Landsat Tm-8 Data for Retrieving Salinity in Al-Huwaizah Marsh, South of Iraq

Hasab, Hashim Ali; Ahmad, Anuar; Marghany, Maged; Ziboon, Abdul Razzak T.

doi:10.11113/jt.v75.3988

Cited by 6 publications

(10 citation statements)

References 23 publications

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“…For various places, several investigators from across the world have developed many approaches for detecting water quality metrics using Landsat images [9,26,29,[31][32][33][34][35]. Gonzalez-Marquez et al (2018) demonstrated that Landsat-8 Operational Land Imager (OLI) images may be used to analyze water quality metrics such as phosphate concentrations, electrical conductivity, total suspended particles, turbidity, and pH in Mexico's coastal zones.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Palm Jumeirah Island’s Construction Effects on the Surrounding Water Quality and Surface Temperatures during 2001–2020

Mansourmoghaddam

Malamiri

Rousta

et al. 2022

Water

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Climate change stressors like rising and warmer seas, increased storms and droughts, and acidifying oceans are rapidly threatening coastal zones, which are the world’s most densely inhabited places. This research assesses the effects of Palm Jumeirah Island (PJI) construction on its surrounding water quality and temperature, using Landsat-7 and 8 spectral and thermal bands for the years 2001, 2014, 2016, 2019, and 2020. To aid in this goal, the changes in water spectral reflectance was observed and interpreted, based on previous research and measurements, to discover the correlation between water quality and its spectral reflectance. Then, the sea surface temperature (SST) was calculated for the years under review and changes in water temperature were evaluated. Finally, the Green Normalized Difference Vegetation Index (GNDVI) and the Normalized Difference Turbidity Index (NDTI) were calculated to estimate water chlorophyll levels and water turbidity, respectively, and changes were observed and interpreted for the time period under review. The present study showed that the PJI construction not only increased the water reflectance in the 0.5–0.8 µm of wavelength, which can be considered to be the increase of suspended sediments and chlorophyll but the water temperature also increased by 7.5 °C during the 19 years. In addition, a gradual increase in the values of GNDVI (by 0.097–0.129) and NDTI (by 0.118~0.172) were observed. A drop in chlorophyll and suspended sediment spectral reflectance and GNDVI and NDTI values were also observed in 2020 compared to 2019 which can be attributed to the 63 to 82% decrease in tourists in Dubai in 2020 as a result of the COVID-19 pandemic. This study aims to draw attention to environmental issues by clarifying the effect of creating artificial islands in the sea and our analysis and results are a suitable reference for specialized hydrological and environmental studies based on spectral information and distance measurements, as presented in this paper.

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Section: Introductionmentioning

confidence: 99%

Assessment of Palm Jumeirah Island’s Construction Effects on the Surrounding Water Quality and Surface Temperatures during 2001–2020

Mansourmoghaddam

Malamiri

Rousta

et al. 2022

Water

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“…According to the pie chart percentile, it is obvious that the bulk of the geospatial research was conducted on lakes [27] [28] [29] [29] [30], and inland water bodies [31], [32] [15] [33] with no distinction made between the two types of water bodies. Again, according to this review study, 14 percent of the research articles were focused on the bay [19] [33] [34] , sea [14], [35] [36], and coastal environment [31] [11] [20], whereas marsh (10%) [13][12], reservoir (5%) [37], and estuaries (5%) [19] were found to be at the bottom of the priority list. Finally, researchers found that other parameters were employed in 24 percent of study publications that were ascribed less relevance by the researchers.…”

Section: Water Bodiesmentioning

confidence: 99%

“…Finally, researchers found that other parameters were employed in 24 percent of study publications that were ascribed less relevance by the researchers. Those are related to one's water-leaving reflectance (pw) Remote sensing reflectance (Rrs) [15], chlorophytes [19], total suspended matter (TSM) [38], total suspended solids, thermal pollution [28], pH, alkalinity, total dissolved solids and dissolved oxygen [37], Suspended sediment (SS), Secchi disk depth (SDD) [12], Water salinity and SO4 and CaCO3 levels [13], Cyanobacterial-dominance, surface scums and floating vegetation [31]. and Sentinel-3 [35].…”

Section: Water Bodiesmentioning

confidence: 99%

State-of-the-Art Review of Assessing Water Quality from Space

prapti

Shahar²,

Shariff

2022

IOP Conf. Ser.: Earth Environ. Sci.

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Water acts as the medium which helps supply seafood and freshwater food for human consumption and drinking water. It is thus imperative that such a precious resource should be well monitored to safeguard human health and survival. Conventionally water quality can be monitored through manual laboratory-based methods which are time-consuming. Ground-based sensors are helping in expediting this task, though it involves the use of multiple sensors at various locations and requires regular maintenance and replacement. Satellite technology provides a good alternative method as it can scan large areas at a relatively low cost. Measurements of parameters such as sea surface temperature, total suspended solids (turbidity), primary food production (chlorophyll A), abnormal movement of aquatic animal, disease occurrence, water oxygen deficiency, growth monitoring of aquatic life and many others have been successfully reported in the literature. With the advent of micro-satellites that can transmit higher resolution images with a finer spectral resolution, greater advancements can be made for the detection of a greater number of critical water quality parameters. This paper reviewed the existing status of the water quality monitoring from space technology and covered published research done in various parts of the globe, including the problems, solutions, algorithm used, the advantages of the study, research region, water bodies, water quality variable, and satellites data.

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“…In the last decade, the use of geospatial technologies (GIS and RS) has been used to find out the capability of the methods in WQP prediction in relation to the phytoplankton (Gernez, 2017;González-márquez et al, 2018;Hasab et al, 2015). The most common methods for data acquisition are via satellite imagery with the integration of the GIS platform (Avdan et al, 2019;Gong et al, 2014;Shoaib et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…With a variety type of sensors such as Landsat-7 (TM/ETM+), Landsat-8 (OLI), Sentinel, Interferometric Synthetic Aperture Radar (IFSAR), RapidEye, and Moderate Resolution Imaging Spectroradiometer (MODIS) where each sensor has a specific algorithm for WQP estimation. For example, statistical equation models for Landsat-8 were used to estimate salinity by integrating ground sampling salinity data with the normalized difference vegetation index (NDVI) (Hasab et al, 2015). Landsat 8 OLI/TIRS and Sentinel MSI are often preferred among researchers for WQP estimation because of their wide range of hyperspectral bands as compared to other lower spectral resolution images.…”

Section: Introductionmentioning

confidence: 99%

A Review of Methods and Regression Models Using Satellite Imageries on Phytoplankton's Water Quality Parameters Estimation

Muhamad

Mokhtar²,

Roslani³

2023

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Water quality monitoring is compulsory to maintain and preserve aquatic ecosystem health, especially for the phytoplankton community. Phytoplankton abundance relies greatly on the condition of water, it is important to assess the water quality parameter (WQP) to estimate the abundance of PP. However, obtaining WQP using conventional methods (water sampling and laboratory assessment) requires more time and cost of operation. Therefore, Geographical Information System (GIS) and remote sensing (RS) approaches are becoming popular methods of measuring water quality parameters (turbidity, total suspended solids (TSS), temperature, pH, etc). This paper aims to review the assessment of WQP in relation to PP abundance and other interchangeable factors from the recent studies and efforts on WQP assessment using geospatial technologies approaches. Methods, algorithms, and accuracies established from the GIS and RS techniques are discussed. From ten (10) extended review research articles, it is revealed that most WQP has an indirect and direct effect on human activities, seasonal changes, fish production, water pollution, and especially PP abundance. In addition, about nine (9) previous research articles revealed the use of various satellite image sensors to estimate WQP from Landsat 8 is the most common, to Landsat 7 ETM+, 5, Sentinel MSI, and the least used is RapidEye. Further research also finds that the three most common types of WQP estimated via the geospatial analysis method are turbidity, pH, and Secchi depth with the highest R2 value equal to 0.810,0.947, and 0.990 respectively.

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Landsat Tm-8 Data for Retrieving Salinity in Al-Huwaizah Marsh, South of Iraq

Cited by 6 publications

References 23 publications

Assessment of Palm Jumeirah Island’s Construction Effects on the Surrounding Water Quality and Surface Temperatures during 2001–2020

Assessment of Palm Jumeirah Island’s Construction Effects on the Surrounding Water Quality and Surface Temperatures during 2001–2020

State-of-the-Art Review of Assessing Water Quality from Space

A Review of Methods and Regression Models Using Satellite Imageries on Phytoplankton's Water Quality Parameters Estimation

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