We estimate the seasonal impact in the ice velocity of the entire South Patagonian Icefield (SPI), the velocity mosaics from 2016 (Winter/Autumn), 2017(Summer/Spring) and 2018(Summer/Spring) were combined to obtain acceleration and deceleration maps. Additionally, a more detailed study was made for seven glaciers in particular, the freshwater Upsala, Viedma, Moreno, O’Higgins and the tidal influenced Pio XI, Jorge Montt, Amalia.

Long-range wide-area network (LoRaWAN) technology can be a good candidate for industrial applications in the Internet of Things and adaptive data rate (ADR) algorithms help to improve LoRaWAN performance. These algorithms compute a link budget to define the data rate and the transmission power. However, the performance of these algorithms must be evaluated in industrial environments that pose challenging conditions to wireless communications due to obstacles, interference, and movement. Therefore, this article compares the performance of LoRaWAN with six different ADR algorithms using a realistic propagation model from an industrial environment. This research uses the framework for LoRa (FLoRa) environment in objective modular network testbed in C++ (Omnet++) to compare the packet delivery ratio and energy consumption with different gateway locations and data traffic. Results show that the algorithms that decrease the link budget in poor channel conditions have better performance in industrial scenarios. Furthermore, overestimating the channel behavior decreases packet delivery.

The present work is oriented to analyze the backscattering signal generated by the X-band, when it is interacting with sea ice, located in the vicinity of Fildes Bay, King George Island (Southland Shetland Islands), from Antarctic. Radar images captured by TerraSAR-X satellite StripMap mode were used, whose emitted signal was polarized in Dual mode (HH-VV). The images were processed using the software Polsar-Pro, with the objective of establishing Polarimetric Decomposition and Shannon Entropy, in order to determine the predominant mechanisms of dispersion and to corroborate with information obtained in situ. The results demonstrated that both techniques are complementary and individually allow detecting and characterizing the presence of sea ice in this Antarctic zone.