 Hi, my name is Natalia Morandera and this talk is called Obtaining Reproducible Reports on Satellite Hospital Data During a Wildfire Disaster. First, some background on the environmental topic. More than 20% of South America is covered by wetlands, such as the large floodplain wetlands of the Amazonas, the Orinoco and the Paraná River. In 2020, the Paraná River floodplain was extremely dry and extended fires affected at least 300,000 hectares in the Paraná River Delta in Argentina. To monitor wildfires, satellite thermal hotpots can be used. The physical background behind this data is that Earth's emissivity in the thermal infrared can be related to surface temperature. Thermal hotpots are very hot pixels that are probably related to active fires. On fire, hotpot products are shared by the NASA and are freely accessible. Sensor resolution needs to be taken into account. If you have an active fire, such as this one in the picture, with a low-resolution sensor, you may detect few hotpots, each one corresponding to a large hot area. And with a medium-resolution sensor, more hotpots can be detected, each one corresponding to a smaller area. Here, I'm presenting a workflow with reproducible analysis related to spatial data assimilation and to obtain billing work reports. Last year, to monitor this on fire situation, we need to repeat quick analysis to update information for peers and journalists. And although the lockdown and the fires prevented us from conducting fieldwork, we had satellite information and our experience in the study area. The fact that we need to repeat the same analysis once and again motivated us to generate this workflow. So if you are an end-user, you only need a polygon layer of your study area. Next, you need to download the CEPED-FIRMS NASA data and say them in a specific folder in your R project. And finally, you need your project. Several steps are involved in the workflow, such as reading and unzipping the files, creating spatial objects, looking for extreme patterns, merging the spatial objects, reprojecting and clipping the spatial objects to the study area, obtaining an interactive map and exporting the point layers to shell package. Also, data tidying and plot generation are involved. And finally, you can obtain a report in English or in Spanish in just two minutes. To illustrate this workflow, I'm sharing some results on the 2020 Paranar River Delta Fires. This is an interactive map showing the various hotspots in the Paranar River Delta. Next, you obtain a plot on the daily hotspots and the cumulative number of hotspots. And you also obtain the total number of hotspots in the year. You can also perform an historical comparison of the fire activity using VIRS data or MODIS data, which differ in their sensor resolution and also in the historical availability. With MODIS data, we observed that the number of hotspots recorded in 2020 were the highest since 2008. Future work will involve an analysis of the relation between the historical fire activity and aeroclimatic trends and also estimation of barnet areas. Thanks for your attention. Muchas gracias. Here are my contact details. And I also want to recommend the Rio Adentro Project by Sebastián López Brach, whose pictures I'm sharing in my slides.