Extraction of non-point pollution using satellite imagery data

Sang Ik Lee; Yun Soo Choi; June Hwan Koh

Extraction of non-point pollution using satellite imagery data

Sang Ik Lee, Yun Soo Choi, June Hwan Koh

Department of Geoinformatics

Research output: Contribution to journal › Conference article › peer-review

Abstract

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 language	English
Journal	International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Volume	35
State	Published - 2004
Event	20th ISPRS Congress on Technical Commission VII - Istanbul, Turkey Duration: 12 Jul 2004 → 23 Jul 2004

Keywords

Land cover map
Non-point source of pollution

Cite this

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title = "Extraction of non-point pollution using satellite imagery data",

abstract = "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 {\texttrademark} 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.",

keywords = "Land cover map, Non-point source of pollution",

author = "Lee, {Sang Ik} and Choi, {Yun Soo} and Koh, {June Hwan}",

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year = "2004",

language = "English",

volume = "35",

journal = "International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives",

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T1 - Extraction of non-point pollution using satellite imagery data

AU - Lee, Sang Ik

AU - Choi, Yun Soo

AU - Koh, June Hwan

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

KW - Land cover map

KW - Non-point source of pollution

UR - http://www.scopus.com/inward/record.url?scp=85044516221&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85044516221

SN - 1682-1750

VL - 35

JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

T2 - 20th ISPRS Congress on Technical Commission VII

Y2 - 12 July 2004 through 23 July 2004

ER -

Extraction of non-point pollution using satellite imagery data

Abstract

Keywords

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