Generating Fine-resolution Crop Maps Based on a Geographic Position-Modulated Super-Resolution Mapping Network
Accurately mapping crop distribution is essential for sustainable agriculture, yet medium-to-low resolution remote sensing data, despite their long-term availability and low cost, are limited in fine-scale applications. Deep learning-based super-resolution mapping offers a promising solution by inferring sub-pixel crop...