Officially published by ESA on October 1st, the raw image (2021-09-30) is already available at Google-Earth-Engine , where you can manipulate with a simple code filters and thresholds for edge detection. In this demo we used a true color background shifted to reds, and a Normalized-Difference (B4 red, B11 SWIR 1) index for the lava flow. Check the code here .
During one seminar I was asked how bed level changes after a major flood. Quick answer with drone imagery: the top picture is from October-2021 and the bottom one from March-2022, with a major flood in between: December-2021 . Shapes and volumes can be tracked down accurately processing the digital terrain models. Google-Sat background at Alcalá de Ebro. October 2021 March 2022
This year we start to promote and support NN modules, particularly based in LSTM, following the Neural-Hydrology stream, and using PyTorch open resources. We expect to cover Rainfall-Runoff data-driven models and Time-Series prediction related to any kind of Environmental Modelling. Ask for prospects in this field and support to configure neural cells for training, validation and testing. The picture reminds the connection between NN setups and linear water storage tanks.
Comments
Post a Comment