Satellite imagery
Time-series satellite images provide a sequence of spatial data captured over regular intervals, enabling the analysis of changes on the Earth's surface over time. These images are particularly useful in monitoring environmental phenomena, land use changes, urban development, and agricultural patterns. By examining the same location at different time points, time-series satellite imagery allows for the detection of trends, anomalies, and transitions in land cover.
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This dataset is derived from Sentinel-2 satellite imagery.
The main goal is to employ this dataset to train and classify images into two classes: with trees, and without trees.
The structure of the dataset is 2 folders named: "tree" (images containing trees) and "no-trees" (images without presence of trees).
Each folder contains 5200 images of this type.
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