Applying DEM data to improve performance of water extraction indices using landsat 8 OLI images in mountainous area

Elham Goumehei, Wanglin Yan

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

Abstract

Water is one of the most important earth resources which is essential to human health, society and environment. Studies on water extraction and changes have been subjects of academic studies for many years. Remote sensing as an efficient and reliable tool has been used in recent years and Landsat satellite imagery were one of the most common data due to their advantages in spatial resolution and cost. Improvement of new Landsat 8, the Operational Land Imager (OLI) data attracted more attentions recently. This study uses the Landsat 8 OLI imagery data source for water information extraction based on the Normalized Difference Water Index (NDWI), Modified Normalized Water Index (MNDWI) and Automated Water Extraction Index (AWEI) to compare the effect of using The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Digital Elevation Model (GDEM) in mountainous area. The study area is Kermanshah, in west of Iran, a mountainous area which has difficulties for water extraction due to shadows and dark objects. Due to small area of water bodies in study area user's accuracy were used for evaluation of results. User accuracy for water class gives results of 23.68%, 24.34% and 22.57% for NDWI, MNDWI and AWEI, respectively. In other words, around 77% of pixels which classified as water are not water and are misclassified pixels. Applying DEM data improves results to 27.44%, 29.1% and 27.22% for NDWI, MNDWI and AWEI, respectively which shows slight increase of 3.76%, 4.88% and 4.65%.

Original languageEnglish
Title of host publicationProceedings - 2016 International Electronics Symposium, IES 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages455-458
Number of pages4
ISBN (Electronic)9781509016402
DOIs
Publication statusPublished - 2017 Feb 21
Event18th International Electronics Symposium, IES 2016 - Bali, Indonesia
Duration: 2016 Sep 292016 Sep 30

Other

Other18th International Electronics Symposium, IES 2016
CountryIndonesia
CityBali
Period16/9/2916/9/30

Fingerprint

Landsat
Imager
Image sensors
Water
water
Landsat satellites
Pixel
Pixels
Earth resources
pixels
Digital Elevation Model
Satellite Imagery
digital elevation models
satellite imagery
Iran
Satellite imagery
Radiometer
Information Extraction
Radiometers
thermal emission

Keywords

  • DEM
  • index
  • Landsat 8 OLI
  • mountainous area
  • water extraction

ASJC Scopus subject areas

  • Computer Science Applications
  • Algebra and Number Theory
  • Electrical and Electronic Engineering
  • Instrumentation

Cite this

Goumehei, E., & Yan, W. (2017). Applying DEM data to improve performance of water extraction indices using landsat 8 OLI images in mountainous area. In Proceedings - 2016 International Electronics Symposium, IES 2016 (pp. 455-458). [7861049] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ELECSYM.2016.7861049

Applying DEM data to improve performance of water extraction indices using landsat 8 OLI images in mountainous area. / Goumehei, Elham; Yan, Wanglin.

Proceedings - 2016 International Electronics Symposium, IES 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 455-458 7861049.

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

Goumehei, E & Yan, W 2017, Applying DEM data to improve performance of water extraction indices using landsat 8 OLI images in mountainous area. in Proceedings - 2016 International Electronics Symposium, IES 2016., 7861049, Institute of Electrical and Electronics Engineers Inc., pp. 455-458, 18th International Electronics Symposium, IES 2016, Bali, Indonesia, 16/9/29. https://doi.org/10.1109/ELECSYM.2016.7861049
Goumehei E, Yan W. Applying DEM data to improve performance of water extraction indices using landsat 8 OLI images in mountainous area. In Proceedings - 2016 International Electronics Symposium, IES 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 455-458. 7861049 https://doi.org/10.1109/ELECSYM.2016.7861049
Goumehei, Elham ; Yan, Wanglin. / Applying DEM data to improve performance of water extraction indices using landsat 8 OLI images in mountainous area. Proceedings - 2016 International Electronics Symposium, IES 2016. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 455-458
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abstract = "Water is one of the most important earth resources which is essential to human health, society and environment. Studies on water extraction and changes have been subjects of academic studies for many years. Remote sensing as an efficient and reliable tool has been used in recent years and Landsat satellite imagery were one of the most common data due to their advantages in spatial resolution and cost. Improvement of new Landsat 8, the Operational Land Imager (OLI) data attracted more attentions recently. This study uses the Landsat 8 OLI imagery data source for water information extraction based on the Normalized Difference Water Index (NDWI), Modified Normalized Water Index (MNDWI) and Automated Water Extraction Index (AWEI) to compare the effect of using The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Digital Elevation Model (GDEM) in mountainous area. The study area is Kermanshah, in west of Iran, a mountainous area which has difficulties for water extraction due to shadows and dark objects. Due to small area of water bodies in study area user's accuracy were used for evaluation of results. User accuracy for water class gives results of 23.68{\%}, 24.34{\%} and 22.57{\%} for NDWI, MNDWI and AWEI, respectively. In other words, around 77{\%} of pixels which classified as water are not water and are misclassified pixels. Applying DEM data improves results to 27.44{\%}, 29.1{\%} and 27.22{\%} for NDWI, MNDWI and AWEI, respectively which shows slight increase of 3.76{\%}, 4.88{\%} and 4.65{\%}.",
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