IMT-Project-LTS-SR/MRUNet-for-MODIS-super-resolution
This is the github repository for the article: Convolutional Neural Network Modelling for MODIS Land Surface Temperature Super-Resolution
This project helps environmental scientists, climate researchers, and urban planners obtain more detailed land surface temperature maps from satellite data. It takes low-resolution MODIS satellite images of land surface temperature and converts them into higher-resolution versions, providing a clearer picture of temperature variations across an area. The output is a refined temperature map that can be used for various environmental analyses.
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Use this if you need to analyze fine-scale temperature patterns from MODIS satellite data but are limited by its standard resolution.
Not ideal if you require real-time temperature data or are working with satellite imagery other than MODIS.
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