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USNG Evaluation

USNG Evaluation. Dr Christophe Sannier Head of Research and Development , Villeneuve d’Ascq, France. Product Search/GUI (1). Generally very good and intuitive Improvements could be made by avoiding redundancy between menu items, e.g. dataset/mission, why not using drop down contextual menus?

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USNG Evaluation

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  1. USNG Evaluation Dr Christophe Sannier Head of Research and Development , Villeneuve d’Ascq, France USNG Workshop (Phase 2)

  2. Product Search/GUI (1) • Generally very good and intuitive • Improvements could be made by avoiding redundancy between menu items, e.g. dataset/mission, why not using drop down contextual menus? • The background data provided is at a reasonable level of details and the ability to import vector and image file provides a high potential for customizing the visualization • The import image and AOI work well • A suggestion would be to provide a utility to export quick looks to Google Earth, Yahoo or Bing maps. USNG Workshop

  3. Product Search/GUI (2) The time slider function is useful when there are few images to choose from (less than 20). It was sometimes impossible to set the start date, to do so one had first to set the end date and then it was possible to change the start date Regarding the band mapping option, it is useful to identify vegetated areas with the false colour composite mode, but It would be more accurate to call the RGB mode True colour composite. The extrude function is a useful feature, but the AOI appears to be displaced when rotating the view on the map USNG Workshop

  4. AOI should be about here USNG Workshop

  5. Faceted Search and Data Mining It is not very clear how the data mining process is applied From the information available, this function is potentially misleading as the process does not seem validated. Why not using a validated dataset such as the ESA GlobCover product? The usefulness of the “Find Similar” feature is questionable: why would a user need to find similar images on areas with no a priori knowledge? The example shown in the tutorial is not very convincing: what is the similarity between a coastal area in Morocco and the Nile delta?  A more useful feature would be to determine precisely the amount of cloud cover and possibly create accurate cloud masks. This could then be used to identify how many image scenes should be used to create a cloud free composite over cloudy areas where it is often difficult to acquire completely cloud free images. USNG Workshop

  6. Interactive Search This is a potentially useful feature, but the display of the image’s footprint and quicklook is sometimes very slow, with no indication that the search is pending, giving the impression that nothing is happening. In addition, there seems to be a minimum zoom factor at which the search is implemented (if the area is too large no search appears to be carried out). There is no information at what zoom factor this is available. The zoom factor would also depend on the type of imagery: e.g. the scale of an interactive search would be different for MERIS and Landsat. USNG Workshop

  7. Interferometric Search Not a specialist of interferometry The search for an area of interest only seem to intersect with the master frame and the slave image could cover a different area USNG Workshop

  8. USNG Workshop

  9. Ordering The ordering process was straightforward, but the value added data options were not available from the ordering options contrary to what was indicated in the tutorial. Cloud detection would be useful not only on the Medium Resolution products, but also in the High Resolution products. NDVI should be computed on the basis of calibrated values (top of atmosphere reflectance factor) USNG Workshop

  10. Manual Manual is still very much work in progress, some sentences are not always very clear and figures and tables are not referenced in the text. This makes it sometimes difficult to understand what they are about: e.g., Figure 11 makes reference to ‘City Area Selection’ which are not at all mentioned in the text. In addition, some critical functions that are included in the software are not documented (e.g. vector import function). USNG Workshop

  11. Case Study: Urban Atlas SIRS is the main contractor for the Urban Atlas production over Europe. Acquisition and processing of the imagery under the supervision of ESA SIRS has to validate the choice of imagery. The quality of the quick looks makes it often difficult to reach a decision There is the need to combine 2.5m Pan with 10m multispectral imagery. The use of the software to identify appropriate scenes would be particularly useful especially if the cloud mask and shapefile import feature are implemented. USNG Workshop

  12. Case study: deforestation • Involvement in deforestation mapping/monitoring projects over large areas (whole countries). • A total of 20 Landsat Scenes to cover the whole study area • Three dates: 1990, 2000 and 2010 • Equatorial area, heavy cloud cover • Need to combine several cloud covered scenes USNG Workshop

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