When analyzing satellite imagery, cloud cover can significantly impact data accuracy. For instance, while studying vegetation health using NDVI, even a small amount of cloud cover can skew results. Has anyone else faced challenges with interpreting imagery under varied weather conditions? I’d love to hear your experiences or strategies for dealing with this issue.