Fire is a concern for the sustainability of dry forests such as those of the Mediterranean region, especially under warming climate and high human use. We used data derived from Landsat and MODIS sensors to assess forest changes in the Talassemtane National Park (TNP) in North Africa from 2003–2018. The Talassemtane National Park is a protected area in northern Morocco, a biodiverse, mountainous region with endemic species of concern such as the Moroccan fir (Abies marocana) and Barbary macaque (Macaca sylvanus). To help the managers of the TNP better understand how the forest has been impacted by fire vs. other disturbances, we combined information from remotely derived datasets. The Hansen Global Forest Change (GFC) data are a global resource providing annual forest change, but without specifying the causes of change. We compared the GFC data to MODIS wildfire data from Andela’s Global Fire Atlas (GFA), a new global tool to identify fire locations and progression. We also analyzed surface reflectance-corrected Landsat imagery to calculate fire severity and vegetation death using Relative Differenced Normalized Burn Ratio analysis (RdNBR). In the park, GFC data showed a net loss of 1695 ha over 16 years, corresponding to an approximately 0.3% annual loss of forest. The GFA identified nine large fires that covered 4440 ha in the study period, coinciding with 833 ha of forest loss in the same period. Within these fires, detailed image analysis showed that GFA fire boundaries were approximately correct, providing the first quantitative test of GFA accuracy outside North America. High-severity fire, as determined by RdNBR analysis, made up about 32% of burned area. Overall, the GFA was validated as a useful management tool with only one non-detected wildfire in the study period; wildfires were linked to approximately 49% of the forest loss. This information helps managers develop conservation strategies based on reliable data about forest threats.

Abstract. Currently there is a huge amount of freely available hydrographic data, and it is increasingly important to have easy access to it and to be provided with as much information as possible. Argo is a global collection of around 4000 active autonomous hydrographic profilers. Argo data go through two quality processes, real time and delayed mode. This work shows a methodology to filter profiles within a given polygon using the odd–even algorithm; this allows analysis of a study area, regardless of size, shape or location. The aim is to offer two filtering methods and to discard only the real-time quality control data that present salinity drifts. This takes advantage of the largest possible amount of valid data within a given polygon. In the study area selected as an example, it was possible to recover around 80 % in the case of the first filter that uses cluster analysis and 30 % in the case of the second, which discards profilers with salinity drifts, of the total real-time quality control data that are usually discarded by the users due to problems such as salinity drifts. This allows users to use any of the filters or a combination of both to have a greater amount of data within the study area of their interest in a matter of minutes, rather than waiting for the delayed-mode quality control that takes up to 12 months to be completed. This methodology has been tested for its replicability in five selected areas around the world and has obtained good results.

Abstract. Currently there is a huge amount of freely available hydrographic data and it is increasingly important to have access to it efficiently and easily provided with as much information as possible. Argo is a global collection of around 4000 active autonomous hydrographic profilers. Argo data goes through two quality processes, real time and delayed mode. This work shows a methodology to filter profiles within a given polygon using the odd-even algorithm, this allows analysis of a study area, regardless of size, shape or location. Also, gives two filtering methods to discard only the real time quality control data that present salinity drifts, thus taking advantage of the largest possible amount of valid data within a given polygon. In the study area selected as an example, it was possible to recover around 80 % in the case of the first filter and 30 % in the case of the second of the total real time quality control data that are usually discarded due to problems such as salinity drifts, this allows researchers to use any of the filters or a combination of both to have a greater amount of data within the study area of their interest in a matter of minutes, unlike waiting for the delayed mode quality control that takes up to 12 months to be completed.

El Congreso Internacional de Robótica y Computación (CIRC) es un evento anual que realiza el Instituto Tecnológico de La Paz (ITLP), en La Paz y Los Cabos, Baja California Sur, desde el año 2013. El congreso es organizado por los integrantes de la Maestría en Sistemas Computacionales del ITLP, la cual que pertenece al Programa Nacional de Posgrados de Calidad (PNPC), como un foro de alta calidad y nivel técnico para intercambiar ideas y discutir desarrollos recientes en Robótica y Computación. En esta novena edición será la primera vez que una selección de trabajos sea publicada en la revista indizada Pädi, gracias a la amable invitación del Dr. Raúl Villafuerte Segura --Editor en Jefe de esta revista-- y su valioso equipo de trabajo.La revista Pädi es de acceso abierto, gracias al apoyo de la Universidad Autónoma del Estado de Hidalgo (UAEH), y se ha posicionado como una excelente opción para publicar trabajos innovadores y del interés de la comunidad científica en diferentes campos de la ciencia. Con respecto a los artículos presentados en el CIRC 2022, del 11 al 13 de mayo, luego de un proceso de revisión arbitrado por un comité editorial, se seleccionaron un total de veintisiete artículos para el presente número especial, los cuales abordaron los siguientes tópicos: Visión artificial. Técnicas heurísticas. Sistemas de control. Procesamiento de señales. Reconocimiento de patrones. Mecatrónica. Ingeniería de software.     La colaboración entre ambas instituciones, el ITLP y la UAEH, ha sido exitoso y prueba de ello es la publicación del presente número especial. Sin lugar a dudas, éste será el primer paso para continuar trabajando en futuros números especiales.