- The cloud-native asset model (CNAM) enhances all UP42 assets from a tasking or catalog order by transforming them into individual geospatial features that are ready for immediate download. Regardless of provider or delivery format, UP42 automatically transforms assets into a standard model, without any additional steps. This common model is further improved by converting raster data into cloud-optimized GeoTIFFs and vector masks into GeoJSONs. CNAM ensures interoperability and eases integration by removing the need to learn different data formats, delivery structures, and naming conventions. Users now have a simplified process of searching, visualizing, and downloading data.
- Coming back soon: currently not available. Performs automatic detection and correction of sub-pixel misalignments between remote sensing datasets.
- Pansharpening is an image fusion technique that merges high resolution panchromatic images with lower-resolution multispectral images to yield a single high spatial and high spectral resolution image. With UP42, you can easily convert your data into a pansharpened product through a streamlined process that requires only a few clear steps.
- An algorithm that improves the spatial resolution of RGB bands in Pléiades or Pléiades Neo imagery. Upsampling can be used as a pre-processing step before change detection, vegetation detection, infrastructure detection, fire risk estimation, and land use management.
- An algorithm that improves the spatial resolution of RGB bands in Sentinel-2 imagery. Upsampling can be used as a pre-processing step before change detection, vegetation detection, infrastructure detection, fire risk estimation, and land use management.