paper-with-me

ChaBuD

Change detection for Burned area Delineation

홈페이지

The dataset comprises patches of size 512x512 pixels collected from Sentinel-2 L2A satellite mission. All reported forest fires are located in California. For each area of interest, two images are provided: pre-fire acquisition and post-fire acquisition. Each image is composed of 12 different channels, collecting information from the visible spectrum, infrared and ultrablue. The dataset is split into: - train set - validation set - hidden test set, for which ground truth labels are not disclosed. The hdf5 file is structured in this way: `` root | |- uuid_0: {"post_fire", "pre_fire", "mask"} | | |- uuid_1: {"post_fire", "pre_fire", "mask"} | ... `` Each uuid have associated an attribute called fold. Dataset can be downloaded from here. You can find a script that can be used to load data. Additional optional data are available here. If you need more data, contact us.

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