egronskaya/Super-Resolution-for-Satellite-Imagery
Use super-resolution models for upscaling low-resolution satellite images
This project helps environmental analysts and climate action project managers evaluate the impact of interventions like conservation efforts over time, especially when high-resolution satellite data is scarce for historical periods. It takes low-resolution historical satellite images (like Landsat 8) and transforms them into higher-resolution versions, making them comparable to modern, high-resolution imagery (like Sentinel-2). This allows for more accurate baseline assessments of carbon sequestration or deforestation, reducing the need for tedious manual analysis.
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Use this if you need to analyze changes in land cover or carbon sequestration in specific geographical regions over long periods, but only have access to low-resolution historical satellite imagery.
Not ideal if you require real-time, ultra-high-resolution imagery for very small-scale, immediate monitoring or if your historical data is already sufficient.
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May 11, 2022
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