Identification and mapping of lotus (nelumbo nucifera) distribution in a shallow lake using satte; ite imagery and geographical information system (GIS)

Mohd. Ekhwan Toriman, Nor Rohaizah Binti Jamil, Mushrifah Idris, Sharifah Mastura Syed Abdullah, Habibah Ahmad, Ah Choy Er, Nor Azlina Abdul Aziz, Q. Y. Lee, Rahmah Elfithri

Research output: Contribution to journalArticle

Abstract

Tasik Chini is the 2nd largest freshwater lake of Peninsular Malaysia lately experienced diminishing population of lotus. Therefore, this study aims at mapping the distribution of lotus in two different seasons, August, 2004 (dry season) and April, 2007 (normal season) in this freshwater lake. Two IKONOS images dated August 26, 2004 (dry season) and April 07, 2006 (normal season) were acquired. Computerized analysis was carried out in image processing until the supervised classification stage by using ERDAS Imagine 8.7 and ArcGIS 9.0 software. IKONOS multispectral image acquired on both dates was geometrically corrected and a water mask was used based on strong absorption of Near Infrared (NIR) wavelengths by calm, clear and deep water. The water mask was applied using band reflectance values for a specific pixel satisfying the conditions of band decreasing property (green>red>NIR) and NIR<NIR threshold. Unsupenrised classification was applied to the wetland-only image to identify submerged plant vegetation classes. Spectral similarity among the isodata classes was used to decrease the number of the classes to the available species in the lake. Classification of IKONOS satellite data with an umupenrised classification technique provided high accuracy for identification and mapping of submerged plant coverage and of different lotus, other submerged plant species and water classes (0.4, 27.1 and 72.5%, respectively for IKONOS image dated August, 2004). Image dated April, 2006 showed, 1.45 lotus, 18.74 of other submergedaquatic plants species and water classes 79.81%. IKONOS sensor data were found to be very useful for classifying submerged plants in large and shallow lakes.

Original languageEnglish
Pages (from-to)300-305
Number of pages6
JournalJournal of Engineering and Applied Sciences
Volume7
Issue number4
DOIs
Publication statusPublished - 2012

Fingerprint

Lakes
Information systems
Infrared radiation
Water
Masks
Wetlands
Image processing
Pixels
Satellites
Wavelength
Sensors

Keywords

  • Geographical information system (GIS)
  • IKONOS satellite imageries
  • Lotus
  • Malaysia
  • Tasik Chini
  • Unsupervrised classification

ASJC Scopus subject areas

  • Engineering(all)

Cite this

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title = "Identification and mapping of lotus (nelumbo nucifera) distribution in a shallow lake using satte; ite imagery and geographical information system (GIS)",
abstract = "Tasik Chini is the 2nd largest freshwater lake of Peninsular Malaysia lately experienced diminishing population of lotus. Therefore, this study aims at mapping the distribution of lotus in two different seasons, August, 2004 (dry season) and April, 2007 (normal season) in this freshwater lake. Two IKONOS images dated August 26, 2004 (dry season) and April 07, 2006 (normal season) were acquired. Computerized analysis was carried out in image processing until the supervised classification stage by using ERDAS Imagine 8.7 and ArcGIS 9.0 software. IKONOS multispectral image acquired on both dates was geometrically corrected and a water mask was used based on strong absorption of Near Infrared (NIR) wavelengths by calm, clear and deep water. The water mask was applied using band reflectance values for a specific pixel satisfying the conditions of band decreasing property (green>red>NIR) and NIR<NIR threshold. Unsupenrised classification was applied to the wetland-only image to identify submerged plant vegetation classes. Spectral similarity among the isodata classes was used to decrease the number of the classes to the available species in the lake. Classification of IKONOS satellite data with an umupenrised classification technique provided high accuracy for identification and mapping of submerged plant coverage and of different lotus, other submerged plant species and water classes (0.4, 27.1 and 72.5{\%}, respectively for IKONOS image dated August, 2004). Image dated April, 2006 showed, 1.45 lotus, 18.74 of other submergedaquatic plants species and water classes 79.81{\%}. IKONOS sensor data were found to be very useful for classifying submerged plants in large and shallow lakes.",
keywords = "Geographical information system (GIS), IKONOS satellite imageries, Lotus, Malaysia, Tasik Chini, Unsupervrised classification",
author = "Toriman, {Mohd. Ekhwan} and Jamil, {Nor Rohaizah Binti} and Mushrifah Idris and {Syed Abdullah}, {Sharifah Mastura} and Habibah Ahmad and Er, {Ah Choy} and Aziz, {Nor Azlina Abdul} and Lee, {Q. Y.} and Rahmah Elfithri",
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language = "English",
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T1 - Identification and mapping of lotus (nelumbo nucifera) distribution in a shallow lake using satte; ite imagery and geographical information system (GIS)

AU - Toriman, Mohd. Ekhwan

AU - Jamil, Nor Rohaizah Binti

AU - Idris, Mushrifah

AU - Syed Abdullah, Sharifah Mastura

AU - Ahmad, Habibah

AU - Er, Ah Choy

AU - Aziz, Nor Azlina Abdul

AU - Lee, Q. Y.

AU - Elfithri, Rahmah

PY - 2012

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N2 - Tasik Chini is the 2nd largest freshwater lake of Peninsular Malaysia lately experienced diminishing population of lotus. Therefore, this study aims at mapping the distribution of lotus in two different seasons, August, 2004 (dry season) and April, 2007 (normal season) in this freshwater lake. Two IKONOS images dated August 26, 2004 (dry season) and April 07, 2006 (normal season) were acquired. Computerized analysis was carried out in image processing until the supervised classification stage by using ERDAS Imagine 8.7 and ArcGIS 9.0 software. IKONOS multispectral image acquired on both dates was geometrically corrected and a water mask was used based on strong absorption of Near Infrared (NIR) wavelengths by calm, clear and deep water. The water mask was applied using band reflectance values for a specific pixel satisfying the conditions of band decreasing property (green>red>NIR) and NIR<NIR threshold. Unsupenrised classification was applied to the wetland-only image to identify submerged plant vegetation classes. Spectral similarity among the isodata classes was used to decrease the number of the classes to the available species in the lake. Classification of IKONOS satellite data with an umupenrised classification technique provided high accuracy for identification and mapping of submerged plant coverage and of different lotus, other submerged plant species and water classes (0.4, 27.1 and 72.5%, respectively for IKONOS image dated August, 2004). Image dated April, 2006 showed, 1.45 lotus, 18.74 of other submergedaquatic plants species and water classes 79.81%. IKONOS sensor data were found to be very useful for classifying submerged plants in large and shallow lakes.

AB - Tasik Chini is the 2nd largest freshwater lake of Peninsular Malaysia lately experienced diminishing population of lotus. Therefore, this study aims at mapping the distribution of lotus in two different seasons, August, 2004 (dry season) and April, 2007 (normal season) in this freshwater lake. Two IKONOS images dated August 26, 2004 (dry season) and April 07, 2006 (normal season) were acquired. Computerized analysis was carried out in image processing until the supervised classification stage by using ERDAS Imagine 8.7 and ArcGIS 9.0 software. IKONOS multispectral image acquired on both dates was geometrically corrected and a water mask was used based on strong absorption of Near Infrared (NIR) wavelengths by calm, clear and deep water. The water mask was applied using band reflectance values for a specific pixel satisfying the conditions of band decreasing property (green>red>NIR) and NIR<NIR threshold. Unsupenrised classification was applied to the wetland-only image to identify submerged plant vegetation classes. Spectral similarity among the isodata classes was used to decrease the number of the classes to the available species in the lake. Classification of IKONOS satellite data with an umupenrised classification technique provided high accuracy for identification and mapping of submerged plant coverage and of different lotus, other submerged plant species and water classes (0.4, 27.1 and 72.5%, respectively for IKONOS image dated August, 2004). Image dated April, 2006 showed, 1.45 lotus, 18.74 of other submergedaquatic plants species and water classes 79.81%. IKONOS sensor data were found to be very useful for classifying submerged plants in large and shallow lakes.

KW - Geographical information system (GIS)

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KW - Unsupervrised classification

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