Extraction of non-point pollution using satellite imagery data

Sang Ik Lee, Yun Soo Choi, June Hwan Koh

Research output: Contribution to journalConference articlepeer-review


Land cover map is a typical GIS database which shows the Earth's physical surface differentiated by standardized homogeneous land cover types. Satellite images acquired by Landsat ™ were primarily used to produce a land cover map of 7 land cover classes; however, it now becomes to produce a more accurate land cover classification dataset of 23 classes thanks to higher resolution satellite images, such as SPOT-5 and IKONOS. The use of the newly produced high resolution land cover map of 23 classes for such activities to estimate non-point sources of pollution like water pollution modelling and atmospheric dispersion modelling is expected to result a higher level of accuracy and validity to various environmental monitoring results.

Original languageEnglish
JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
StatePublished - 2004
Event20th ISPRS Congress on Technical Commission VII - Istanbul, Turkey
Duration: 12 Jul 200423 Jul 2004


  • Land cover map
  • Non-point source of pollution


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