Satellite-based assessment of the anthropogenic impacts on environmental sustainability in Jazan region, Red Sea

Zanaty, Naglaa; Mansour, Kamel; Fathi, Heba

doi:10.1016/j.ejrs.2022.12.002

Cited by 5 publications

(3 citation statements)

References 28 publications

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“…Regarding the digital elevation model, Xu et al [60], for example, compared some products that play a critical role in flood simulation. Regarding dissolved iron products, Zanaty et al [61], for example, compared land use and land cover maps with some water quality products that were provided by CMEMS to assess the anthropogenic impacts on environmental sustainability. Regarding hydrodynamic products, Brempong et al [62], for example, utilized data produced by the Laboratory of Geophysical and Oceanographic Spatial Studies of Toulouse to assess the major factors contributing to coastal flooding.…”

Section: Available Productsmentioning

confidence: 99%

“…The characteristics of the four eligible papers whose authors mapped dissolved iron and dissolved oxygen (DO) [48] are summarized in Table A12. The analysis of the papers highlighted that they exploited three available products and one remote image (Sentinel-2 data [61]). All authors monitored dissolved iron and oxygen over time [61].…”

Section: Dissolved Iron and Dissolved Oxygenmentioning

confidence: 99%

“…The analysis of the papers highlighted that they exploited three available products and one remote image (Sentinel-2 data [61]). All authors monitored dissolved iron and oxygen over time [61].…”

Section: Dissolved Iron and Dissolved Oxygenmentioning

confidence: 99%

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Remote Data for Mapping and Monitoring Coastal Phenomena and Parameters: A Systematic Review

Cavalli

2024

Remote Sensing

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Since 1971, remote sensing techniques have been used to map and monitor phenomena and parameters of the coastal zone. However, updated reviews have only considered one phenomenon, parameter, remote data source, platform, or geographic region. No review has offered an updated overview of coastal phenomena and parameters that can be accurately mapped and monitored with remote data. This systematic review was performed to achieve this purpose. A total of 15,141 papers published from January 2021 to June 2023 were identified. The 1475 most cited papers were screened, and 502 eligible papers were included. The Web of Science and Scopus databases were searched using all possible combinations between two groups of keywords: all geographical names in coastal areas and all remote data and platforms. The systematic review demonstrated that, to date, many coastal phenomena (103) and parameters (39) can be mapped and monitored using remote data (e.g., coastline and land use and land cover changes, climate change, and coastal urban sprawl). Moreover, the authors validated 91% of the retrieved parameters, retrieved from remote data 39 parameters that were mapped or monitored 1158 times (88% of the parameters were combined together with other parameters), monitored 75% of the parameters over time, and retrieved 69% of the parameters from several remote data and compared the results with each other and with available products. They obtained 48% of the parameters using different methods, and their results were compared with each other and with available products. They combined 17% of the parameters that were retrieved with GIS and model techniques. In conclusion, the authors addressed the requirements needed to more effectively analyze coastal phenomena and parameters employing integrated approaches: they retrieved the parameters from different remote data, merged different data and parameters, compared different methods, and combined different techniques.

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Section: Available Productsmentioning

confidence: 99%

Section: Dissolved Iron and Dissolved Oxygenmentioning

confidence: 99%

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Remote Data for Mapping and Monitoring Coastal Phenomena and Parameters: A Systematic Review

Cavalli

2024

Remote Sensing

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Groundwater Pollution Sources and Its Quality in the Kingdom of Saudi Arabia: State of the Art

El-Rawy,

Fathi

2023

The Handbook of Environmental Chemistry

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Future land use land cover changes in El-Fayoum governorate: a simulation study using satellite data and CA-Markov model

Atef,

Ahmed,

Abdel-Maguid

2023

Stoch Environ Res Risk Assess

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This study aims to monitor the changes in land use land cover (LULC) in El-Fayoum governorate over time (past, present, and future) to provide current information for stakeholders involved in land use planning. The study utilized Landsat satellite images and applied the Support Vector Machine algorithm using ArcGIS Pro 2.8.3 to classify the images into four major LULC classes: water, desert, built-up, and agricultural. To evaluate the accuracy of the LULC maps, the study used kappa statistical parameters, which ranged from 0.91 to 0.94, indicating acceptable results for further analysis. To predict spatio-temporal LULC changes, the study considered biophysical and socioeconomic factors such as distance to canals, distance to roads, distance to urban areas, a digital elevation model, and slope. A combination of Multi-Criteria Evaluation, a Fuzzy Membership Function, and the Analytic Hierarchy Process were employed to develop a land cover suitability map. The Hybrid CA-Markov model of the IDRISI-TerrSet software was used to simulate LULC changes, and the accuracy of the simulation was validated using 2020 imagery data. The values gained from the kappa indices for agreement (standard) = 0.9006, kappa for lack of information (no) = 0.916, and kappa for location at grid cell level (location) = 0.9572 demonstrate that the results of the simulation of the LULC changes were deemed satisfactory. The future scenarios modeled in LULC indicate a significant change in the LULC classes over time, specifically for 2030. The change rates of agriculture, desert, built-up, and water areas in El-Fayoum in 2030 compared to 2020 are estimated to be 9.68%, − 17.58%, 133.62%, and 6.06%, respectively. These findings establish both past and future LULC trends and provide crucial data useful for planning and sustainable land use management.

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Satellite-based assessment of the anthropogenic impacts on environmental sustainability in Jazan region, Red Sea

Cited by 5 publications

References 28 publications

Remote Data for Mapping and Monitoring Coastal Phenomena and Parameters: A Systematic Review

Remote Data for Mapping and Monitoring Coastal Phenomena and Parameters: A Systematic Review

Groundwater Pollution Sources and Its Quality in the Kingdom of Saudi Arabia: State of the Art

Future land use land cover changes in El-Fayoum governorate: a simulation study using satellite data and CA-Markov model

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