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Data acquisition and File structures

Learn about data acquisition characteristics for images, including platform/sensor, spectra, time/day, area, and processing level. Explore various platforms, sensors, and archives for acquiring remote sensing data efficiently.

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Data acquisition and File structures

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  1. Data acquisition and File structures Coco Rulinda (CGIS-NUR) for PGD 2009 Based on slides by Boudewijn van Leeuwen, ITC-RSG-GTS Advanced Remote Sensing – PGD 2009

  2. Data Aquisition

  3. Characteristics of an Image • Platform/Sensor • Spectra • Day time • Time/Period/Availability • Area • Spatial resolution • Processing level • Price

  4. Selections • Platform/Sensor Airborne, Spaceborne, spatial resolution, spectra, number of bands, processing level • Time of the day/Time/Period/Availability Shadow, vegetation, archive, acquisition request • Area/Location 1 scene, multiple scenes, 1 path • Price Free, academic, commercial Subject 1

  5. Some Archives • EOS Data Gateway – very large number of sensors • GLCF – Cheap Landsat data • Earth Explorer – Landsat/ASTER, graphical interface • NOAA SAA – NOAA, AVHRR • Eurimage – many sensors, commercial

  6. Data sets A data set consists of: • One or more header files • One or more data files • Or a combined data and header file

  7. Image file

  8. Header File (.hdr) • Readable with e.g. Notepad • Small • Information: • Acquisition date • Path/Row • Corner coordinates • Rows/columns • Radiometric resolution • Calibration parameters • …

  9. HDF format

  10. Useful links • Earth Observing System Data Gateway http://edcimswww.cr.usgs.gov/pub/imswelcome/ • ITC’s Database of Satellites and Sensors: http://www.itc.nl/research/products/sensordb/searchsat.aspx • HDF Explorer http://www.space-research.pt/index.html • Java HDF Viewer http://hdf.ncsa.uiuc.edu/java-hdf-html/

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