## 5 Conclusions  
The worldwide renowned Perito Moreno glacier is a paradigmatic one to assess stability of Patagonian ice bodies under climate change. However, meteorological information is sporadic, and especially ice dynamics (flow and ablation) are very little explored, given complex local conditions, preventing in situ investigation. PMG displayed anomalous glaciological behavior, because its front position did not significantly vary for many years. Periodically, its front moves forward (by about 100 m) to reach the _Peninsila de Magallanes_, damming the _Lago Argentino_ with subsequent ice fall [23], a phenomenon followed worldwide. This normally happens in the austral summer during March, after lifting of the water level in _Brazo Rico_ by +10 m or more, and it is supposed that changes in such dynamics may be in response to the locally modified climate. Accordingly, one way to investigate changes in the PMG dynamics is to observe flow (velocity/calving) dynamics using remote sensing. We used the most recent and remote sensing tools with the finest resolution, namely LANDSAT7-8 and SENTINEL2, which we processed using ImGRAFT _Templatematch_, an open source tool, to obtain recent (2001-2017) and especially current (until 2016-2017, unmapped hitherto), and finest scale (10 m from 2016 to 2017) PMG flow velocity and calving rate. The highest altitude accumulation area of PMG is often cloud covered, and the ice surface is mostly smooth due to snow cover, making velocity assessment based upon feature pattern recognition complex therein. We could obtain best results here, originally using couples of images from SENTINEL2, somewhat confirming the fitness of this satellite constellation for ice flow tracking [25; 26]. A comparison with ice velocity measurements on the ground [27] reveals acceptable accuracy of the method, especially when using fine resolution (\(\leq\)15 m) satellites, and comparison with recent satellite mapping exercises [22] further gives ground to our results. Seasonal dependence of flow velocity (i.e., the warmer the faster) is also confirmed, albeit requiring further investigation. Overall, we could gather that calving rate is possibly better estimated by focusing upon the PMG front, rather than on upstream areas, given uncertainty coming from poorly known ablation rates en route to the front. Eventually, our results, in comparison with recent literature, seemingly indicate the present constant dynamics of the PMG in terms of flow velocity and calving because no clearly faster or lower _Vs_ or _CR_ could be highlighted recently. However here, some uncertainty remains, which has the potential to hide possible present (or future) changes. We found, as reported, more events of damming than normally expected (i.e., four events from 2013 to 2017), which may be worthy of further investigation. Eventually, our preliminary exploration here demonstrates that SENTINEL2 and LANDSAT8, maybe interpreted using ImGRAFT _TemplateMatch_ as we did here or similar methods, could be used henceforward to monitor PMG glacier dynamics on the whole glacier body, but especially focusing on the calving front. Finer resolution (e.g., local, UAV based) images may help refining glacier's flow analysis at smaller spatial scales than here. In March 2017, we acquired drone-based images, covering a small patch on the South ablation tongue of PMG, to assess flow velocity, with spatial resolution in the order of few centimeters. Preliminary analysis therein indicated components of flow velocity towards glacier's (Southern) edge, i.e., a predominant crosswise flow direction nearby the glacier's borders. Such components cannot be highlighted using satellite images, which suggests that fine scale measurements of ice flow velocity/direction are valuable, whenever one wants to gather a clearer understanding of PMG's (as of any other glaciers') dynamics.