The use of remote sensing & geographical information systems to identify vegetation

The case of dhofar governorate (Oman)

T. Al-Awadhi, A. Al-Shukili, Q. Al-Amri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Extracting and identifying vegetation from satellite images is a major topic in Remote Sensing and GIS. Several techniques have been developed by scientists worldwide. This study aims to evaluate the approaches to the extraction of vegetation from satellite images and to examine each approach within the GIS environment. Three different approaches were used: The first is Normalized Difference Vegetation Index (NDVI), the second is Supervised Classification and the third is Unsupervised Classification. These three methods were examined using two Landsat scenes for Dhofar Governorate which lies in the Southern part of Oman. The two Landsat scenes were acquired on 4th May 2001. The preliminary results show that there are variations in the total areas of vegetation between the three approaches. For example, the total vegetation area using NDVI approach is just above 900 Km2, but it increases to more than 1700 Km2 when using upervised classification, and then it increases again to more than 3300 Km2 when using the unsupervised classification approach.

Original languageEnglish
Title of host publication34th International Symposium on Remote Sensing of Environment - The GEOSS Era
Subtitle of host publicationTowards Operational Environmental Monitoring
Publication statusPublished - 2011
Event34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring - Sydney, NSW, Australia
Duration: Apr 10 2011Apr 15 2011

Other

Other34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring
CountryAustralia
CitySydney, NSW
Period4/10/114/15/11

Fingerprint

Remote sensing
Information systems
Geographic information systems
Satellites

Keywords

  • Dhofar
  • GIS
  • Oman
  • RS
  • Vegetation

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Environmental Engineering

Cite this

Al-Awadhi, T., Al-Shukili, A., & Al-Amri, Q. (2011). The use of remote sensing & geographical information systems to identify vegetation: The case of dhofar governorate (Oman). In 34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring

The use of remote sensing & geographical information systems to identify vegetation : The case of dhofar governorate (Oman). / Al-Awadhi, T.; Al-Shukili, A.; Al-Amri, Q.

34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring. 2011.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Al-Awadhi, T, Al-Shukili, A & Al-Amri, Q 2011, The use of remote sensing & geographical information systems to identify vegetation: The case of dhofar governorate (Oman). in 34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring. 34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring, Sydney, NSW, Australia, 4/10/11.
Al-Awadhi T, Al-Shukili A, Al-Amri Q. The use of remote sensing & geographical information systems to identify vegetation: The case of dhofar governorate (Oman). In 34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring. 2011
Al-Awadhi, T. ; Al-Shukili, A. ; Al-Amri, Q. / The use of remote sensing & geographical information systems to identify vegetation : The case of dhofar governorate (Oman). 34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring. 2011.
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