterize identifiable areas with slope movements related to rock glaciers subsequently, these areas are used to assign kinematic information to rock glaciers in existing or newly compiled inventories. Here, we test the feasibility of applying common rules proposed by the Action Group in eleven regions worldwide. In this context, the IPA Action Group on rock glacier inventories and kinematics (2018–2023), with the support of the ESA Permafrost_CCI project, is promoting the definition of standard guidelines for the inclusion of kinematic information within inventories. ![]() Inventories of rock glaciers have been produced for decades worldwide, often without an assessment of their kinematics the availability of remote sensing data makes the inclusion of kinematic information potentially feasible, but the absence of a common methodology makes it challenging to create homogeneous inventories. ![]() The dependence of rock glaciers on permafrost and thus their sensitivity to climatic parameters makes the spatial distribution of these landforms very important for hydrological and climate changes reasons. Hence, these complexes, and especially the glacier‐affected parts, should be considered when assessing the hydrological impacts of climate change. Overall, the ice content is decreasing from the upper to the lower part of the ice‐debris complexes. The fronts of most rock glacier parts are active and elevation gains at the fronts indicate slight advances. GPR data indicated less ice content and slanting layers which coincide with the ridges and furrows and can be interpreted as push moraines formed by glacier advances under permafrost conditions. They show stable surface elevations with no or only very low surface movement. These rock glaciers could be remnants of debris‐covered ice located in permafrost conditions. The periglacial parts are characterised by complex rock glaciers of different ages. These parts showed significant surface lowering, in some places exceeding 20 m between 19. Ground penetrating radar (GPR) measurements reveal high ice content with the occurrence of massif debris‐covered dead‐ice bodies in the parts within the Little Ice Age glacier extent. Most of the complexes are located south‐east of the main ridge of Ak‐Shiirak. Overall, we found 74 ice‐debris complexes covering an area of 11.2 km² (3.2% of the glacier coverage) with a mean elevation of about 3950 m asl. Here, we present an inventory of the ice‐debris complexes for the Ak‐Shiirak, Tien Shan's second largest glacierised massif, and a holistic methodology to investigate two characteristic and large ice‐debris complexes in detail based on field investigations and remote sensing analysis using Sentinel‐1 SAR data, 1964 Corona and recent high resolution stereo images. These features contain a significant amount of ice but their occurrence and evolution are not well known. Rock glaciers and large ice‐debris complexes are common in many mountain ranges and are especially prominent in semi‐arid mountains such as the Andes or the Tien Shan.
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