IEEE Geoscience and Remote Sensing Magazine - March 2013 - 47

fIgURe 1. IMAGESEER main page at imageseer.nasa.gov.

Land Use, etc. In other words, we expect that most IMAGESEER's end users will likely be Computer Science experts
interested in NASA data, but who do not necessarily have
any Earth Science or Space Science background knowledge. The ultimate goal is to develop image processing collaborations between NASA and image processing research
groups, applying new university research to solve NASA
science questions.
b. bUildiNg iMAgeSeer
Figure 2 illustrates the general organization of the IMAGESEER database; on the back-end, automated python scripts
March 2013

ieee Geoscience and remote sensinG maGazine

convert and pre-process the NASA data (e.g., for subsetting,
registration and cloud detection), generate thumbnails and
benchmarks, and populate the database. The IMAGESEER
database is built using 27 tables and the website was developed using Hyper Text PreProcessor (PHP). IMAGESEER is
a heavily data-driven website, and the database tracks all
relevant information about the images including missions,
bands, locations, capture time, and truth data. Specifically,
four pieces of information are automatically compiled on
the image repository and imported into the database: scenes,
scene files, truth data, and the interconnections between
these first three items; mission information is also included.
47



http://imageseer.nasa.gov

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