Performances Evaluation of Surface Water Areas Extraction Techniques Using Landsat ETM+ Data: Case Study Aswan High Dam Lake (AHDL)

Elsahabi, Mohamed; Negm, Abdelazim; Tahan, Abdel Hamid M.H. El

doi:10.1016/j.protcy.2016.02.001

Cited by 40 publications

(14 citation statements)

References 7 publications

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“…In this study, the unsupervised classification technique performed significantly better compared with other techniques for surface water extraction of LN. The obtained results agree well with a previous study for Nasser Lake [16]. The overall accuracy of the unsupervised technique is about 96.34%.…”

Section: Resultssupporting

confidence: 91%

Performances Evaluation of Water Body Extraction Techniques Using Landsat ETM+ Data: Case- Study of Lake Nubia, Sudan

Elsahabi

Negmb

Ali

2016

The Egyptian International Journal of Engineering Sciences and

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Lake Nubia (LN) is the Sudanese portion of Aswan High Dam Lake (AHDL). This paper aims to detect the better technique for extraction of the water surface of LN. Eight techniques are tested using Landsat ETM+ image and their performances in extracting the surface water area are evaluated. The eight techniques include Automated Water Extraction Index [AWEI], Normalized Difference Moisture Index [NDMI], Normalized Difference Water Index [NDWI], Modified Normalized Difference Water Index [MNDWI], Normalized Difference Vegetation Index [NDVI], Water Ratio Index [WRI], Supervised and Unsupervised image classification techniques. The results indicate the effectiveness and superiority of the unsupervised technique, as it gave the highest overall accuracy (about 97.23%) and the lowest absolute error. It is recommended to apply this technique to efficiently monitor changes in the surface water areas of the lakes using Landsat ETM+ data.

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Section: Resultssupporting

confidence: 91%

Performances Evaluation of Water Body Extraction Techniques Using Landsat ETM+ Data: Case- Study of Lake Nubia, Sudan

Elsahabi

Negmb

Ali

2016

The Egyptian International Journal of Engineering Sciences and

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“…for lake mapping, such as modified NDWI (MNDWI) (Weekley and Li, 2019), normalized difference moisture index (NDMI) (Elsahabi et al, 2016), and water ratio index (WRI) (Barbieux et al, 2018;Elsahabi et al, 2016). We chose NDWI in this study as existing research indicated that NDWI appears to be more robust in detecting lake extent under various water conditions (Qiao et al, 2019;Rokni et al, 2014).…”

Section: Water Segmentationmentioning

confidence: 99%

Lake area and volume variation in the endorheic basin of the Tibetan Plateau from 1989 to 2019

Wang

et al. 2021

Preprint

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Abstract. The Tibetan Plateau, known as "the third pole of the Earth", is a region susceptible to climate change. With little human disturbance, lake storage changes serve as a unique indicator of climate change, but comprehensive lake storage data are rare in the region, especially for the lakes with an area less than 10 km2 which are the most sensitive to environmental changes. In this paper, we completed a census of annual lake volume change for 976 lakes larger than 1 km2 in the endorheic basin of the Tibetan Plateau (EBTP) during 1989–2019 using Landsat imagery and digital terrain models. Validation and comparison with several existing studies indicate that our data are more reliable. Lake volume in the EBTP exhibited a net increase of 193.45 km3 during the time period with an increasing rate of 6.45 km3 year−1. In general, the larger the lake area, the greater the lake volume change, though there are some exceptions. Lakes with an area less than 10 km2 have more severe volume change whether decreasing or increasing. This research complements existing lake studies by providing a comprehensive and long-term lake volume change data for the region. The dataset is available on Zenodo (https://doi.org/10.5281/zenodo.5543615, Wang et al., 2021).

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“…In this paper, water index calculation methods have been used and applied to unsupervised classification, enabling the automation of the entire process. Many authors have lately attempted to improve the results and test the quality of different water indices (Feyisa et al, 2014;Baiocchi et al, 2012;Maglione et al, 2014;Elsahabi et al, 2016;Mukherjee and Samuel, 2016;Sarp and Ozcelik, 2016;Kaplan and Avdan, 2017a) on individual satellite sensors. Some authors have compared multiple indices across multiple sensors, e. g. Kwang (2018) compared the accuracy of 4 water indices on 2 sensors, Zou et al, (2017) compared 9 indices across 3 sensors, and El Kafrawy et al, (2017) 3 indices and 2 remote sensing methods on 2 multispectral sensors.…”

Section: Methodsmentioning

confidence: 99%

Application of Satellite Imagery and Water Indices to the Hydrography of the Cetina RiverBasin (Middle Adriatic)

Leder

Baučić

2020

Trans. Marit. Sci.

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The paper gives a brief description of the remote sensing method used for the identification and extraction of water surfaces. Landsat 8 and Sentinel 2 satellite imagery was used to separate land from bodies of water in the complex karst area surrounding the Croatian Cetina River, flowing into the Adriatic Sea. Water indexing methods are presented in detail. The most frequently used water indices were selected: NDWI, MNDWI, AWEI_nsh, AWEI_sh, WRI and LSWI, and their results compared. The combination of satellite imagery and calculated water indices is concluded to be very useful for the identification and mapping of the area and banks of lakes, riverine zones, river mouths and the coastline in the coastal zone. Landsat 8 satellite imagery is slightly inferior to Sentinel 2 due to lower image resolution. The best results were obtained with the NDWI water index and the worst with LSWI.

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Performances Evaluation of Surface Water Areas Extraction Techniques Using Landsat ETM+ Data: Case Study Aswan High Dam Lake (AHDL)

Cited by 40 publications

References 7 publications

Performances Evaluation of Water Body Extraction Techniques Using Landsat ETM+ Data: Case- Study of Lake Nubia, Sudan

Performances Evaluation of Water Body Extraction Techniques Using Landsat ETM+ Data: Case- Study of Lake Nubia, Sudan

Lake area and volume variation in the endorheic basin of the Tibetan Plateau from 1989 to 2019

Application of Satellite Imagery and Water Indices to the Hydrography of the Cetina RiverBasin (Middle Adriatic)

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